Appendix B 

Conceptual Description 
ii

Air Resource Specialists, Inc. 

VISTAS Conceptual Description Support Document 

Prepared for the: 

Visibility Improvement State and Tribal Association of the Southeast 

The Interchange Building 

59 Woodfin Place 

Asheville, North Carolina 28801 

Prepared by: 

Air Resource Specialists, Inc. 

1901 Sharp Point Drive, Suite E 

Fort Collins, Colorado 80525 

(970) 484-7941 

www.air-resource.com

With Significant Contribution from: 

Patricia Brewer, VISTAS Technical Coordinator 

June 28, 2007
i

TABLE OF CONTENTS 

Section Page

1.0 INTRODUCTION 1-1 

 1.1 Overview 1-1 

 1.2 Data Summary Product FTP Site 1-2 

2.0 ANALYTICAL METHODS 2-1 

 2.1 The IMPROVE Monitoring Network 2-1 

 2.2 Back Trajectory Modeling 2-5 

3.0 VISIBILITY CONDITIONS 3-1 

 3.1 Comparison of Old and New IMPROVE Algorithm 3-1 

 3.2 RHR Data Completeness 3-7 

 3.2.1 Additional Data Substitutions 3-7 

 3.2.1.1 Carbon Substitutions 3-10 

 3.2.1.2 Donor Site Substitutions 3-10 

 3.2.1.3 Data Completeness Following Substitutions 3-11 

 3.3 Extinction Trends 3-15 

 3.4 Baseline (2000-2004) and Natural (2064) Visibility Conditions 3-17 

 3.5 Glidepaths 3-28 

 3.6 Attribution Analysis 3-35 

 3.6.1 Back Trajectory Maps 3-35 

 3.6.2 Residence Time Maps 3-35 

 3.6.3 Extinction-Weighted Residence Time 3-36 

 3.6.4 International Contributions 3-37 

 

APPENDIX A Nephelometer Comparisons A-1 

APPENDIX B Original and Revised Algorithm Comparisons by Site B-1 

APPENDIX C File Key for Substituted Data C-1 

APPENDIX D Data Substitution Results for Individual Sites D-1 

APPENDIX E Extinction Trend Charts (Mm-1, DV and SVR) E-1 

APPENDIX F WinHaze Images (Baseline, 2018 and Natural Conditions) F-1 
ii

APPENDIX G 2000-2004 Timelines G-1 

APPENDIX H DV Glidepaths H-1 

APPENDIX I Speciated Glidepaths I-1 

APPENDIX J Back Trajectory Maps J-1 

APPENDIX K Residence Time Maps K-1 

APPENDIX L International Attribution Plots L-1 
iii

LIST OF FIGURES 

Figure Page

2-1 Map of Class I Areas and IMPROVE Monitoring sites in and around VISTAS 2-1 

3-1 Comparison of Measured Light Scattering (Nephelometer) and Light Scattering 

 Calculated Using the Original (Old) and Revised (New) IMPROVE Algorithms 

 for the GRSM1 Site, 1993-2004 3-3 

3-2 Stacked bar chart comparing extinction calculated using the new IMPROVE 

 algorithm (left), the old IMPROVE algorithm (right), and measured light 

 scattering (grey line) in 2004 3-4 

3-3 Stacked bar chart comparing light extinction calculated using both the new (left) 

 and old (right) IMPROVE algorithm for the average of the 20% worst visibility 

 days in 2000-2004 at VISTAS and neighboring Class I areas 3-5 

3-4 Stacked bar chart comparing light extinction calculated using both the new (left) 

 and old (right) IMPROVE algorithm for the average of the 20% best visibility 

 days in 2000-2004 at VISTAS and neighboring Class I areas 3-5 

3-5 Stacked bar chart comparing 20% worst days in 2002 at the GRSM1 site 

 calculated using both the new (left) and old (right) IMPROVE algorithm 3-6 

3-6 Flow chart of data substitution methods used 3-9 

3-7 Comparison of OC and Estimated Organic H, and EC and OC at SHRO1, NC 

 Using Second Quarter Raw OC and Organic H Data, 2000-2004 3-10 

3-8 Comparison of Aerosol Species Mass Between SHRO1, NC (y-axis) and 

 GRSM1, TN (x-axis) 3-12 

3-9 2000-2004 annual bar charts indicating substituted data at the SAMA1 site 3-14 

3-10 10-year annual average extinction trends for sites in and around VISTAS 

 Blue triangles indicate decreasing trends and blank diamonds indicate 

 insignificant trends (p-value<0.20) 3-15 

3-11 10-year trend plots for a regional grouping of sites. Slopes and p-values are 

 indicated in the legend 3-16 

3-12 2000-2004 baseline conditions and 2018 projected conditions at the 

 GRSM1 site simulated using WinHaze Visual Air Quality Modeling program 3-19 
iv

LIST OF FIGURES (CONTINUED) 

Figure Page

3-13 2064 natural conditions at the GRSM1 site simulated using WinHaze Visual 

 Air Quality Modeling program 3-19 

3-14 Contributions to light extinction (Mm-1) for the average of the 20% worst 

 visibility days in 2000-2004 at VISTAS and neighboring Class I areas 3-22 

3-15 Contributions to light extinction (Mm-1) for the average of the 20% best 

 visibility days in 2000-2004 at VISTAS and neighboring Class I areas 3-22 

3-16 Contributions to mass (μg/m3

) for the average of the 20% worst visibility 

 days in 2000-2004 at VISTAS and neighboring Class I areas 3-23 

3-17 Contributions to mass (μg/m3

) for the average of the 20% best visibility 

 days in 2000-2004 at VISTAS and neighboring Class I areas 3-23 

3-18 Bar charts by year indicating speciation of all data collected at the GRSM1 site 3-24 

3-19 Bar charts by year indicating speciation of all data collected at the ROMA1 site 3-25 

3-20 Contributions to light extinction (Mm-1) for the 20% worst visibility days in 

 2000-2004 at the GRSM1 site 3-26 

3-21 Contributions to light extinction (Mm-1) for the 20% best visibility days in 

 2000-2004 at the GRSM1 site 3-26 

3-22 Contributions to light extinction (Mm-1) for the 20% worst visibility days in 

 2000-2004 at the ROMA1 site 3-27 

3-23 Contributions to light extinction (Mm-1) for the 20% best visibility days in 

 2000-2004 at the ROMA1 site 3-27 

3-24 DV Glidepaths for the GRSM1 site, calculated using both the original 

 IMPROVE algorithm using EPA default natural conditions (Default NB) 

 and the new IMPROVE algorithm using the revised estimate of natural 

 background conditions (NB2) 3-28 

3-25 DV Glidepaths for the ROMA1 site, calculated using both the original 

 IMPROVE algorithm using EPA default natural conditions (Default NB) 

 and the new IMPROVE algorithm using the revised estimate of natural 

 background conditions (NB2) 3-29 

3-26 Glidepath depicting total bext (Mm-1) for 20% worst days at the GRSM1 site 3-30 
v

LIST OF FIGURES (CONTINUED) 

Figure Page

3-27 Glidepath depicting Ammonium Sulfate for 20% worst days at the GRSM1 site 3-31 

3-28 Glidepath depicting Ammonium Nitrate for 20% worst days at the GRSM1 site 3-31 

3-29 Glidepath depicting Particulate Organic Material for 20% worst days at the 

 GRSM1 site 3-32 

3-30 Glidepath depicting total bext (Mm-1) for 20% worst days at the ROMA1 site 3-32 

3-31 Glidepath depicting Ammonium Sulfate for 20% worst days at the ROMA1 site 3-33 

3-32 Glidepath depicting Ammonium Nitrate for 20% worst days at the ROMA1 site 3-33 

3-33 Glidepath depicting Particulate Organic Material for 20% worst days at the 

 ROMA1 site 3-34 

3-34 Back trajectories for the 20% Worst extinction days at the Sipsey Wilderness 

Area IMPROVE monitoring site 3-35 

3-35 Residence times for 72-hour back trajectories with 100m end heights for 

 20% worst extinction days at the SIPS1 IMPROVE monitoring site 3-36 

3-36 Stacked bar charts of mass at the GRSM1 site depicting domestic and 

 international contributions to the 20% worst days in 2002 3-38 

3-37 Stacked bar charts for mass at the GRSM1 site depicting domestic and 

 international contributions to the 20% best days in 2002 3-38 

3-38 Stacked bar charts of mass at the ROMA1 site depicting domestic and 

 international contributions to the 20% worst days in 2002 3-39 

3-39 Stacked bar charts for mass at the ROMA1 site depicting domestic and 

 international contributions to the 20% best days in 2002 3-39 
vi

LIST OF TABLES 

Table Page

1-1 Summary of Data Products Available on ARS VISTAS FTP Site 1-3 

2-1 IMPROVE Aerosol Monitor Sites in and around the VISTAS Region 2-2 

2-2 IMPROVE Aerosol Elements and Species Used to Reconstruct Light Extinction 2-3 

2-3 Back Trajectory Model Parameters 2-6 

3-1 RHR Data Completeness From IMPROVE Data Sets for 2000-2004 Baseline 

Years for Sites in and Around the VISTAS Region 3-8 

3-2 Data Completeness Following Data Substitution 3-13 

3-3 Baseline (2000-2004) and Natural Background Visibility Conditions 20% Worst 

Visibility Days 3-20 

 

3-4 Baseline (2000-2004) and Natural Background Visibility Conditions 20% Best 

Visibility Days 3-21 
1-1 

1.0 INTRODUCTION 

The primary purpose of this document is to provide data, results and methods 

documentation for analysis performed by Air Resource Specialists, Inc. (ARS) in support of the 

Visibility Improvement State and Tribal Association of the Southeast (VISTAS). 

Any questions or comments regarding contents of this report should be addressed to: 

Cassie Archuleta 

or 

Joe Adlhoch 

Air Resource Specialists, Inc.

1901 Sharp Point Drive, Suite E 

Fort Collins, Colorado 80525 

Telephone: 970-484-7941 

Fax: 970-484-3423 

carchuleta@air-resource.com

jadlhoch@air-resource.com

1.1 OVERVIEW 

VISTAS is a collaborative effort of state governments, tribal governments, and various 

federal agencies established to initiate and coordinate activities associated with the management 

of regional haze, visibility and other air quality issues in the Southeastern United States. VISTAS 

is working to develop the technical basis for the Regional Haze Rule (RHR) promulgated in 

1999 by the Environmental Protection Agency (EPA) to address visibility at 156 designated 

Class I areas. Specific objectives of analyses presented in this report to support the VISTAS 

states are: 

• To describe current visibility conditions and particulate matter concentrations at Class 

I areas in the VISTAS region. 

• To investigate the relative contributions of regional and local sources of emissions to 

fine particle concentrations and visibility in Class I areas. 

• To understand the rate of improvement in visibility that would demonstrate a uniform 

rate of progress toward visibility improvement goals between current visibility 

conditions and natural background visibility conditions in 2064. 

States and tribes are required to establish “reasonable progress goals” for each Class I 

area to improve visibility on the 20% haziest days and to prevent visibility degradation on the 

20% clearest days. States are to evaluate their contributions to visibility impairment at Class I 

areas both within and outside the State and to develop long-term control strategies to reduce 

emissions of air pollutants that impair visibility. The national goal is to return visibility to natural 

background levels by 2064. Using the period 2000 to 2004 as the baseline period, States are to 

evaluate progress in improving visibility by 2018 and every 10 years thereafter. State 
1-2 

Implementation Plans for the first phase of the regional haze regulation are due in December 

2007. 

1.2 DATA SUMMARY PRODUCT FTP SITE 

 Methods descriptions and analysis results are provided in this document. Analysis results 

for VISTAS are also available on the ARS VISTAS project public ftp site (ftp://ftp.airresource.com/VISTAS). Table 1-1 lists products currently available on the ftp site. Products in 

this document specific to the Sipsey Wilderness Area are located as an Appendix (B1) to this 

Appendix B. 
1-3 

Table 1-1 

Summary of Data Products Available on ARS VISTAS FTP Site 

Sample Path Description 

[data files] ...Aerosol_dataset_VISTAS_2000-2004/ SAMA1_daily_budgets_sub_nia.xls Data sets including substituted data 

neighboring Class I Areas, old and algorithm. 

Average Extinction for 20% Worst Days

New IMPROVE Algorithm (nia)

2000-2004

0

50

100150200250300

SWAN1

ROMA1

OKEF1

EVER1

CHAS1

SAMA1

DOSO1

SHEN1

JARI1

LIGO1

SHRO1

GRSM1

COHU1

SIPS1

MACA1

BRIG1

BRET1

MING1

HEGL1

UPBU1

CACR1

VISTAS coastal VISTAS inland non-VISTAS

Extinction (Mm-1)

Sea SaltCMSoilECPOMAmm NO3Amm SO4Rayleigh

...Aerosol_stacked_bar_charts/ 

Average_BestWorstDays_2000-04/ 

VISTAS_nia_00-04_20070129.xls 

Regional stacked bar charts depictindays, extinction and mass, old and n

GRSM1

Baseline Extinction, nia

20% W > 142

0

100200300400

J-02 F-02 M-02 A-02 M-02 J-02 J-02 A-02 S-02 O-02 N-02 D-02

Extinction (Mm-1)

20% W > 140

0

100200300400

J-01 F-01 M-01 A-01 M-01 J-01 J-01 A-01 S-01 O-01 N-01 D-01

Extinction (Mm-1)

20% W > 139

0

100200300400

J-00 F-00 M-00 A-00 M-00 J-00 J-00 A-00 S-00 O-00 N-00 D-00

Extinction (Mm-1)

20% W > 139

0

100200300400

J-03 F-03 M-03 A-03 M-03 J-03 J-03 A-03 S-03 O-03 N-03 D-03

Extinction (Mm-1)

20% W > 130

0

100200300400

J-04 F-04 M-04 A-04 M-04 J-04 J-04 A-04 S-04 O-04 N-04 D-04

Extinction (Mm-1)

...Aerosol_stacked_bar_charts/ 

Timelines_AllDays_2000-04/ 

GRSM.pdf 

Stacked bar charts depicting extinctdays during the baseline years, 200sites requiring data substitution, twwhere the first page distinguishes suoriginal days. 

GRSM1

2000-2004 Reconstructed Extinction

New IMPROVE Algorithm

20% Worst Days

0

50

100150200250300350400450

3/8

5/6

5/17

6/3

6/10

6/28

7/1

7/8

7/22

8/5

8/16

8/19

8/23

8/26

10/15

10/18

10/21

10/24

10/27

11/2

5/1

5/7

6/9

6/12

6/21

6/27

7/3

7/12

7/18

7/21

7/24

7/30

8/2

8/5

8/8

8/11

8/14

8/17

8/23

8/26

9/7

9/13

9/19

11/18

2/25

5/2

5/8

5/17

6/1

6/13

6/19

6/22

7/1

7/7

7/10

7/16

7/22

7/31

8/3

8/6

8/9

8/12

8/15

8/21

9/5

9/8

9/11

9/17

3/16

4/27

5/24

5/27

6/5

6/11

6/26

6/29

7/5

7/17

7/20

7/26

8/7

8/10

8/16

8/19

8/22

8/25

8/28

9/3

9/6

9/9

9/12

9/21

1/10

2/21

6/8

6/11

6/20

6/26

6/29

7/8

7/17

7/20

7/29

8/4

8/10

8/16

8/19

8/25

8/28

8/31

9/3

9/12

9/15

9/30

10/3

10/30

2000 2001 2002 2003 2004

Extinction (Mm-1)

Sea SaltCMSoilLACPOMAmm NO3Amm SO4Rayleigh ...Aerosol_stacked_bar_charts/ 

Timelines_BestWorstDays_2000-04/ 

GRSM1_20bw_nia.xls 

Stacked bar charts that selectively sand worst days for 2000-2004 base
1-4 

GRSM1

Old and New IMPROVE Algorithm (oia/nia) Extinction by Species

20% Best Days (2002)

0

102030405060

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

1/8 1/11 1/14 1/23 2/1 2/7 2/19 2/28 3/3 3/9 3/30 4/26 7/13 9/14 9/26 10/26 10/29 11/4 11/16 11/22 12/7 12/13 12/22 Avg.

Extinction (Mm-1)

Rayleigh Amm SO4 Amm NO3 POM LAC Soil CM Sea Salt

...Aerosol_stacked_bar_charts/ 

Timelines_nia_oia_comparison_2002/ 

GRSM1_nia_oia.xls 

Regional and site specific stacked bextinction calculations using the nealgorithm are presented side by side

All Days

y = 0.93x + 9.16

R2 = 0.87

0

50

100150200250300

0 50 100 150 200 250 300

24-hr Nephelometer bsp (Mm-1)

24-hr Aerosol bsp (Mm-1)

Q4

y = 1.10x + 1.49

R2 = 0.96

0

50

100150200250300

0 50 100 150 200 250 300

Q1

y = 0.77x + 13.88

R2 = 0.48

0

50

100150200250300

0 50 100 150 200 250 300

Q2

y = 0.93x + 12.17

R2 = 0.81

0

50

100150200250300

0 50 100 150 200 250 300

Q3

y = 0.86x + 14.28

R2 = 0.82

0

50

100150200250300

0 50 100 150 200 250 300

-100

-75-50-25

0

255075

100

2000

2001

2002

2003

2004

Difference (Mm-1) 

(Aer. bsp - Neph. bsp

)

Aerosol Scattering vs. Nephelometer Scattering

Using New IMPROVE Algorithm (nia) and Daily f(RH)

GRSM, 2000 - 2004

...Nephelometer_Aeosol_Comparisons/ 

GRSM_neph.xls 

Charts comparing collocated IMRPand IMPROVE aerosol samplers, oIMPROVE algorithm. 

Glide Path to Natural Conditions (2004-2064)

(5-yr Rolling Average for 20% Haziest Days - New IMPROVE equation and NB II )

05

101520253035

1986-1990

1988-1992

1990-1994

1992-1996

1994-1998

1996-2000

1998-2002

2000-2004

2006

2008

2010

2012

2014

2016

2018

2020

2022

2024

2026

2028

2030

2032

2034

2036

2038

2040

2042

2044

2046

2048

2050

2052

2054

2056

2058

2060

2062

2064

Deciviews (dv)

Default Glide Path GRSM New Glide Path GRSMDefault 5-yr Rolling Avg GRSM New 5-yr Rolling Avg GRSMAnnual g90 - Old Annual g90 - New

 Base old Base new Default NB NB2 Great Smokey Mtns 28.8 30.3 11.4 dv 11.2 dv

...Glidepaths/ 

Revised Glide Path new IMPROVE 

equation_Reynolds.ppt 

Deviview Glidepaths (developed by 

species depicting baseline conditionnatural conditions for both the new 

GRSM1

Total Extinction

Glide Slope for 20% Worst Days

0

50

100150200250

2000

2002

2004

2018

2064

Extinction (Mm-1

)

Total BextBaselineGlide Slope2018 Base GNatural Conditions ...Glidepaths/ 

Speciated_Glidepaths/ 

Glideslopes_GRSM1.xls 

Glidepaths by species depicting basmodeled predictions and estimated 
1-5 

10 Year Temporal Trends

All Days

151719212325

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

DV

OKEF1 m = -0.13, p = 0.05ROMA1 m = -0.24, p = 0.06SWAN1 N/A (< 5 years)

10 Year Temporal Trends

20% Best Days

101214161820

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

DV

OKEF1 m = -0.05, p = 0.43ROMA1 m = -0.23, p = 0.02SWAN1 N/A (< 5 years)

10 Year Temporal Trends

20% Worst Days

202224262830

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

DV

OKEF1 m = -0.17, p = 0.01ROMA1 m = -0.28, p = 0.24SWAN1 N/A (< 5 years)

...IMPROVE_Trend_Charts/ 

Trends_DV.xls 

10 Year temporal trends for sites grincludes Standard Visual Range (SVand Mm-1. 

GRSM1

Domestic and International Aerosol Mass by Species

20% Worst Days (2002)

05

101520253035

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

2/25 5/2 5/8 5/17 6/1 6/13 6/19 6/22 7/1 7/7 7/10 7/16 7/22 7/31 8/3 8/6 8/9 8/12 8/15 8/21 9/5 9/8 9/11 9/17

Mass (μg/m

3

)

Amm SO4 Amm NO3 POM LAC Soil CM Sea Salt

...International_Attribution/ 

International_Attribution_mass_worst.xls 

Comparison of domestic and internmass on 20% best and worst days, 2

...Back_Trajectory_Analyis/ 

IMPROVE_ResidenceTimeMaps_2000-04_nia/ 

GRSM_2002_20high.bmp 

Back trajectory maps for 20% wors

GRSM1

2000-04

20% Worst Monitored Days

100m Residence Times (%)

< 0.01

0.01 - 0.020.02 - 0.040.04 - 0.080.08 - 0.160.16 - 0.32> 0.32 ...Back_Trajectory_Analyis/ 

IMPROVE_ResidenceTimeMaps_2000-04_nia/ 

GRSM_2002_20high.bmp 

Residence time maps for 20% wors
2-1 

2.0 ANALYTICAL METHODS 

2.1 THE IMPROVE MONITORING NETWORK 

The Interagency Monitoring of Protected Visual Environments (IMPROVE) monitoring 

program collects speciated PM2.5, and PM2.5 and PM10 total mass. IMPROVE is a nation-wide 

network which began in 1988 and expanded significantly in 2000 in response to the EPA’s 

Regional Haze Rule (RHR). It is data from this program that states and tribes must use to track 

progress under the RHR. 

The IMPROVE network collects 24-hour integrated filter samples every third day 

(Wednesdays and Saturdays prior to 2001). Each monitoring location operates four samplers 

(designated Module A through D) designed to quantify PM2.5 and PM10 mass, and PM2.5 mass 

constituents, including numerous trace elements, ions, Elemental Carbon (EC), and Organic 

Carbon (OC). 

 A map of the IMPROVE sites in and around the VISTAS region and their proximity to 

Class I areas is presented in Figure 2-1. A listing of IMPROVE sites, locations, and operational 

start dates is presented in Table 2-1. The list also includes start (and end) dates for collocated 

nephelometers, which are continuous monitoring instruments that make direct measurements of 

light scattering due to particles. 

IMPROVE Site

Federal Tribal

Class I Areas

BRET1

BRIG1

CACR1

CADI1

CHAS1

COHU1

DOSO1

EVER1

GRSM1

HEGL1

JARI1

LIGO1

MACA1

MING1

OKEF1

ROMA1

SAMA1

SHEN1

SHRO1

SIPS1

SWAN1

UPBU1

Figure 2-1. Map of Class I Areas and IMPROVE Monitoring sites in and around VISTAS. 
2-2 

Table 2-1 

IMPROVE Aerosol Monitor Sites in and around the VISTAS Region 

Region State Class I Area (Site) Start 

Date Latitude Longitude 

Nephelometer

Start Date 

( - End Date) 

AL Sipsey Wilderness (SIPS1) 3/92 34.34 -87.34 -- 

Chassahowitzka NWR 

(CHAS1) 4/93 28.75 -82.55 -- 

Everglades NP (EVER1) 9/88 25.39 -80.68 -- FL 

St. Marks (SAMA1) 6/00 30.09 -84.16 -- 

Cohutta (COHU1) 5/00 34.79 -84.63 1/04 – 3/07 GA 

Okefenokee NWR (OKEF1) 9/91 30.74 -82.13 1/93 – 6/97 

KY Mammoth Cave NP 

(MACA1) 9/91 37.13 -86.15 1/93 - current 

Linville Gorge (LIGO1) 3/00 35.97 -81.93 -- 

Shining Rock Wilderness 

(SHRO1) NC 7/94 35.39 -82.77 4/94 – 9/99 

Swanquarter (SWAN1) 6/00 35.45 -76.21 -- 

SC Cape Romain NWR 

(ROMA1) 9/94 32.94 -79.66 1/04 - current 

TN Great Smoky Mountains NP 

(GRSM1) 3/88 35.63 -83.94 4/93 - current 

James River Face Wilderness 

(JARI1) 6/00 37.63 -79.51 10/00 – 12/03 VA 

Shenandoah NP (SHEN1) 3/88 38.52 -78.43 1/00 - current 

VISTAS 

WV Dolly Sods Wilderness 

(DOSO1) 9/91 39.11 -79.43 10/93 – 12/97 

Caney Creek (CACR1) 6/00 34.45 -94.14 1/93 – 12/97 

9/04 - current AR 

Upper Buffalo Wilderness 

(UPBU1) 12/91 35.83 -93.20 -- 

LA Breton (BRET1) 6/00 29.12 -89.21 -- 

Hercules-Glades (HEGL1) 3/01 36.61 -92.92 -- MO 

Mingo (MING1) 5/00 36.97 -90.14 -- 

NonVISTAS 

NJ Brigantine NWR (BRIG1) 9/91 39.47 -74.45 -- 

The IMPROVE program has developed methods for estimating light extinction from 

speciated aerosol and relative humidity data. The three most common metrics used to describe 

visibility impairment are: 

• Extinction (bext) – Extinction is a measure of the fraction of light lost per unit length 

along a sight path due to scattering and absorption by gases and particles, expressed 

in inverse Megameters (Mm-1). This metric is useful for representing the contribution 

of each aerosol species to visibility impairment and can be practically thought of as 

the units of light lost in a million meter distance. 

• Visual Range (VR) – Visual range is the greatest distance a large black object can be 

seen on the horizon, expressed in kilometers (km) or miles (mi). 
2-3 

• Deciview (dv) – The deciview index was designed to be linear with respect to human 

perception of visibility. A one deciview change is approximately equivalent to a 10% 

change in extinction, whether visibility is good or poor. A one deciview change in 

visibility is generally considered to be the minimum change the average person can 

detect. This is the metric used for tracking regional haze in the RHR. 

The IMPROVE network estimates light extinction based upon the measured mass of 

various contributing aerosol species. EPA’s 2003 guidance 

(http://vista.cira.colostate.edu/improve/Publications/GuidanceDocs/guidancedocs.htm) for 

calculating light extinction is based on the original protocol defined by the IMPROVE program

in 1988. In December 2005, the IMPROVE Steering Committee voted to adopt a revised 

algorithm for use by IMPROVE as an alternative to the original approach. 

The elements and species measured by the IMPROVE network relevant for reconstructed 

light extinction are listed in Table 2-2. 

Table 2-2 

IMPROVE 

Aerosol Elements and Species 

Used to Reconstruct Light Extinction 

Species Composite Mass Algorithm * Comment 

Ammonium Sulfate 

[(NH4)2SO4] 

4.125× [S] 

-or1.375× [SO4] 

[S] is derived from the Teflon 

filter (A module). 

[SO4] is derived from the nylon 

filter (B module). 

Ammonium Nitrate 

[(NH4)NO3] 1.29× [NO3] [NO3] is derived from the nylon filter (B module). 

Particulate Organic Matter 

[POM] 

1.4× [OC] (original algorithm) 

1.8× [OC] (revised algorithm) 

[OC] is derived from the quartz 

filter (C module). 

Elemental Carbon [EC] 1.0[EC] [EC] is derived from the quartz 

filter (C module). 

Soil 

2.20× [Al] + 2.49× [Si] + 

1.63× [Ca] 

+ 2.42× [Fe] + 1.94× [Ti] 

Soil elements are derived from 

the Teflon filter (A module). 

Coarse Mass [CM] [PM10] - [PM2.5] 

[PM10] is derived from the 

Teflon filter (D module). 

[PM2.5] is derived from the 

Teflon filter (A module). 

Sea Salt (revised algorithm 

only) 

1.8× [Chl](Chloride) 

-or1.8×[Cl](Chlorine) 

[Chl] and [Cl] are derived from 

the Teflon filter (A module). 

[Cl] only used if {Chl] is below 

the detection limit. 
2-4 

The original algorithm used by IMPROVE/Regional Haze guidance to reconstruct 

extinction (bext) is: 

[ ]

[ ]

[ ]

[ ]

[ ]

[ ]

Rayleigh (10) Scattering

CM6.0

Soil Fine1

EC10

POM4

f(RH)3 Nitrate Amm.

f(RH)3b Sulfate Amm.

+

×+

×+

×+

×+

××+

ext ××≈

Reconstructed bext is expressed in Mm-1, dry extinction efficiencies (leading numbers) are 

expressed as m2

/g and species mass concentrations are expressed in μg/m3. The f(RH) factor is a 

water growth term that is a function of climatologically representative monthly average relative 

humidity (RH). The f(RH) factors are designed to account for the absorption of water by sulfate 

and nitrate species. In the original IMPROVE algorithm, a constant value of 10 Mm-1 is also 

added to account for extinction due to scattering from molecules in a clean atmosphere (Rayleigh 

conditions). 

The original IMPROVE algorithm produces reasonable estimates of light scattering over 

a broad range of conditions, but it tends to underestimate the highest extinction values and 

overestimate the lowest extinction values. The revised algorithm for estimating light extinction 

recommended for use by the IMPROVE steering committee is: 

[ ] [ ]

[ ][ ]

[ ][ ]

[ ]

[ ]

[ ]

[ ]

[ ]

Rayleigh Specific) (Site Scattering

(ppb)NO33.0

CM6.0

Salt Sea(RH)f7.1

Soil1

EC10

POM Large1.6POM Small8.2

(RH)f4.2 (RH)f1.5Nitrate Amm. Small Nitrate Amm. Large

(RH)f2.2b (RH)f8.4Sulfate Amm. Small Sulfate Amm. Large

2

ss

s L

s L

+

×+

×+

××+

×+

×+

×+ ×+

××+ ××+

ext ××≈ + × ×

The revised algorithm splits ammonium sulfate, ammonium nitrate, and POM 

concentrations into small and large size fractions as follows: 
2-5 

[ ]

[ ] [ ] [ ]

[ ] [ ][ ]

[ ] [ ][ ] μg/m20TotalFor Large, Total

Small Total Large

Total

20

Total Large

μg/m20TotalFor 

3

3

≥ =

⎪

⎪

⎩

⎪

⎪

⎨

⎧

−=

×=

<

As noted in table 2-2, the organic mass concentration is 1.8 times the organic carbon 

mass concentration in the revised algorithm, where it was calculated as 1.4 times carbon mass in 

the original algorithm. The new algorithm contains three distinct water growth factors, 

designated fS(RH), fL(RH), and fSS(RH) for water absorption due small and large sulfate and 

nitrate fractions, and for sea salt, respectively. New terms have also been added for sea salt and 

for absorption by gaseous NO2. NO2 is not available at most IMPROVE sites, and is not 

included in analysis presented here. 

IMPROVE data are available on the IMPROVE Web site 

(http://vista.cira.colostate.edu/improve/) and the Visibility Information Exchange Web System 

(VIEWS) Web site (http://vista.cira.colostate.edu/views/). The starting data sets for analysis 

presented here are the IMPROVE RHR1 data set (updated 11/05), and the IMPROVE RHR2 

data set (updated 3/06), where RHR1 is the IMPROVE designation indicating that extinction was 

calculated using the original/old IMPROVE algorithm, and RHR2 indicates that extinction was 

calculated using the revised/new IMPROVE algorithm. 

VISTAS chose to use the new IMPROVE algorithm because it takes into account the 

most recent review of the science and because it is recommended by the IMPROVE Steering 

Committee. Comparisons between the old and new algorithm are presented in Section 3.1, but 

most analyses presented here use the revised algorithm. 

2.2 BACK TRAJECTORY MODELING 

Back trajectory analyses were undertaken to identify the geographic source areas most 

likely to contribute to visibility impairment on the 20% worst visibility days at the Class I areas. 

Back trajectory analyses use interpolated measured or modeled meteorological fields to estimate 

the most likely central path over geographical areas that provided air to a receptor at a given 

time. The method essentially follows a parcel of air backward in hourly steps for a specified 

length of time. Back trajectories account for the impact of wind direction and wind speed on 

delivery of emissions to the receptor, but do not account for chemical transformation, dispersion 

and deposition of emissions. 

 Trajectories were generated using the Hybrid-Single Particle Lagrangian Integrated 

Trajectory (HYSPLIT) model developed by the National Oceanic and Atmospheric 

Administration’s (NOAA) Air Resources Laboratory (ARL). HYSPLIT uses archived 3-

dimensional meteorological fields generated from observations and short-term forecasts. 

HYSPLIT can be run to generate forward or backward trajectories using several available 

meteorological data archives. 
2-6 

 The data archives used in this analysis were the National Weather Service's National 

Centers for Environmental Prediction ETA Data Assimilation System (EDAS). The EDAS 

fields are archived by the ARL across the continental U.S., including a buffer zone, at a 

horizontal resolution of 80 km before 2004, and at a horizontal resolution of 40 km starting in 

2004. Detailed information regarding the trajectory model and these data sets can be found on 

NOAA’s Web site (http://www.arl.noaa.gov/ready/hysplit4.html). 

 The major model parameters selected for these analyses are presented in Table 2-3. The 

choice of these parameters affects the trajectories generated and the final attribution analyses 

based on them. In particular, trajectories tend to become increasingly uncertain the further back 

in time they are used. Vertical motion in the model is sometimes best represented by following 

actual vertical motion measurements (represented by model data), surfaces of constant entropy, 

or surfaces of constant pressure, depending on the meteorological conditions at a given location 

and time. The impact of receptor height (or end height) on an individual trajectory is also 

important. Low-ending trajectories represent air parcels nearer to ground level and high-ending 

trajectories may better represent boundary layer flow above the local terrain. Specific back 

trajectory analyses performed by ARS for VISTAS are described in Section 3.6.1. 

Table 2-3 

Back Trajectory Model Parameters 

Model Parameter: Value 

Trajectory duration 72 hours backwards in time 

Top of model domain 14,000 meters 

Vertical motion option used model data 

Meteorological Field EDAS 

End Times 0600, 1200, 1800 and 2400 EST 

End Heights 100 and 500 m 
3-1 

3.0 VISIBILITY CONDITIONS 

 The RHR sets a 60 year timeline for states to improve visibility within Federal Class I 

Areas (CIAs) from “baseline” (2000-2004) levels to “natural conditions” by 2064. The following 

sections describe some of the major components for tracking reasonable progress at each CIA in 

the VISTAS region. Analyses include comparisons of the old and new IMPROVE algorithms, 

determination of baseline (2000-2004) conditions, determination of the glide slope between 

baseline and natural conditions, and determination of geographic source areas using back 

trajectory analysis. 

3.1 COMPARISON OF OLD AND NEW IMPROVE ALGORITHMS 

One of the most compelling reasons for developing the revised IMPROVE algorithm was 

to reduce the biases in light scattering estimates at the high and low extremes, when compared to 

nephelometer measurements. Nephelometers make a direct measurement of light scattering due 

to particles and are collocated with the IMPROVE aerosol samplers at some IMPROVE sites. 

These measurements can be compared to light scattering derived from the particulate data. 

Figure 3-1 presents scatter plots for the GRSM1 site comparing measured light scattering 

(nephelometer) and reconstructed light scattering calculated using the revised (new) and original 

(old) IMPROVE algorithms. A stacked bar chart for the most recent year of comparable record, 

in this case 2004 at the GRSM1 site, is included in Figure 3-2. Nephelometers make continuous 

hourly measurements of light scattering and RH. For these comparisons hourly nephelometer 

scattering is averaged into daily values, and aerosol light scattering is calculated using daily 

f(RH) based upon measured RH, as opposed to the IMPROVE method of using climatologically 

representative monthly average RH. Also light absorbing carbon (LAC) is not included in the 

reconstructed extinction because nephelometers measure atmospheric scattering but do not 

measure atmospheric absorption. For reconstructed extinction, coarse mass scattering was also 

scaled by a factor of 0.5 to account for the tendency of a nephelometer to underestimate coarse 

mass scattering. 

The GRSM1 site has one of the longest periods of nephelometer data in the VISTAS 

region, and has been in operation since 1993. In general, the original algorithm tends to under 

estimate light scattering on those days with high scattering and over estimate scattering on days 

with low values. The new algorithm is more accurate as it does not have the same biases, but the 

data is less precise, with more spread in the data and generally slightly lower correlation.

Figures 3-3 and 3-4 present comparisons of the average 20% worst and best days in the 

2000-2004 baseline period at VISTAS and neighboring sites calculated using both the revised 

and original IMPROVE algorithm. For the worst days, extinction calculations using the new 

algorithm are higher than extinction calculations using the old algorithm Difference in total 

extinction ranges between 8 Mm-1 (BRET1) and 35 Mm-1 (MACA1). For the best days, the 

calculated extinction values were within 3 Mm-1 of each other. 

Figure 3-5 presents a comparison of the 20% worst days in 2002 at the GRSM1 site 
3-2 

calculated using both the new and old IMPROVE algorithm. The 20% best and worst days are 

very similar using either the original and revised algorithms. In the case of GRSM1, 9/23 was a 

worst day in 2002 using the old algorithm, but this one day is traded for 7/22 when extinction is 

calculated using the new algorithm. Other days change in magnitude, but the same days are still 

counted among the 20% worst days. Plots comparing extinction calculated using the old and 

new IMPROVE algorithms for 20% best and 20% worst days in 2002 for the Sipsey Wilderness 

area are available in Appendix B1. 
3-3 

Old Algorithm

y = 0.71x + 14.70

R2 = 0.89

0

50

100150200250300

0 50 100 150 200 250 300

24-hr Nephelometer bsp (Mm-1)

24-hr Aerosol b sp (Mm-1)

New Algorithm

y = 0.98x + 5.97

R2 = 0.87

0

50

100150200250300

0 50 100 150 200 

24-hr Nephelometer bsp (

24-hr Aerosol bsp (Mm-1)

Figure 3-1. Comparison of measured light scattering (nephelometer) and light scattering calculated using the originaIMPROVE algorithms for the GRSM1 site, 1993-2004. 
3-4 

0

50

100150200250

1/1

1/4

1/7

1/13

1/16

1/19

1/22

1/28

1/31

2/9

2/21

2/24

3/1

3/4

3/7

3/10

3/13

3/19

3/22

3/25

3/28

4/3

4/6

4/9

4/15

4/18

4/21

4/24

4/27

4/30

5/9

5/12

5/15

5/21

5/24

5/27

5/30

6/2

6/5

6/11

6/14

6/17

6/20

6/29

7/5

7/8

7/11

7/23

7/29

8/1

8/4

8/7

8/10

8/16

8/19

8/25

8/28

9/3

9/6

9/12

9/15

9/18

9/21

9/24

9/27

10/6

10/9

10/15

10/18

10/27

Extinction (Mm-1)

Amm SO4 Amm NO3 POM Soil CM Sea Salt 

Figure 3-2. Stacked bar chart comparing extinction calculated using the new IMPROVE algorithm(left), the old IMP(right), and measured light scattering (grey line) in 2004 at GRSM1. 
3-5

0

50

100

150

200

250

300

SWAN1ROMA1

OKEF1

EVER1

CHAS1

SAMA1

DOSO1

SHEN1

JARI1

LIGO1

SHRO1

GRSM1

COHU1

SIPS1

MACA1

BRIG1

BRET1

MING1

HEGL1

UPBU1

CACR1

VISTAS coastal VISTAS inland non-VISTAS

Extinction (Mm-1)

CM

Soil

EC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-3. Stacked bar chart comparing light extinction calculated using both the new (left) and 

old (right) IMPROVE algorithm for the average of the 20% worst visibility days in 2000-2004 at 

VISTAS and neighboring Class I areas. 

 

0

10

20

30

40

50

60

SWAN1ROMA1

OKEF1

EVER1

CHAS1

SAMA1

DOSO1

SHEN1

JARI1

LIGO1

SHRO1

GRSM1

COHU1

SIPS1

MACA1

BRIG1

BRET1

MING1

HEGL1

UPBU1

CACR1

VISTAS coastal VISTAS inland non-VISTAS

Extinction (Mm-1)

CM

Soil

EC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-4. Stacked bar chart comparing light extinction calculated using both the new (left) and 

old (right) IMPROVE algorithm for the average of the 20% best visibility days in 2000-2004 at 

VISTAS and neighboring Class I areas.
3-6 

GRSM1

Old and New IMPROVE Algorithm (oia/nia) Extinction by Species

20% Worst Days (2002)

0

50

100150200250300350400

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

oia

nia

2/25 5/2 5/8 5/17 6/1 6/13 6/19 6/22 7/1 7/7 7/10 7/16 7/22 7/31 8/3 8/6 8/9 8/12 8/15 8/21 9/5 

Extinction (Mm-1)

Rayleigh Amm SO4 Amm NO3 POM LAC Soil CM Sea S

Figure 3-5. Stacked bar chart comparing 20% worst days in 2002 at the GRSM1 site calculated using both the new (IMPROVE algorithm. 
3- 7 

3.2 RHR DATA COMPLETENESS 

Once extinction has been calculated for each species at a monitoring site, the RHR 

provides some provisions for handling missing data. Treatment of missing data is necessary 

because the RHR requires that the baseline period average (2000-2004) contain at least 3 

complete years of data. RHR guidance requirements for IMPROVE aerosol data completeness 

include the following conditions: 

• Individual samples must contain all species required for the calculation of light 

extinction (sulfate, nitrate, organic carbon, elemental carbon, soil, coarse mass, and, 

for the new IMPROVE algorithm, chloride or chlorine) 

• Individual seasons must contain at least 50% of all possible daily samples 

• Individual years must contain at least 75% of all possible daily samples 

• Individual years must not contain more than 10 consecutive missing daily samples 

• The baseline period (2000-2004) must contain at least 3 complete years of data 

 RHR guidelines provide provisions to fill in missing data under specific circumstances. 

There are currently two methods routinely used in preparing the RHR data set to substitute data 

for missing samples: 

• The use of a surrogate in the data set: 

− Total sulfate is generally determined as 3 times the sulfur measured on the A 

module filter. If sulfur is missing, the sulfur measurement from the B module 

filter is used to calculate sulfate. 

− For the new IMPROVE algorithm, sea salt is calculated from chloride measured 

on the B module filter. If chloride is missing or below detection limit, the 

chlorine measurement from the A module filter is used to calculate sea salt. 

• The application of “patching” missing data described by the RHR guidance: 

− Missing samples not substituted using a surrogate as described above can be 

patched, or replaced, by a seasonal average if the patching exercise passes a series 

of tests outlined in the guidance document. 

Once these methods have been applied to the data, the resulting complete years are 

eligible for use in calculation of baseline conditions and tracking progress under the RHR. 

Further details can be found in the RHR guidance document for tracking progress 

(http://www.epa.gov/ttn/oarpg/t1/memoranda/rh_tpurhr_gd.pdf). 
3- 8 

3.2.1 Additional Data Substitutions

Table 3-1 summarizes data completeness for the 2000-2004 baseline years for IMPROVE 

sites in and around the VISTAS region. After routine RHR data substitutions, five IMPROVE 

monitoring sites in the VISTAS states (CHAS1, SAMA1, COHU1, SHRO1 and SWAN1), and 

two regional sites (BRET1 and MING1) did not achieve RHR data completeness requirements. 

VISTAS performed additional data substitutions for these sites. Additional substitutions 

included estimating missing species from other on-site measurements and appropriately scaling 

data collected at selected donor sites which had favorable long-term comparisons. Additional 

substitutions were also made for the CHAS1 site, because it is the only VISTAS site that met 

RHR baseline period requirements, but still had 2003 and 2004 as incomplete years. Additional 

substitutions for the MING1 site were performed separately by UCDavis. Details of data 

substitutions performed by ARS for VISTAS are outlined below. 

Table 3-1 

RHR Data Completeness From IMPROVE Data Sets for 2000-2004 Baseline Years 

for Sites in and Around the VISTAS Region 

Region State Site 2000 2001 2002 2003 2004 2000-04 

Count 

AL SIPS1 0 1 1 1 1 4 

CHAS1 1 1 1 0 0 3 

FL EVER1 0 1 1 1 1 4 

SAMA1* 0 0 1 1 0 2 

COHU1* 0 0 1 0 1 2 GA OKEF1 1 1 1 1 1 5 

KY MACA1 1 1 1 1 1 5 

LIGO1 0 1 1 1 1 4 

NC SHRO1* 0 0 0 1 1 2 

SWAN1* 0 1 1 0 0 2 

SC ROMA1 1 1 1 1 1 5 

TN GRSM1 1 1 1 1 1 5 

JARI1 0 1 1 1 1 4 VA SHEN1 1 1 1 1 1 5 

VISTAS 

WV DOSO1 1 1 1 1 1 5 

CACR1 0 0 1 1 1 3 AR 

UPBU1 1 1 1 1 1 5 

LA BRET1* 0 0 0 0 0 0 

HEGL1 0 0 1 1 1 3 MO MING1* 0 1 0 0 0 1 

NonVISTAS 

NJ BRIG1 1 1 1 1 1 5 

* Indicates site has <3 complete years for RHR baseline calculations 

0 indicates an incomplete year with no substitutions made 

1 indicates a complete RHR year 
3- 9 

 Figure 3-6 presents a flow chart of the VISTAS data substitution methods, and details for 

these methods are described below. The starting data set was the RHR2 IMPROVE data using 

the new IMPROVE algorithm. This data set includes the routine surrogate and patched data 

substitutions allowed by RHR guidance. Note that only years deemed incomplete under RHR 

guidance were candidates for additional data substitutions. Years deemed complete were not 

changed, even thought there may have been missing individual samples during those years. 

Start with IMPROVE RHR dataset

(daily_budgets_nia_20060306.csv)

3 complete years

(including 2003/2004)?

Check year

for completeness

Substitute OC based on Organic H,

and EC based on OC

(use raw data linear regression statistics)

For each missing year,

check each incomplete day

Final Data

Set

Substitute missing species from

a nearby donor site

(use raw data linear regression statistics)

yes

Check year

for completeness

no

yes

yes

no

no

Year remains incomplete

Figure 3-6. Flow chart of data substitution methods used. 
3- 10

3.2.1.1 Carbon Substitutions 

 The first substitution method relied on using a surrogate for carbon mass measurements 

when the C module data was not available. Hydrogen (H) is measured on the A module filter, 

and is assumed to be primarily associated with organic carbon and inorganic compounds such as 

ammonium sulfate. Organic carbon (OC) can be estimated using the historical comparison 

between estimated organic H and OC. Organic H is estimated by subtracting the portion of H 

that is assumed to be associated with the inorganic compounds from the total H (Org_H = H – 

0.24*S). Once OC has been estimated using this method, elemental carbon (EC) mass is 

determined using long-term comparisons between OC and EC at the site. 

Figure 3-7 presents sample comparisons for data collected at the Shining Rock 

Wilderness area (SHRO1) site in North Carolina during the second quarter between 2000-2004 

for OC vs. organic H, and EC vs. OC. Statistics were calculated and applied quarterly to account 

for seasonal variations. 

Q2

r2 = 0.55

0

2

4

6

8

10

0.0 0.2 0.4 0.6 0.8 1.0

org_H (μg/m3)

OC (μg/m3)

Q2

r2 = 0.65

0.0

0.2

0.4

0.6

0.8

1.0

0 2 4 6 8 10

OC (μg/m3)

EC (μg/m3)

Figure 3-7. Comparison of OC and Estimated Organic H, and EC and OC at SHRO1, NC 

Using Second Quarter Raw OC and Organic H Data, 2000-2004 

3.2.1.2 Donor Site Substitutions 

In VISTAS, the carbon data substitution methods were not sufficient to complete the 

required years. A second method involved identification of another nearby IMPROVE site (or, 

in the case of BRET1, a nearby SEARCH site) which had the most favorable long-term 

comparisons and similar regional characteristics to be used as a donor site. 

Figure 3-8 presents a sample inter-site mass comparison by species for data collected 

during the second quarter, 2000-2004, between the Shining Rock Wilderness area (SHRO1) site 

and the Great Smoky Mountains National Park (GRSM1) site in Tennessee. Component specific 

correlations were calculated and applied quarterly. Note that only species missing in a given 

sample were substituted based on donor site data. Species collected at the site were not replaced 

with data from a donor site. 
3- 11

For BRET1 substitutions, chloride/chlorine was not available from the Gulfport, MS 

(GFP) SEARCH site. In this case, sea salt could not be calculated from the GFP data, so 

seasonal averages of sea salt from the BRET1 site were used as substitutes. Missing coarse mass 

at the SEARCH site was also substituted using SEARCH methodologies prior to use as a donor 

for the BRET1 site. 

3.2.1.3 Data Completeness Following Substitutions 

Table 3-2 indicates the years that required some degree of substitution, where a 2 

indicates a substituted year, a 1 indicates the year was already complete under RHR guidelines, 

and dashes indicate the year did not meet RHR guidelines and no additional substitutions were 

made. The table also lists sites that were selected as donor sites. The minimum data requirement 

of 3 complete years was met for each site, and additional substitutions beyond these 

requirements were made with the exception of the year 2000, which was not substituted at any 

site either because monitoring started in late 2000, or the additional substitutions did not fill in 

enough data to make a complete RHR year. 

Figure 3-9 presents bar charts by year for the SAMA1 site depicting substituted data. 

The original RHR data is indicated in blue, and substituted data by species in specific colors. 

Substituted days are also indicated by a black bar underneath the day. The red line indicates the 

threshold above which days are counted in the 20% worst days for that year. A red line is not 

included for any year that was incomplete and not substituted. In the case of SAMA1, 

substitutions were made for the years 2001 and 2004. In 2001, data from the CHAS1 site was 

scaled and substituted for about 33% of monitored days, mostly for mid-April through May, and 

August through mid-September. In 2004, about 34% of the days have some degree of 

substitution, but most of these days only required the OC/EC substitutions from the organic H 

collected at the SAMA1 site. The substituted days are mostly between June and November, but 

only a very small portion of extinction for these days was substituted with most data being 

salvaged from the samples actually collected at the site. 

The substituted data are available on the VIEWS website, 

http://vista.cira.colostate.edu/views/web/documents/substitutedata.aspx, and a key for the 

substituted data files is included in Appendix C. Additional charts and tables for all VISTAS 

substituted sites are included in Appendix D. 
3- 12

Q2

r2 = 0.68

0

10

20

30

40

50

0 10 20 30 40 50

AmmSO4 (μg/m3)

AmmSO4 (μg/m3)

Q2

r2 = 0.62

0

1

2

3

4

5

012345

AmmNO3 (μg/m3)

AmmNO3 (μg/m3)

Q2

r2 = 0.6

0

2

4

6

8

10

0 2 4 6 8 10

OC (μg/m3)

OC (μg/m3)

Q2

r2 = 0.49

0.0

0.5

1.0

1.5

2.0

2.5

0.0 0.5 1.0 1.5 2.0 2.5

LAC (μg/m3)

LAC (μg/m3)

Q2

r2 = 0.8

0

1

2

3

4

5

012345

Soil (μg/m3)

Soil (μg/m3)

Q2

r2 = 0.73

0

5

10

15

20

0 5 10 15 20

CM (μg/m3)

CM (μg/m3)

 Figure 3-8. Comparison of Aerosol Species Mass Between SHRO1, NC (y-axis) and GRSM1, 

TN (x-axis).
3- 13

 

Table 3-2 

Data Completeness Following Data Substitution 

State Site Donor 

Site 2000 2001 2002 2003 2004 2000-04 Count 

CHAS1 SAMA1 1 1 1 2 2 5 FL SAMA1* CHAS1 -- 2 1 1 2 4 

GA COHU1* GRSM1 -- 2 1 2 1 4 

SHRO1* GRSM1 -- 2 2 1 1 4 NC SWAN1* ROMA1 -- 1 1 2 2 4 

LA BRET1* GFP -- 2 2 2 2 4 

-- indicates an incomplete year with no substitutions made 

 1 indicates a complete RHR year 

 2 indicates a year is considered complete with some substituted values 
3- 14

SAMA1 (CHAS1 donor)

Baseline Extinction, New IMPROVE Algorithm

20% W > 105

0

50

100

150

200

J-02

F-02

M-02

A-02

M-02

J-02

J-02

A-02

S-02

O-02

N-02

D-02

Extinction (Mm-1)

■ ■ ■ ■■■■■■■■■■■■■■■■■■■ ■ ■ ■■ ■■■■■■■■■■ ■■■ ■

20% W > 101

0

50

100

150

200

J-01

F-01

M-01

A-01

M-01

J-01

J-01

A-01

S-01

O-01

N-01

D-01

Extinction (Mm-1)

0

50

100

150

200

J-00

F-00

M-00

A-00

M-00

J-00

J-00

A-00

S-00

O-00

N-00

D-00

Extinction (Mm-1)

20% W > 109

0

50

100

150

200

J-03

F-03

M-03

A-03

M-03

J-03

J-03

A-03

S-03

O-03

N-03

D-03

Extinction (Mm-1)

■■■■■■■ ■ ■■■■■■■■■■■■■■■■■■■■ ■■■■■■■■■■■■■

20% W > 117

0

50

100

150

200

J-04

F-04

M-04

A-04

M-04

J-04

J-04

A-04

S-04

O-04

N-04

D-04

Extinction (Mm-1)

Figure 3-9. 2000-2004 annual bar charts indicating substituted data at the SAMA1 site. RHR 

data are indicated in blue, and substituted data by species in specific colors. Substituted days are 

also indicated by a black bar underneath the day. The red line indicates the threshold above 

which days are counted in the 20% worst days for that year. 
3- 15

3.3 EXTINCTION TRENDS 

10 year extinction trends for the period 1995-2004 were computed for each site that had 

at least 5 years of complete data. Emissions reductions were implemented in the eastern U.S. 

during this period under the Acid Rain provisions of the 1990 Clean Air Act Amendments and 

under the NOx SIP call for ozone. Theil slopes were calculated to determine the trend, and pvalues were calculated using Mann-Kendall trend analysis to determine the significance of each 

slope. Lower p-values indicate higher confidence levels in the computed slopes. 

Figure 3-10 is a map indicating 10 year annual average extinction trends for sites with at 

least 5 years of complete data. For sites in and around VISTAS, the BRIG1 and SHEN1 sites 

indicated insignificant trends (p-value < 0.20) and 8 sites showed decreasing trends (using pvalue<0.20 as indicator ). No sites indicated increasing trends. 

Figure 3-11 presents 10 year trend plots for a regional group of sites. The legend 

indicates the slope and p-value for the 20% worst days, 20% best days, and all monitored days. 

For these plots the GRSM1 and SHRO1 sites were the only sites with sufficient data for trend 

calculation, but annual observations for other sites are included on the plot for reference. 

Additional trend plots for other regional groupings of sites are included in Appendix E, 

represented in terms of SVR, dv and Mm-1. 

+4 Mm-1

+2 Mm-1

Insig. Trend

-2 Mm-1

-4 Mm-1

<5 years

Total

Extinction Trends

IMPROVE

1995-2004

Light Extinction

Change Per Year

BRIG1

SHEN1

CHAS1

DOSO1

GRSM1

MACA1

OKEF1

ROMA1

SHRO1

UPBU1

Figure 3-10. 10-year annual average extinction trends for sites in and around VISTAS Blue 

triangles indicate decreasing trends and blank diamonds indicate insignificant trends (pvalue<0.20). No sites showed increasing trends. 
3- 16

10 Year Temporal Trends

All Days

0

20

40

60

80

100

120

140

1995199619971998199920002001200220032004

TBext (Mm-1)

LIGO1

 N/A (< 5 years)

GRSM1

 m = -1.52, p = 0.01

SHRO1

 m = -1.62, p = 0.20

COHU1

 N/A (< 5 years)

SIPS1

 N/A (< 5 years)

10 Year Temporal Trends

20% Best Days

0

10

20

30

40

50

60

1995199619971998199920002001200220032004

TBext (Mm-1)

LIGO1

 N/A (< 5 years)

GRSM1

 m = -0.65, p = 0.19

SHRO1

 m = -0.54, p = 0.09

COHU1

 N/A (< 5 years)

SIPS1

 N/A (< 5 years)

10 Year Temporal Trends

20% Worst Days

0

50

100

150

200

250

300

1995199619971998199920002001200220032004

TBext (Mm-1)

LIGO1

 N/A (< 5 years)

GRSM1

 m = -6.77, p = 0.00

SHRO1

 m = -4.61, p = 0.20

COHU1

 N/A (< 5 years)

SIPS1

 N/A (< 5 years)

Figure 3-11. 10-year trend plots for a regional grouping of sites. Slopes and p-values are 

indicated in the legend. 
3- 17

3.4 BASELINE (2000-2004) AND NATURAL (2064) VISIBILITY CONDITIONS 

Baseline (2000-2004) visibility conditions were determined using the new revised 

IMPROVE algorithm to select the 20% worst and best visibility days, and using VISTAS 

substituted data when appropriate. 

Natural background visibility as defined in EPA guidance 

(http://vista.cira.colostate.edu/views/Web/RHR/RHR_Planning.aspx) is based on annual average 

concentrations of fine particle components. The same annual average natural background mass 

concentrations are assumed for all Class I areas in the eastern U.S. (separate values are estimated 

for the western U.S.). Natural background visibility for the 20% worst days is estimated by 

assuming that fine particle concentrations for natural background are normally distributed and 

the 90th percentile of the annual distribution represents natural background visibility on the 20% 

worst days. These assumptions are somewhat over simplified because the distribution of 

visibility conditions is likely not a normal distribution and the 92nd percentile of a normal 

distribution would be a better representation of the mean of the 20% worst days than the 90th

percentile16. EPA’s guidance did not estimate the contributions of individual fine particle 

components to natural background visibility on the 20% worst days. Following development of 

the new IMPROVE algorithm, a workgroup under the IMPROVE Steering Committee 

recommended revised assumptions to estimate natural background visibility on the 20% worst 

days (http://vista.cira.colostate.edu/TSS/Tools/WOEChecklist.aspx). For each Class I area, the 

natural background distribution of each fine particle component is assumed to be the same as the 

current (2000-2004) distribution of that component. 

For visualization purposes, haze conditions using images available for several of the 

VISTAS sites were simulated using ARS’ WinHaze Visual Air Quality Modeler (Ver. 2.9.6). 

Figure 3-12 presents a spit image depicting simulated baseline conditions and 2018 projected 

conditions at the GRSM1 site. There is a discernable difference in visibility between these time 

periods. Figure 3-13 depicts the estimated natural conditions goal for the GRSM1 site. Images 

for all VISTAS sites available through the WinHaze program (12 sites) are included in Appendix 

F, and for the Sipsey Wilderness area in Appendix B1. 

Tables 3-3 and 3-4 present the average baseline conditions for individual species, 

including the percent contribution to aerosol extinction (Rayleigh not included), and 2064 natural 

condition estimates. Figures 3-14 and 3-15 present stacked bar charts indicating species 

contributions to light extinction (Mm-1) for the average of the 20% worst and best visibility days 

for 2000-2004 at VISTAS regional sites. Figures 3-16 and 3-17 indicate species contribution to 

mass (μg/m3

) on the 20% worst and best extinction days. 

Ammonium sulfate is the largest contributor to visibility impairment on the 20% haziest 

days in the baseline 2000-2004 period (75% at SIPS1) at all the IMPROVE sites in the VISTAS 

region except Everglades National Park in Florida, where Ammonium sulfate is a close second to 

Particulate Organic Material, POM (40 and 45%, respectively). POM (also referred to as organic 

carbon) is the second largest contributor to aerosol extinction at all other sites, contributing to 

between 14% of aerosol extinction on the worst days at SIPS1. Baseline conditions for 20% 

worst days at the inland sites (182.2 - 241.4 Mm-1) average higher than conditions measured at 

the coastal sites (116.4 - 147.3 Mm-1). 
3- 18

Ammonium sulfate is also the largest contributor to visibility impairment on the 20% best 

days (50% at SIPS1), with large contributions from ammonium nitrate and POM. Sea salt is not 

a factor on the 20% worst days, but for the 20% best days it contributes to between 2 and 7% of 

the aerosol extinction at the VISTAS coastal sites. 

Ammonium sulfate, Coarse Matter (CM) and POM are the largest contributors to total 

mass on the 20% best and worst days. CM, although it is a factor for total mass, has a low 

extinction efficiency and does not contribute significantly to aerosol extinction. Ammonium 

sulfate contributes more significantly to aerosol extinction because it readily absorbs water vapor 

in the air. 

Figures 3-18 and 3-19 present stacked bar charts including all samples days at the 

GRSM1 and ROMA1 sites in the 2000 through 2004 baseline period. The red line is a threshold 

line, above which days are counted in the 20% worst days. Figures 3-20 and 3-21 select just the 

20% worst and best days at the GRSM1 site, and Figures 3-22 and 3-23 select the 20% worst and 

best visibility days at the ROMA1 site. The same charts are presented for additional Class I 

areas in Appendix G and specifically for the Sipsey Wilderness area in Appendix B1.

For the GRSM1 site, the 20% haziest days are most likely to occur in the summer, and 

the 20% best days occur most frequently during the winter. For coastal ROMA1 site, the 20% 

haziest days can occur year round, with the summer days being dominated by ammonium sulfate, 

while the worst days that occur between October and February have large contributions from 

ammonium sulfate, POM and sometimes ammonium nitrate. 
3- 19

2000-04 Baseline

216.3 Mm-1

2018 Projected

113.6 Mm-1

Figure 3-12. 2000-2004 baseline conditions and 2018 projected conditions at the GRSM1 site 

simulated using WinHaze Visual Air Quality Modeling program. 

2064 Natural Conditions

31.3 Mm-1

Figure 3-13. 2064 natural conditions at the GRSM1 site simulated using WinHaze Visual Air 

Quality Modeling program. 
3- 20

Table 3-3 

Baseline (2000-2004) and Natural Background Visibility Conditions 

20% Worst Visibility Days 

2000-2004 Component Extinction (Mm-1) 

(% of aerosol extinction) 2000-2004 Baseline 2064 Natural Conditions 

Site 

Amm. 

SO4

Amm. 

NO3

POM LAC Soil CM Sea 

Salt 

bext

(Mm-1) dV VR (km) 

bext

(Mm-1) dV 

SWAN1 83.3 

(74%) 

5.8 

(5%) 

14.7 

(13%) 

3.7 

(3%) 

0.6 

(1%) 

3.5 

(3%) 

0.2 

(0%) 123.9 24.7 33.5 33.0 11.6 

ROMA1 96.5 

(71%) 

5.3 

(4%) 

23.8 

(18%) 

5.7 

(4%) 

0.6 

(0%) 

3.2 

(2%) 

0.2 

(0%) 147.3 26.5 27.2 34.3 12.1 

OKEF1 102.9 

(69%) 

4.9 

(3%) 

30.3 

(20%) 

6.2 

(4%) 

0.8 

(1%) 

3.1 

(2%) 

0.2 

(0%) 159.4 27.1 24.8 32.5 11.4 

EVER1 42.5 

(40%) 

4.8 

(5%) 

47.1 

(45%) 

5.9 

(6%) 

0.9 

(1%) 

3.0 

(3%) 

1.2 

(1%) 116.4 22.3 37.6 43.1 12.2 

CHAS1 87.4 

(71%) 

5.1 

(4%) 

20.6 

(17%) 

6.7 

(5%) 

0.9 

(1%) 

3.0 

(2%) 

0.2 

(0%) 135.0 25.7 29.7 31.1 11.2 

VISTAS coastal 

SAMA1 93.1 

(71%) 

4.5 

(3%) 

24.2 

(18%) 

5.6 

(4%) 

0.8 

(1%) 

2.6 

(2%) 

0.2 

(0%) 142.1 26.3 28.2 33.9 11.9 

DOSO1 160.5 

(87%) 

3.4 

(2%) 

13.4 

(7%) 

4.7 

(3%) 

0.8 

(0%) 

1.7 

(1%) 

0.1 

(0%) 194.6 29.0 20.1 28.5 10.4 

SHEN1 155.5 

(83%) 

5.8 

(3%) 

16.1 

(9%) 

5.7 

(3%) 

0.7 

(0%) 

2.5 

(1%) 

0.1 

(0%) 196.5 29.3 20.0 32.2 11.4 

JARI1 136.4 

(76%) 

7.8 

(4%) 

22.8 

(13%) 

7.4 

(4%) 

0.8 

(0%) 

3.0 

(2%) 

0.2 

(0%) 189.5 29.1 20.8 30.9 11.1 

LIGO1 146 

(85%) 

2.3 

(1%) 

16.1 

(9%) 

5.2 

(3%) 

0.8 

(0%) 

2.2 

(1%) 

0.1 

(0%) 183.6 28.8 21.3 31.0 11.2 

SHRO1 149 

(87%) 

2.7 

(2%) 

14.6 

(8%) 

3.6 

(2%) 

0.9 

(0%) 

1.3 

(1%) 

0.1 

(0%) 182.2 28.5 23.0 34.9 11.9 

GRSM1 172.7 

(84%) 

3.4 

(2%) 

20.6 

(10%) 

5.7 

(3%) 

0.8 

(0%) 

1.9 

(1%) 

0.2 

(0%) 216.3 30.3 18.1 31.3 11.2 

COHU1 171.6 

(84%) 

3.5 

(2%) 

22.1 

(11%) 

5.1 

(2%) 

1.0 

(0%) 

1.8 

(1%) 

0.1 

(0%) 216.0 30.3 19.0 33.5 11.4 

SIPS1 133 

(75%) 

8.5 

(5%) 

24 

(14%) 

6.5 

(4%) 

0.8 

(0%) 

3.2 

(2%) 

0.3 

(0%) 187.3 29.0 20.9 30.3 11.0 

VISTAS inland 

MACA1 188.9 

(82%) 

9.7 

(4%) 

22.3 

(10%) 

6.2 

(3%) 

0.9 

(0%) 

2.2 

(1%) 

0.1 

(0%) 241.4 31.4 16.3 30.7 11.1 

BRIG1 127.1 

(70%) 

15.7 

(9%) 

24.2 

(13%) 

7.0 

(4%) 

1.0 

(1%) 

5.4 

(3%) 

0.4 

(0%) 192.7 29.0 20.4 36.3 12.2 

BRET1 97 

(76%) 

8.5 

(7%) 

11.7 

(9%) 

5.2 

(4%) 

1.0 

(1%) 

3.8 

(3%) 

0.7 

(1%) 139.0 26.0 29.9 33.6 11.9 

MING1 99.8 

(62%) 

26.9 

(17%) 

20.9 

(13%) 

5.6 

(3%) 

1.4 

(1%) 

6.5 

(4%) 

0.2 

(0%) 173.3 28.1 23.8 35.4 12.4 

HEGL1 87.9 

(63%) 

17.9 

(13%) 

25.3 

(18%) 

5.2 

(4%) 

0.9 

(1%) 

2.8 

(2%) 

0.2 

(0%) 151.2 26.7 25.9 32.1 11.3 

UPBU1 83.2 

(63%) 

13.3 

(10%) 

22.5 

(17%) 

4.7 

(4%) 

1.2 

(1%) 

6.8 

(5%) 

0.2 

(0%) 142.9 26.3 27.5 32.5 11.6 

non-VISTAS 

CACR1 87.1 

(65%) 

13.8 

(10%) 

23.4 

(17%) 

4.8 

(4%) 

1.1 

(1%) 

3.7 

(3%) 

0.2 

(0%) 145.1 26.4 27.2 32.2 11.6 
3- 21

Table 3-4 

Baseline (2000-2004) and Natural Background Visibility Conditions 

20% Best Visibility Days 

2000-2004 Component Extinction (Mm-1) 

(% of aerosol extinction) 2000-2004 Baseline 2064 Natural Conditions 

Site 

Amm. 

SO4

Amm. 

NO3

POM LAC Soil CM Sea 

Salt 

bext

(Mm-1) dV VR (km) 

bext

(Mm-1) dV 

SWAN1 11.4 

(52%) 

2.3 

(10%) 

2.4 

(11%) 

0.8 

(4%) 

0.2 

(1%) 

3.1 

(14%) 

1.5 

(7%) 33.7 12.0 118.9 16.4 4.9 

ROMA1 15.7 

(51%) 

3.1 

(10%) 

4.7 

(15%) 

1.7 

(5%) 

0.3 

(1%) 

2.9 

(10%) 

2.2 

(7%) 42.4 14.3 92.7 24.4 8.6 

OKEF1 19.7 

(55%) 

3.7 

(10%) 

6.8 

(19%) 

2.2 

(6%) 

0.4 

(1%) 

2.2 

(6%) 

0.7 

(2%) 46.7 15.2 84.7 17.3 5.4 

EVER1 9.6 

(45%) 

2.2 

(10%) 

3.5 

(16%) 

1.1 

(5%) 

0.4 

(2%) 

2.7 

(13%) 

1.9 

(9%) 32.3 11.7 121.3 16.9 5.2 

CHAS1 18.4 

(50%) 

4.2 

(11%) 

6.3 

(17%) 

2.9 

(8%) 

0.6 

(2%) 

3.3 

(9%) 

1.0

(3%) 47.7 15.5 83.1 16.8 5.0 

VISTAS coastal 

SAMA1 18.6 

(59%) 

2.8 

(9%) 

4.9 

(16%) 

1.7 

(5%) 

0.5 

(2%) 

2.3 

(7%) 

0.7 

(2%) 42.7 14.4 93.1 16.0 4.6 

DOSO1 14.3 

(56%) 

3.1 

(12%) 

4.9 

(19%) 

2.1 

(8%) 

0.2 

(1%) 

0.7 

(3%) 

0.1 

(0%) 35.4 12.3 111.0 14.4 3.6 

SHEN1 11.2 

(53%) 

4.2 

(20%) 

2.9 

(14%) 

1.6 

(8%) 

0.2 

(1%) 

1.1 

(5%) 

0.1 

(1%) 31.2 10.9 127.2 13.8 3.1 

JARI1 17.5 

(56%) 

3.7 

(12%) 

5.6 

(18%) 

3.0 

(9%) 

0.2 

(1%) 

1.2 

(4%) 

0.1 

(0%) 42.3 14.2 93.3 15.5 4.4 

LIGO1 11.3 

(56%) 

2.2 

(11%) 

3.8 

(19%) 

1.8 

(9%) 

0.2 

(1%) 

0.8 

(4%) 

0.1 

(1%) 31.2 11.1 126.4 22.1 7.6 

SHRO1 7.1 

(58%) 

1.5 

(12%) 

2.1 

(17%) 

0.9 

(7%) 

0.2 

(1%) 

0.4 

(4%) 

0.1 

(1%) 22.3 7.7 182.0 12.1 1.8 

GRSM1 16.4 

(56%) 

3.9 

(14%) 

4.9 

(17%) 

2.2 

(8%) 

0.2 

(1%) 

1.3 

(5%) 

0.2 

(1%) 40.2 13.6 98.0 15.9 4.6 

COHU1 16.3 

(55%) 

5.2 

(17%) 

4.8 

(16%) 

2.0 

(7%) 

0.2 

(1%) 

1.0 

(3%) 

0.1 

(0%) 40.6 13.8 100.1 14.4 3.5 

SIPS1 18.5 

(50%) 

7.1 

(19%) 

6.5 

(17%) 

2.6 

(7%) 

0.4 

(1%) 

2.1 

(6%) 

0.1 

(0%) 48.3 15.6 81.4 16.6 5.0 

VISTAS inland 

MACA1 22.1 

(53%) 

8.8 

(21%) 

6.3 

(15%) 

3.0 

(7%) 

0.3 

(1%) 

1.4 

(3%) 

0.1 

(0%) 53.0 16.5 74.2 16.5 5.0 

BRIG1 14.8 

(49%) 

3.9 

(13%) 

4.5 

(15%) 

2.4 

(8%) 

0.2 

(1%) 

3.2 

(11%) 

1.4 

(4%) 42.4 14.3 92.2 17.4 5.5 

BRET1 17.1 

(56%) 

3.1 

(10%) 

3.2 

(11%) 

1.8 

(6%) 

0.4 

(1%) 

3.4 

(11%) 

1.3 

(4%) 41.3 14.0 97.6 16.9 5.2 

MING1 14.3 

(46%) 

4.8 

(15%) 

6.3 

(20%) 

2.3 

(7%) 

0.4 

(1%) 

3.1 

(10%) 

0.1 

(0%) 43.2 14.5 92.9 15.7 4.5 

HEGL1 10.8 

(42%) 

4.9 

(19%) 

5.1 

(20%) 

2.0 

(8%) 

0.3 

(1%) 

2.3 

(9%) 

0.2 

(1%) 36.6 12.8 107.2 16.0 4.7 

UPBU1 8.7 

(39%) 

4.6 

(21%) 

4.2 

(19%) 

1.5 

(7%) 

0.3 

(2%) 

2.8 

(13%) 

0.1 

(0%) 33.2 11.7 118.9 15.2 4.2 

non-VISTAS 

CACR1 8.5 

(41%) 

4.0 

(20%) 

4.3 

(21%) 

1.5 

(7%) 

0.2 

(1%) 

1.8 

(9%) 

0.2 

(1%) 31.6 11.2 124.0 15.3 4.2 
3- 22

Average Extinction for 20% Worst Days

New IMPROVE Algorithm (nia)

2000-2004

0

50

100

150

200

250

300

SWAN1

ROMA1

OKEF1

EVER1

CHAS1

SAMA1DOSO1

SHEN1

JARI1

LIGO1

SHRO1

GRSM1

COHU1

SIPS1

MACA1

BRIG1

BRET1

MING1

HEGL1

UPBU1

CACR1

VISTAS coastal VISTAS inland non-VISTAS

Extinction (Mm-1)

Sea Salt

CM

Soil

EC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-14. Contributions to light extinction (Mm-1) for the average of the 20% worst visibility 

days in 2000-2004 at VISTAS and neighboring Class I areas. 

Average Extinction for 20% Best Days

New IMPROVE Algorithm (nia)

2000-2004

0

10

20

30

40

50

60

SWAN1ROMA1

OKEF1

EVER1

CHAS1

SAMA1

DOSO1

SHEN1

JARI1

LIGO1

SHRO1

GRSM1

COHU1

SIPS1

MACA1

BRIG1

BRET1

MING1

HEGL1

UPBU1

CACR1

VISTAS coastal VISTAS inland non-VISTAS

Extinction (Mm-1

)

Sea Salt

CM

Soil

EC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-15. Contributions to light extinction (Mm-1) for the average of the 20% best visibility 

days in 2000-2004 at VISTAS and neighboring Class I areas.
3- 23

0

5

10

15

20

25

30

35

SWAN1

ROMA1

OKEF1

EVER1

CHAS1

SAMA1

DOSO1

SHEN1

JARI1

LIGO1

SHRO1

GRSM1

COHU1

SIPS1

MACA1

BRIG1

BRET1

MING1

HEGL1

UPBU1

CACR1

VISTAS coastal VISTAS inland non-VISTAS

Mass (μg/m3

)

Sea Salt

CM

Soil

EC

POM

Amm NO3

Amm SO4

Figure 3-16. Contributions to mass (μg/m3) for the average of the 20% worst visibility days in 

2000-2004 at VISTAS and neighboring Class I areas. 

0

2

4

6

8

10

12

SWAN1

ROMA1

OKEF1

EVER1

CHAS1

SAMA1

DOSO1

SHEN1

JARI1

LIGO1

SHRO1

GRSM1

COHU1

SIPS1

MACA1

BRIG1

BRET1

MING1

HEGL1

UPBU1

CACR1

VISTAS coastal VISTAS inland non-VISTAS

Mass (μg/m3

)

Sea Salt

CM

Soil

EC

POM

Amm NO3

Amm SO4

Figure 3-17. Contributions to mass (μg/m3) for the average of the 20% best visibility days in 

2000-2004 at VISTAS and neighboring Class I areas. 
3- 24

GRSM1

Baseline Extinction, New IMPROVE Algorithm

20% W > 142

0

100

200

300

400

J-02

F-02

M-02

A-02

M-02

J-02

J-02

A-02

S-02

O-02

N-02

D-02

Extinction (Mm-1)

20% W > 140

0

100

200

300

400

J-01

F-01

M-01

A-01

M-01

J-01

J-01

A-01

S-01

O-01

N-01

D-01

Extinction (Mm-1)

20% W > 139

0

100

200

300

400

J-00

F-00

M-00

A-00

M-00

J-00

J-00

A-00

S-00

O-00

N-00

D-00

Extinction (Mm-1)

20% W > 139

0

100

200

300

400

J-03

F-03

M-03

A-03

M-03

J-03

J-03

A-03

S-03

O-03

N-03

D-03

Extinction (Mm-1)

20% W > 130

0

100

200

300

400

J-04

F-04

M-04

A-04

M-04

J-04

J-04

A-04

S-04

O-04

N-04

D-04

Extinction (Mm-1)

 Figure 3-18. Bar charts by year indicating speciation of all data collected at the GRSM1 site. 

The red line indicates the threshold above which days are counted in the 20% worst days. 
3- 25

ROMA1

Baseline Extinction, New IMPROVE Algorithm

20% W > 92

0

50

100

150

200

250

300

J-02

F-02

M-02

A-02

M-02

J-02

J-02

A-02S-02

O-02

N-02D-02

Extinction (Mm-1)

20% W > 102

0

50

100

150

200

250

300

J-01

F-01

M-01

A-01

M-01

J-01

J-01

A-01S-01

O-01

N-01D-01

Extinction (Mm-1)

20% W > 133

0

50

100

150

200

250

300

J-00

F-00

M-00

A-00

M-00

J-00J-00

A-00S-00

O-00

N-00D-00

Extinction (Mm-1)

20% W > 96

0

50

100

150

200

250

300

J-03

F-03

M-03

A-03

M-03

J-03J-03

A-03S-03

O-03

N-03D-03

Extinction (Mm-1)

20% W > 116

0

50

100

150

200

250

300

J-04

F-04

M-04

A-04

M-04

J-04

J-04

A-04

S-04

O-04

N-04D-04

Extinction (Mm-1)

 Figure 3-19. Bar charts by year indicating speciation of all data collected at the ROMA1 site. 

The red line indicates the threshold above which days are counted in the 20% worst days. 
3- 26

y

0

50

100

150

200

250

300

350

400

450

3/8 5/6 5/17 6/3 6/10 6/28 7/1 7/8 7/22 8/5 8/16 8/19 8/23 8/26 10/15 10/18 10/21 10/24 10/27 11/2 5/1 5/7 6/9 6/12 6/21 6/27 7/3 7/12 7/18 7/21 7/24 7/30 8/2 8/5 8/8 8/11 8/14 8/17 8/23 8/26 9/7 9/13 9/19 11/18 2/25 5/2 5/8 5/17 6/1 6/13 6/19 6/22 7/1 7/7 7/10 7/16 7/22 7/31 8/3 8/6 8/9 8/12 8/15 8/21 9/5 9/8 9/11 9/17 3/16 4/27 5/24 5/27 6/5 6/11 6/26 6/29 7/5 7/17 7/20 7/26 8/7 8/10 8/16 8/19 8/22 8/25 8/28 9/3 9/6 9/9 9/12 9/21 1/10 2/21 6/8 6/11 6/20 6/26 6/29 7/8 7/17 7/20 7/29 8/4 8/10 8/16 8/19 8/25 8/28 8/31 9/3 9/12 9/15 9/30 10/3 10/30

2000 2001 2002 2003 2004

Extinction (Mm-1)

Sea Salt

CM

Soil

LAC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-20. Contributions to light extinction (Mm-1) for the 20% worst visibility days in 2000-

2004 at the GRSM1 site. 

0

10

20

30

40

50

60

70

80

1/8 1/12 1/15 1/22 1/26 1/29 2/12 3/11 3/29 4/5 4/8 4/12 4/15 4/22 4/26 10/9 11/14 11/20 12/14 12/23 1/7 1/10 1/19 1/22 1/31 2/6 2/15 2/24 2/27 3/14 3/20 4/13 5/25 6/30 9/1 9/4 9/25 10/7 10/10 10/16 10/25 11/30 12/15 12/21 1/8 1/11 1/14 1/23 2/1 2/7 2/19 2/28 3/3 3/9 3/30 4/26 7/13 9/14 9/26 10/26 10/29 11/4 11/16 11/22 12/7 12/13 12/22 1/30 2/2 2/5 2/17 2/26 3/19 3/31 4/9 4/18 5/12 5/21 7/2 10/6 10/15 10/27 11/5 11/20 11/26 12/2 12/5 12/8 12/14 12/17 1/1 1/7 1/16 1/25 1/31 2/6 2/12 2/15 2/27 3/7 3/31 4/6 6/23 9/18 10/15 11/11 11/14 11/23 11/26 11/29 12/2 12/8 12/11 12/23

2000 2001 2002 2003 2004

Extinction (Mm-1)

Sea Salt

CM

Soil

LAC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-21. Contributions to light extinction (Mm-1) for the 20% best visibility days in 2000-

2004 at the GRSM1 site. 
3- 27

y

0

50

100

150

200

250

300

350

400

1/1 2/12 2/23 5/3 7/1 7/8 7/12 7/15 7/19 8/12 8/16 8/19 8/26 9/15 10/15 10/18 11/5 11/8 12/8 12/11 1/1 1/4 2/21 3/2 4/10 5/13 5/16 5/19 5/28 5/31 6/15 7/9 7/12 7/15 8/8 8/23 8/26 8/29 9/19 9/22 9/28 10/31 11/9 11/18 12/3 1/17 1/29 2/13 2/16 2/22 4/20 5/2 6/4 6/7 7/1 7/4 7/7 7/16 7/19 7/25 7/31 8/24 9/11 9/14 9/17 10/20 10/23 10/26 12/7 1/9 2/20 2/26 3/25 5/27 5/30 6/5 6/11 6/20 6/23 6/26 7/11 7/29 8/19 8/25 9/6 9/9 9/12 9/21 10/3 10/6 10/12 10/21 1/10 1/13 1/22 2/24 3/13 4/9 5/6 5/12 5/27 6/20 7/11 7/14 7/20 7/23 7/26 8/4 8/19 9/3 9/24 9/30 10/3 10/27 10/30 12/5

2000 2001 2002 2003 2004

Extinction (Mm-1)

Sea Salt

CM

Soil

LAC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-22. Contributions to light extinction (Mm-1) for the 20% worst visibility days in 2000-

2004 at the ROMA1 site. 

0

10

20

30

40

50

60

70

80

1/5 1/15 1/29 2/26 4/22 4/26 6/14 6/17 6/28 7/29 8/2 8/23 9/9 9/12 9/18 10/9 10/24 12/23 12/26 1/10 1/31 2/12 3/14 4/25 5/1 6/27 6/30 7/3 8/2 8/5 9/10 9/16 10/7 10/10 10/13 10/22 11/3 11/15 11/24 11/27 12/6 12/18 12/24 1/14 1/23 3/3 3/6 3/9 4/2 4/14 4/17 5/5 6/10 6/19 6/22 6/25 7/10 8/15 8/30 9/2 9/5 9/20 9/23 9/26 10/11 12/19 1/24 2/5 2/23 3/31 4/9 5/21 5/24 6/14 6/17 7/14 7/23 7/26 8/16 9/3 9/15 9/27 11/5 11/14 11/17 11/20 12/11 12/20 12/23 1/7 2/12 2/15 2/27 3/1 3/4 3/7 3/31 4/15 6/14 6/17 7/29 8/1 8/13 9/21 11/2 11/5 11/11 11/26 12/2 12/11 12/14 12/20

2000 2001 2002 2003 2004

Extinction (Mm-1)

Sea Salt

CM

Soil

LAC

POM

Amm NO3

Amm SO4

Rayleigh

Figure 3-23. Contributions to light extinction (Mm-1) for the 20% best visibility days in 2000-

2004 at the ROMA1 site. 
3- 28

3.5 GLIDEPATHS 

The RHR guidance requires reasonable progress to be tracked using the Haze Index 

(deciviews), which is determined as a logarithmic transformation of the sum of all light 

extinction terms in the IMPROVE light extinction algorithm. The rate of visibility improvement 

between baseline conditions in 2000-2004 and natural background conditions in 2064 is defined 

as the glidepath for the uniform rate of progress toward visibility goals. Glidepaths calculated 

using the original and revised IMPROVE algorithm for the GRSM1 and ROMA1 sites are 

presented in Figures 3-24 and 3-25 and for the Sipsey Wilderness in Appendix B1. Natural 

conditions for the glidepath using the original IMPROVE equation are EPA default calculations, 

and natural conditions for the path using the revised IMPROVE equations are the revised natural 

condition calculations discussed in Section 2.1. Current conditions at the interior sites are poorer 

than at the coastal sites and thus a higher rate of improvement is required in each decade to 

achieve a uniform rate of progress toward natural background conditions in 2064. 

Glide Path to Natural Conditions (2004-2064)

(5-yr Rolling Average for 20% Haziest Days - New IMPROVE equation and NB II )

0

5

10

15

20

25

30

35

1986-19901988-19921990-19941992-19961994-19981996-20001998-20022000-2004

200620082010201220142016201820202022202420262028203020322034203620382040204220442046204820502052205420562058206020622064

Deciviews (dv)

Default Glide Path GRSM New Glide Path GRSM

Default 5-yr Rolling Avg GRSM New 5-yr Rolling Avg GRSM

Annual g90 - Old Annual g90 - New

 Base old Base new Default NB NB2

 Great Smokey Mtns 28.8 30.3 11.4 dv 11.2 dv

Figure 3-24. DV Glidepaths for the GRSM1 site, calculated using both the original IMPROVE 

algorithm using EPA default natural conditions (Default NB) and the new IMPROVE algorithm 

using the revised estimate of natural background conditions (NB2). 
3- 29

Glide Path to Natural Conditions (2004-2064)

(5-yr Rolling Average for 20% Haziest Days - New IMPROVE equation and NB II )

0

5

10

15

20

25

30

35

1986-19901988-19921990-19941992-19961994-19981996-20001998-20022000-2004

200620082010201220142016201820202022202420262028203020322034203620382040204220442046204820502052205420562058206020622064

Deciviews (dv)

New Glide Path ROMA Default Glide Path ROMA

New 5-yr Rolling Avg ROMA Default 5-yr Rolling Avg ROMA

Annual g90 - New Annual g90 - Old

 Base old Base new Default NB NB2

 Cape Romain 25.3 26.5 11.4 dv 12.1 dv

Figure 3-25. DV Glidepaths for the ROMA1 site, calculated using both the original IMPROVE 

algorithm using EPA default natural conditions (Default NB) and the new IMPROVE algorithm 

using the revised estimate of natural background conditions (NB2). 

The glidepath defined using deciview (dv) does not provide information regarding the 

relative contributions of individual species to overall visibility. This information is useful 

because some species (sulfate and nitrate) originate from largely anthropogenic sources, while 

others (organic carbon, elemental carbon) originate from a mixture of both anthropogenic and 

natural sources. 

To look at individual species contribution, species specific glidepaths were constructed 

using extinction in a manner similar to that outlined in RHR guidance for total deciviews. 

Figures 3-26 through 3-29 present glidepath charts for total extinction and for ammonium 

sulfate, ammonium nitrate and POM extinction at the GRSM1 site, and figures 3-30 through 3-

33 present the glidepaths for the ROMA1 site. The dv glidepath is linear as defined in the RHR, 

which, because it is a logarithmic transformation of extinction data, translates to a curved line 

when converted to total extinction in Mm-1. The dv contribution can not be constructed for 

individual species, so linear approximations in Mm-1 are used for the species specific glidepaths 

to approximate progress goals. 2018 projected extinction values were provided by ENVIRON 

based on CMAQ modeling of the 2018 Base G1 inventory. Plots for each site in and around the 

VISTAS region are included in Appendix I, and specifically for the Sipsey Wilderness area in 

Appendix B1. 
3- 30

For total extinction, the projected 2018 value at the GRSM1 site is well below the 

glidepath to natural conditions. This is in large part due to the substantial improvement in 

projected ammonium sulfate values, from 173 Mm-1 to 70 Mm-1 in 2018. POM needs little 

improvement to reach natural conditions, and projected 2018 values fall slightly below the 

glidepath. For ammonium nitrate, baseline conditions are low, and are similar to estimated 

natural conditions. Projected 2018 nitrate values are actually higher than the baseline emissions, 

but still low at 9 Mm-1 when compared to the baseline ammonium sulfate emissions of 173 

Mm-1. 

At the ROMA1 site, the baseline is lower than for the GRSM1 site, and the projected 

2018 value for total extinction at the ROMA1 site is on the glidepath. Projected ammonium 

sulfate is below the glidepath, with a projected value of 54 Mm-1 in 2018. POM again needs little 

improvement to reach natural conditions, and projected 2018 values are on the glidepath. For 

ammonium nitrate, projected 2018 values are lower than the baseline emissions, slightly above 

the glidepath, but still low, with projected 2018 values of 5 Mm-1. 

0

50

100

150

200

250

20002002200420182064

Extinction (Mm-1)

Total Bext

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-26. Glidepath depicting total bext (Mm-1) for 20% worst days at the GRSM1 site. 
3- 31

0

20

40

60

80

100

120

140

160

180

200

20002002200420182064

Extinction (Mm-1)

Ammonium Sulfate

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-27. Glidepath depicting Ammonium Sulfate for 20% worst days at the GRSM1 site. 

0

1

2

3

4

5

6

7

8

9

10

20002002200420182064

Extinction (Mm-1)

Ammonium Nitrate

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-28. Glidepath depicting Ammonium Nitrate for 20% worst days at the GRSM1 site. 
3- 32

0

5

10

15

20

25

30

35

40

20002002200420182064

Extinction (Mm-1)

Particulate Organic Matter

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-29. Glidepath depicting Particulate Organic Material for 20% worst days at the 

GRSM1 site. 

0

20

40

60

80

100

120

140

160

180

200

20002002200420182064

Extinction (Mm-1)

Total Bext

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-30. Glidepath depicting total bext (Mm-1) for 20% worst days at the ROMA1 site. 
3- 33

0

20

40

60

80

100

120

140

20002002200420182064

Extinction (Mm-1)

Ammonium Sulfate

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-31. Glidepath depicting Ammonium Sulfate for 20% worst days at the ROMA1 site. 

0

1

2

3

4

5

6

7

8

20002002200420182064

Extinction (Mm-1)

Ammonium Nitrate

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-32. Glidepath depicting Ammonium Nitrate for 20% worst days at the ROMA1 site. 
3- 34

0

5

10

15

20

25

30

35

20002002200420182064

Extinction (Mm-1)

Particulate Organic Matter

Baseline

Glide Slope

2018 Base G

Natural Conditions

Figure 3-33. Glidepath depicting Particulate Organic Material for 20% worst days at the 

ROMA1 site. 
3- 35

3.6 ATTRIBUTION ANALYSIS 

An attribution analysis was performed to allow states to understand what source regions 

impact Class I areas in the VISTAS region. The analysis included construction of back 

trajectory and residence time maps, and comparisons of international and domestic mass 

attribution. 

3.6.1 Back Trajectory Maps

For the year 2002, back trajectories were computed for IMPROVE monitoring sites in 

and around the VISTAS region. These analyses used the VISTAS substituted data set, with 

extinction calculated using the original IMPROVE algorithm. The original algorithm was used 

because the maps were generated and mapped before VISTAS made the decision to use the 

revised algorithm, but the days identified as the 20% worst days are similar, if not exactly the 

same, between algorithms. Each hourly point for back trajectories with end dates corresponding 

to the 20% worst visibility days was plotted on a map. A back trajectory map for the 20% worst 

measured extinction days at the SIPS1 site is presented in Figure 3-34. Back trajectory maps for 

all VISTAS sites are included in Appendix J. 

Figure 3-34. Back trajectories for the 20% Worst extinction days at the Sipsey Wilderness area 

IMPROVE monitoring site. 
3- 36

3.6.2 Residence Time Maps

Residence time maps were constructed using 2000-2004 back trajectories. 20% worst 

extinction days were determined using the substituted IMPROVE RHR2 (new IMPROVE 

algorithm, updated 3/06) data set. Each hourly point for back trajectories with end dates 

corresponding to the 20% worst visibility days was counted and summed into 1⁄4 degree 

horizontal grid cells of latitude and longitude. The percent of hourly points in each grid cell was 

calculated and mapped using color gradients, where darker colors indicate regional areas where 

air parcels spent the most time before reaching the IMPROVE monitors. A residence time map 

for the 20% worst measured extinction days at the SIPS1 site for trajectories with end heights of 

100m is presented in Figure 3-31. 100m and 500m residence time maps for all VISTAS and 

regional sites are included in Appendix K. 

Residence time over an area is indicative of general flow patterns, but since it does not 

account for emissions and removal processes, it does not necessarily imply specific areas 

contributed significantly to haze compounds at a receptor site. 

Figure 3-35. Residence times for 72-hour back trajectories with 100m end heights for 20% worst 

extinction days at the SIPS1 IMPROVE monitoring site. 
3- 37

3.6.3 Extinction-Weighted Residence Time

For the years 2000-2004 ARS generated extinction-weighted residence time data for each 

IMPROVE site in and around the VISTAS region. These analyses used the VISTAS substituted 

data set, with extinction calculated using the original IMPROVE algorithm. The original 

algorithm was used because these data files were generated prior to VISTAS decision to use the 

new algorithm, and it was determined that updating these data with the revised algorithm would 

not affect interpretation. Each hourly point for back trajectories with end dates corresponding to 

one the 20% worst visibility days were weighted with calculated extinction values for that day. 

Trajectory data were weighted by total extinction, and by extinction components including 

ammonium sulfate (AmmSO4), ammonium nitrate (AmmNO3), particulate organic material 

(POM), Light Absorbing Carbon (LAC), Soil, and Coarse Mass (CM). The extinction values 

associated with hourly points were summed into 1 degree horizontal grid cells of latitude and 

longitude. 

These extinction-weighted residence time data files were provided to ENVIRON to use in 

conjunction with emissions information to relate emissions and transport to components of haze, 

and to apply distance weighting to estimate removal processes. These charts are available from 

ENVIRON. 

3.6.4 International Contributions

To account for contribution to mass measured at VISTAS sites from international 

emissions, VISTAS generated model results with zeroed out Mexican and Canadian emissions, 

and boundary conditions (as defined by the GEOS-CHEM global model). The difference 

between the model run with and without the international emissions was used to represent 

species mass attributable to international sources. 

Figure 3-36 and 3-37 present stacked bar charts separating domestic and international 

attribution of mass on the 20% worst and best extinction days in 2002 at the GRSM1 site, and 

Figures 3-38 and 3-39 present charts for the ROMA1 site. For this comparison all sulfate and 

nitrate were assumed to be fully neutralized by particulate NH4

+

 (similar to IMPROVE 

monitoring network assumptions). Negative numbers in the international results indicated that 

species concentration went up when the non-U.S. anthropogenic emissions were removed. The 

negative impacts were usually small, and these values were set to zero for purposes of this 

comparison. Domestic contributions were computed as the difference between total measured 

mass and international modeled mass. 

International attribution at the GRSM1 site ranges between 2 and 7% of total mass on the 

20% worst days. Magnitudes on the 20% best days were similar, but accounted for up to 41% of 

total measured mass. At the ROMA1 site, attribution was between 0 and 18% on the worst days, 

and up to 21% on the best days. Similar charts for the other Class I areas are included in 

Appendix L and specifically for the Sipsey Wilderness area in Appendix B1. 
3- 38

GRSM1

Domestic and International Aerosol Mass by Species

20% Worst Days (2002)

0

5

10

15

20

25

30

35

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

2/25 5/2 5/8 5/17 6/1 6/13 6/19 6/22 7/1 7/7 7/10 7/16 7/22 7/31 8/3 8/6 8/9 8/12 8/15 8/21 9/5 9/8 9/11 9/17

Mass (μg/m3

)

Amm SO4 Amm NO3 POM LAC Soil CM Sea Salt

Figure 3-36. Stacked bar charts of mass at the GRSM1 site depicting domestic and international 

contributions to the 20% worst days in 2002. 

GRSM1

Domestic and International Aerosol Mass by Species

20% Best Days (2002)

0

2

4

6

8

10

12

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

1/8 1/11 1/14 1/23 2/1 2/7 2/19 2/28 3/3 3/9 3/30 4/26 7/13 9/14 9/26 10/26 10/29 11/4 11/16 11/22 12/7 12/13 12/22

Mass (μg/m3

)

Amm SO4 Amm NO3 POM LAC Soil CM Sea Salt

Figure 3-37. Stacked bar charts for mass at the GRSM1 site depicting domestic and international 

contributions to the 20% best days in 2002. 
3- 39

ROMA1

Domestic and International Aerosol Mass by Species

20% Worst Days (2002)

0

5

10

15

20

25

30

35

40

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

1/17 1/29 2/13 2/16 2/22 4/20 5/2 6/4 6/7 7/1 7/4 7/7 7/16 7/19 7/25 7/31 8/24 9/11 9/14 9/17 10/20 10/23 10/26 12/7

Mass (μg/m3

)

Amm SO4 Amm NO3 POM LAC Soil CM Sea Salt

Figure 3-38. Stacked bar charts of mass at the ROMA1 site depicting domestic and international 

contributions to the 20% worst days in 2002. 

ROMA1

Domestic and International Aerosol Mass by Species

20% Best Days (2002)

0

2

4

6

8

10

12

14

16

18

20

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

Domestic

International

1/14 1/23 3/3 3/6 3/9 4/2 4/14 4/17 5/5 6/10 6/19 6/22 6/25 7/10 8/15 8/30 9/2 9/5 9/20 9/23 9/26 10/11 12/19

Mass (μg/m3

)

Amm SO4 Amm NO3 POM LAC Soil CM Sea Salt

Figure 3-39. Stacked bar charts for mass at the ROMA1 site depicting domestic and 

international contributions to the 20% best days in 2002. 
natural

site Group _FREQ_

NIA_ Ammonium_ Sulfate

_

Ext

NIA_ Ammonium_ Nitrate

_

Ext

NIA_ Organic_ ext

NIA_ Elemental_ Carbon

_

Ext

NIA_ Fine_Soil_ Ext

NIA_ Sea_Salt_ Ext

NIA_Coarse_

Ext

NIA_ Natural

_

Ext rayleigh_ext 

ACAD1 10 5 0.75945396 0.27296902 2.00048974 0.0835176 0.10431123 0.17913714 0.56367247 15.9635512 12 ACAD1 90 5 4.79378245 1.97249946 11.8059596 0.39835447 0.51707427 2.11813639 2.1726564 35.7784631 12 

ACAD1 100 5 2.03625842 0.9343338 5.43254283 0.2 0.24710075 0.95248429 1.28266964 23.0853897 12 

ADPI1 10 3 0.6648416 0.37500545 2.05769253 0.08994731 0.12611274 0.18994223 0.61836959 15.1219115 11 ADPI1 90 3 4.04347545 1.08700999 13.1229486 0.33890807 0.83558559 0.22455677 2.52516333 33.1776478 11 ADPI1 100 3 1.8252987 0.83096605 5.93140795 0.2 0.39751407 0.18418841 1.5490077 21.9183829 11 

AGTI1 10 4 0.1742475 0.22151588 0.73899079 0.10509661 0.25676362 0.20108993 0.72076219 13.4184665 11 

AGTI1 90 4 0.99141294 0.93611476 2.98289316 0.26009103 0.8266698 1.68144339 2.98204351 21.6606686 11 

AGTI1 100 4 0.61743702 0.59328822 1.76579181 0.2 0.5 0.68810148 1.8 17.1646185 11 AREN1 10 3 0.70840515 0.28184244 2.0471456 0.0910297 0.19467131 0.16830672 0.80667269 15.2980736 11 AREN1 90 3 3.09444464 1.31210158 12.5786032 0.31704785 0.91270667 1.42157083 2.85281436 33.4892891 11 

AREN1 100 3 1.71910332 0.7791395 5.90756924 0.2 0.47886161 0.68781877 1.8 22.5724924 11 

BADL1 10 5 0.3635995 0.36558546 0.6607949 0.10705434 0.21594304 0.01366693 0.59133713 13.3179813 11 BADL1 90 5 1.18966166 0.86308255 4.09589326 0.34430997 0.95142109 0.18750304 4.03720708 22.6690787 11 BADL1 100 5 0.76377773 0.74389485 1.78912979 0.2 0.49657707 0.05078342 1.8 16.8441629 11 BALD1 10 2 0.23049264 0.18914395 0.56426321 0.10605867 0.09723792 0.00357431 0.29447816 10.4852488 9 

BALD1 90 2 0.57885959 0.73167886 3.91230511 0.35802712 1.13379009 0.13421613 3.45784747 19.3067244 9 BALD1 100 2 0.46631243 0.44909026 1.79662564 0.2 0.5 0.04583498 1.62924615 14.0871095 9 

BAND1 10 5 0.35549519 0.306794 0.89545346 0.12046354 0.16161861 0.00286595 0.54374742 11.3864382 9 BAND1 90 5 0.64793349 0.80730683 4.00644777 0.32423888 1.07249382 0.23821879 3.63923386 19.7358734 9 BAND1 100 5 0.53026032 0.535865 1.8838594 0.2 0.49708645 0.0660587 1.71891244 14.4320423 9 BIBE1 10 4 0.19290094 0.18190443 0.68136972 0.10757422 0.11151333 0.01627692 0.48224206 11.7737816 10 BIBE1 90 4 0.59158939 0.81908026 3.2300585 0.27209536 1.22886005 0.37932096 4.23247228 20.7534768 10 BIBE1 100 4 0.46631222 0.43477339 1.77468557 0.2 0.5 0.10526384 1.8 15.281035 10 

BLIS1 10 4 0.23654437 0.22430584 0.43855447 0.067773 0.09094818 0.03354628 0.305564 10.3972361 9 BLIS1 90 4 0.86143725 0.88018207 4.14978392 0.37874327 0.97181249 0.09020305 2.2972119 18.6293739 9 

BLIS1 100 4 0.55253299 0.58631531 1.79251372 0.2 0.42768352 0.05441291 1.14980877 13.7632672 9 BLMO1 10 2 0.8777023 0.28945327 2.10117601 0.08655149 0.21948958 0.10278428 0.80619932 15.4833563 11 BLMO1 90 2 3.15985333 1.16914167 11.7572849 0.33258937 0.97169488 0.33603851 3.29671731 32.02332 11 

BLMO1 100 2 1.68970426 0.80400304 5.78757958 0.2 0.5 0.26027122 1.8 22.0415581 11 

BOAP1 10 3 0.34005207 0.28122087 0.8611298 0.12894036 0.1538499 0.07606116 0.57980088 12.4210551 10 

BOAP1 90 3 0.58492388 1.00619617 3.14708368 0.28898205 1.062376 0.24607166 3.55526038 19.8908938 10 

BOAP1 100 3 0.48712918 0.51212363 1.77152351 0.2 0.5 0.14241244 1.8 15.4131888 10 BOND1 10 3 0.86446861 0.55518338 2.45502638 0.10005228 0.24181789 0.23230552 1.06675119 16.5156052 11 

BOND1 90 3 3.69428357 0.91773298 10.7785261 0.31205672 1.00081755 0.68436251 3.02439273 31.4121721 11 

BOND1 100 3 1.89618524 0.91982394 5.73890906 0.2 0.49866983 0.55011172 1.8 22.6036998 11 BOWA1 10 2 0.75560874 0.1410872 1.4785169 0.05921292 0.10817143 0.02430615 0.45161568 14.018519 11 BOWA1 90 2 3.13081913 1.73432575 11.3923989 0.40420655 0.69328588 0.17349314 3.52844647 32.0569758 11 

BOWA1 100 2 1.64648927 0.77795855 5.52752331 0.2 0.34528095 0.1222255 1.69003614 21.3095137 11 BRCA1 10 5 0.23825659 0.28696647 0.50610053 0.09305749 0.10330273 0.0056962 0.36169352 10.5950735 9 BRCA1 90 5 0.63054529 0.68552734 4.30344121 0.39749843 1.17690162 0.10456872 4.12194325 20.4204258 9 BRCA1 100 5 0.47438262 0.52617205 1.82379998 0.2 0.5 0.03664197 1.71916287 14.2801595 9 BRID1 10 5 0.28283987 0.24630179 0.4066068 0.0829435 0.07283139 0.0085107 0.19706392 10.297098 9 

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BRID1 90 5 0.81751122 0.78970119 4.6432255 0.39251377 1.07139611 0.03675109 2.66507834 19.4161772 9 

BRID1 100 5 0.57163932 0.56280184 1.81683207 0.2 0.44439878 0.02472375 1.1264166 13.7468124 9 BRIG1 10 5 0.8811897 0.35235596 2.54475946 0.11958179 0.24230573 0.21538761 1.03972256 17.3953028 12 

BRIG1 90 5 3.15574342 1.07115767 12.7780256 0.28884561 0.84644223 3.56726671 2.6207657 36.3282469 12 BRIG1 100 5 1.80288867 0.81599208 6.00841949 0.2 0.47161745 1.38490317 1.8 24.4838209 12 BRLA1 10 3 0.23805872 0.14373932 0.27973393 0.05282025 0.08003622 0.00059861 0.15573048 8.95071753 8 

BRLA1 90 3 0.91695476 0.88138756 4.99673028 0.448397 1.15722242 0.09832459 2.19596046 18.6949771 8 

BRLA1 100 3 0.58628913 0.56997531 1.8194139 0.2 0.48692712 0.0231047 1.04097209 12.7266823 8 

BRMA1 10 3 0.74476065 0.30022971 1.84437144 0.07812787 0.10855534 0.20995222 0.65534652 15.9413438 12 

BRMA1 90 3 4.41267335 1.51938919 12.7722837 0.38398447 0.58980277 0.53696695 1.91312488 34.1282253 12 BRMA1 100 3 1.79257461 0.81719376 5.84141185 0.2 0.27149083 0.33662326 1.27293406 22.5322284 12 CABA1 10 3 0.72652974 0.22980788 1.99148876 0.07961427 0.16802797 0.17445777 0.8689776 16.238904 12 CABA1 90 3 3.59037419 1.46878005 14.1170573 0.34077264 0.6533893 2.72210849 3.11635538 38.0088374 12 

CABA1 100 3 1.71600438 0.79390691 6.07701796 0.2 0.32162102 1.0502555 1.7606963 23.9195021 12 

CABI1 10 4 0.36160861 0.43250891 0.38034131 0.05869777 0.08834636 0.04157521 0.24931112 11.6123893 10 

CABI1 90 4 1.12078495 1.1493409 4.2518742 0.40292911 0.966724 0.19558424 3.43310155 21.5203389 10 CABI1 100 4 0.78586208 0.81482927 1.79835059 0.2 0.4091262 0.10658565 1.38411444 15.4988682 10 CACO1 10 3 0.78032649 0.43355244 2.55504982 0.11739003 0.14441437 1.12464681 1.03771733 18.1930973 12 CACO1 90 3 3.24012654 1.03992091 13.0792318 0.31460028 0.64118415 6.75088746 2.46784814 39.5337993 12 CACO1 100 3 1.70683185 0.78103781 6.10607637 0.2 0.32183145 3.1629376 1.8 26.0787151 12 

CACR1 10 3 0.56641023 0.5225205 1.98303118 0.10091197 0.14435405 0.10563831 0.90800919 15.3308754 11 

CACR1 90 3 3.19960527 1.05222122 12.0380383 0.31727083 1.12167932 0.2845996 3.14536473 32.1587793 11 

CACR1 100 3 1.82709699 0.86901499 5.80587585 0.2 0.5 0.21499139 1.8 22.2169792 11 

CADI1 10 3 0.900777 0.68393956 2.63339392 0.12164784 0.23762098 0.18216599 1.03984784 16.7993931 11 

CADI1 90 3 3.39975193 0.7495486 10.4065783 0.2979573 0.93242614 0.37568731 2.60659931 29.7685489 11 

CADI1 100 3 1.86692798 0.84825821 5.71473864 0.2 0.5 0.29531325 1.8 22.2252381 11 

CANY1 10 5 0.35115059 0.30761464 0.66114239 0.10179616 0.13911106 0.02517417 0.53323082 11.1192198 9 

CANY1 90 5 0.58613895 0.83301325 3.90510269 0.33247874 1.04498094 0.09247046 3.55889154 19.3530766 9 CANY1 100 5 0.48267097 0.54798171 1.79040127 0.2 0.5 0.04559663 1.75479897 14.3214496 9 CAPI1 10 2 0.32774653 0.41683219 0.78276991 0.11410999 0.19938725 0.0504949 0.38919261 11.2805334 9 CAPI1 90 2 0.69469321 0.5488711 3.14866593 0.25803509 0.89270251 0.01647702 3.20703489 17.7664798 9 

CAPI1 100 2 0.52218545 0.58421243 1.76408163 0.2 0.5 0.03422639 1.45187086 14.0565768 9 

CEBL1 10 2 0.30365508 0.33468506 0.64182524 0.09585396 0.21353431 0.0575331 0.77186718 13.4189539 11 

CEBL1 90 2 1.40927822 0.96778104 3.40406261 0.31111398 0.92442125 0.18103031 3.10057687 21.2982643 11 CEBL1 100 2 0.76402376 0.72918099 1.76882847 0.2 0.5 0.12078328 1.8 16.8828165 11 CHAS1 10 3 1.32922543 0.72344763 2.85111577 0.12207987 0.29926014 0.07261825 1.40108951 17.7988366 11 

CHAS1 90 3 2.71823481 1.2012142 11.8367121 0.30472631 0.69583414 1.43258562 1.98405078 31.173358 11 CHAS1 100 3 2.1022653 0.98748581 5.82218634 0.2 0.5 0.55413182 1.8 22.9660693 11 CHER1 10 2 0.60094362 0.38612015 2.20909802 0.1044593 0.18699474 0.10362135 0.77714237 15.3683795 11 CHER1 90 2 2.41170446 1.01036121 14.4198587 0.31783118 0.88571789 0.21366065 3.03325065 33.2923847 11 CHER1 100 2 1.58754131 0.75209972 6.02238092 0.2 0.5 0.21194657 1.8 22.0739685 11 CHIR1 10 5 0.27060999 0.22605942 0.77073869 0.12756354 0.13307979 0.00846907 0.48814885 12.0246694 10 CHIR1 90 5 0.56586076 0.65026966 3.87344304 0.28458648 1.23904762 0.18629582 4.29841132 21.0979147 10 

CHIR1 100 5 0.45650182 0.41893619 1.78965382 0.2 0.5 0.07107913 1.8 15.236171 10 CLPE1 10 2 0.22978184 0.18774388 0.23287823 0.03979354 0.07568707 0.00156548 0.32277125 10.0902213 9 

CLPE1 90 2 1.0675479 1.07913869 5.60161241 0.51112287 0.78801874 0.15786555 3.08080462 21.2861108 9 

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CLPE1 100 2 0.60876855 0.59941402 1.85760869 0.2 0.32589428 0.0438335 1.38202347 14.0175425 9 

COGO1 10 3 0.43992011 0.33622541 0.72417146 0.11025096 0.12228305 0.28826132 0.48845516 14.5095675 12 

COGO1 90 3 1.67164134 2.26368794 3.39307948 0.291647 0.79170169 3.07126023 3.43687216 26.9198898 12 COGO1 100 3 1.05753081 1.1331435 1.78068335 0.2 0.40118315 1.27538588 1.8 19.6479267 12 COHI1 10 3 0.67859458 0.4191037 2.10845309 0.08886328 0.14424001 0.23959021 0.72310435 15.4019492 11 COHI1 90 3 3.85702413 1.20378411 11.9969715 0.34494032 0.85199393 0.43758888 2.41439098 32.1066939 11 COHI1 100 3 1.80980723 0.86676924 5.78938192 0.2 0.40231482 0.27492946 1.51629089 21.8594936 11 COHU1 10 2 0.75123289 0.75001597 2.0568139 0.10664381 0.14267716 0.1235675 0.48800472 15.4189559 11 

COHU1 90 2 4.0797923 0.84919934 11.3885515 0.3078832 1.01550671 0.30726647 2.12444446 31.072644 11 COHU1 100 2 2.06025315 0.92013697 5.80914483 0.2 0.5 0.19504059 1.3327857 22.0173612 11 

CORI1 10 3 0.48948132 0.23265912 0.75816054 0.12018672 0.19622091 0.20636185 0.69386336 14.6969338 12 CORI1 90 3 1.81089372 3.44890384 3.15293596 0.29874256 0.87113291 1.77575511 3.13460576 26.4929699 12 CORI1 100 3 1.07963627 1.239912 1.77632338 0.2 0.5 0.83039362 1.8 19.4262653 12 CRES1 10 2 0.33310524 0.30218854 0.64790403 0.10851707 0.21556989 0.01451666 0.65668191 12.2784833 10 CRES1 90 2 1.11450133 1.00941254 3.61664927 0.32257904 0.90947372 0.03428508 3.48007548 20.4869765 10 CRES1 100 2 0.69664595 0.67078568 1.78172321 0.2 0.49888314 0.05097348 1.8 15.6990115 10 CRLA1 10 3 0.24390122 0.21292854 0.23658089 0.10109035 0.07203332 0.10674298 0.13616215 10.1094395 9 CRLA1 90 3 1.85786571 2.25980586 6.23345236 0.45327577 0.87785774 0.17537701 2.48070091 23.3383354 9 CRLA1 100 3 0.98629981 0.99448849 1.99140919 0.2 0.39428263 0.16855395 1.00341575 14.7384498 9 CRMO1 10 4 0.34089009 0.3650481 0.5418339 0.07579868 0.11602907 0.03954559 0.41457285 11.8937183 10 CRMO1 90 4 0.82551866 1.04816174 3.97544944 0.36123649 1.19554684 0.06251522 4.04989233 21.5183207 10 CRMO1 100 4 0.60997172 0.7188518 1.79790859 0.2 0.49678916 0.04683478 1.75157432 15.6219304 10 DENA1 10 5 0.23765063 0.12433563 0.23292294 0.06294258 0.04613784 0.04947775 0.18582751 11.9392949 11 DENA1 90 5 1.12569619 0.60062817 7.28390333 0.48234336 0.30401329 0.60072194 1.40055411 22.7978604 11 DENA1 100 5 0.65430859 0.34598682 2.06500508 0.2 0.14124232 0.22855985 0.67455612 15.3096588 11 DEVA1 10 3 0.19461252 0.14217417 0.44920654 0.07674086 0.09987911 0.03170603 0.49809728 12.4924165 11 DEVA1 90 3 0.76800151 1.00222902 4.3656124 0.35579143 1.08245487 0.08707503 3.69714448 22.3583087 11 

DEVA1 100 3 0.49781805 0.50250446 1.8045058 0.2 0.5 0.06963595 1.8 16.3744643 11 

DOME1 10 4 0.16231705 0.1165031 0.50653317 0.08016551 0.07776791 0.05931889 0.26011527 11.2627209 10 DOME1 90 4 0.89198595 0.86978095 3.65190466 0.35725173 1.03961201 0.2157708 4.23664361 21.2629497 10 

DOME1 100 4 0.54140824 0.54835398 1.77497744 0.2 0.5 0.11547677 1.8 15.4802164 10 

DOSO1 10 5 0.7994877 0.38313421 2.35139314 0.10450841 0.1677868 0.06216817 0.57496359 14.443442 10 

DOSO1 90 5 3.17429781 1.18754594 10.495876 0.29260546 0.75029984 0.33717346 2.27886278 28.5166613 10 

DOSO1 100 5 1.88672816 0.82224666 5.74021215 0.2 0.42627465 0.13327056 1.3146891 20.5234213 10 ELDO1 10 2 0.71318647 0.51258226 2.1164801 0.10752464 0.21755501 0.15824455 0.74589886 15.5714719 11 

ELDO1 90 2 2.91943267 1.09319045 12.8622564 0.31634175 0.88365759 0.29499576 3.11417486 32.4840495 11 ELDO1 100 2 1.73014967 0.8095431 5.92858253 0.2 0.5 0.21164417 1.8 22.1799195 11 

ELLI1 10 2 0.25305331 0.35488631 0.76082288 0.11127754 0.18826104 0.07396161 0.89747938 13.6397421 11 

ELLI1 90 2 1.20541294 1.16148768 3.26643671 0.30914654 0.8905686 0.4344104 2.69421134 20.9616742 11 

ELLI1 100 2 0.73214211 0.70242191 1.77077239 0.2 0.5 0.17466683 1.8 16.8800032 11 EVER1 10 4 1.00828735 0.52061338 2.27775173 0.11822257 0.16175962 0.68220584 1.11702148 16.885862 11 

EVER1 90 4 1.73728256 0.90893874 21.6941304 0.33885095 1.06232145 3.83498485 2.5187151 43.0952241 11 

EVER1 100 4 1.45527495 0.68536638 6.93726745 0.2 0.5 1.78812097 1.8 24.3660297 11 

FLAT1 10 2 0.3186292 0.33127169 0.38479046 0.06448362 0.07313927 0.0320509 0.27033385 11.474699 10 

FLAT1 90 2 1.28542932 1.49574127 5.65900708 0.47754181 0.67430769 0.38803143 3.05507727 23.0351359 10 FLAT1 100 2 0.81729139 0.84122082 1.86680443 0.2 0.31034684 0.12112937 1.48080175 15.6375946 10 

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FOPE1 10 2 0.38218565 0.24514733 0.58991831 0.07098909 0.20985576 0.03683988 0.75400837 13.2889444 11 

FOPE1 90 2 1.04999222 1.09494536 4.16458497 0.37346371 0.8629224 0.27557479 3.66376365 22.4852471 11 

FOPE1 100 2 0.71379625 0.73663614 1.8261113 0.2 0.45825967 0.0958579 1.8 16.8306613 11 

GAMO1 10 4 0.24162065 0.2937851 0.36271609 0.05111801 0.07401416 0.01202489 0.29696672 10.3322456 9 

GAMO1 90 4 1.11794433 1.00574772 4.97504029 0.4520364 0.78628021 0.06344745 1.77825814 19.1787545 9 GAMO1 100 4 0.6629718 0.65180143 1.81683181 0.2 0.34953184 0.03639129 0.92881834 13.6463465 9 

GICL1 10 4 0.25953146 0.18901429 0.61997322 0.09796629 0.09015569 0.01084945 0.26927612 10.5367665 9 GICL1 90 4 0.57784763 0.69572011 4.46277564 0.41169582 1.21477629 0.15764808 3.5329953 20.0534589 9 GICL1 100 4 0.4696949 0.43274962 1.82769242 0.2 0.5 0.04178334 1.52649876 13.998419 9 

GLAC1 10 3 0.44540876 0.26036894 0.53926394 0.07550296 0.12473593 0.02327608 0.40239859 12.8709552 11 GLAC1 90 3 1.2639534 2.13078085 4.16057001 0.33090113 1.32285466 0.39680417 4.75338616 25.3592504 11 GLAC1 100 3 0.94153561 0.98659212 1.81704637 0.2 0.5 0.10716786 1.8 17.352342 11 

GRBA1 10 5 0.22357281 0.18628779 0.80202621 0.11430248 0.11409645 0.00355252 0.45390819 10.8977464 9 

GRBA1 90 5 0.68455252 0.66562202 3.24512036 0.30994442 1.114529 0.13303471 3.85663923 19.0094423 9 

GRBA1 100 5 0.44467949 0.46106968 1.76598184 0.2 0.48877942 0.0454273 1.66027262 14.0662103 9 

GRCA2 10 4 0.23878636 0.1890214 0.34691395 0.07616245 0.10389259 0.0168643 0.3523369 10.3239779 9 GRCA2 90 4 0.65775797 0.73681781 4.98512563 0.40730439 1.13155779 0.21334271 3.86261195 20.9945182 9 GRCA2 100 4 0.4810684 0.49229546 1.86570838 0.2 0.5 0.06237631 1.72838769 14.3298363 9 GRGU1 10 4 0.67050328 0.35432903 1.61154757 0.0819767 0.09615235 0.10284643 0.63134085 14.5486962 11 

GRGU1 90 4 4.51832714 1.07734655 13.3285308 0.37582229 0.52716891 0.10534833 3.29460167 34.2271457 11 GRGU1 100 4 1.83469324 0.81854605 5.56703484 0.2 0.24573273 0.17927918 1.58906297 21.434349 11 

GRRI1 10 2 0.77090729 0.25114617 2.34653538 0.10380054 0.21964881 0.15901604 0.89022319 15.7412774 11 

GRRI1 90 2 3.41106949 1.21960675 12.0849613 0.32641645 0.92131287 0.70067035 3.10844588 32.7724831 11 

GRRI1 100 2 1.69614014 0.77681141 5.79344764 0.2 0.46929867 0.3797276 1.8 22.1154255 11 

GRSA1 10 5 0.3417143 0.32203275 0.83423379 0.12063906 0.15031493 0.01061057 0.54260743 11.3221528 9 GRSA1 90 5 0.74845002 0.86431715 3.39286917 0.30636074 1.21746933 0.11597152 4.19593745 19.8413754 9 GRSA1 100 5 0.5931949 0.58126435 1.77617165 0.2 0.5 0.03842112 1.79635553 14.4854075 9 

GRSM1 10 5 0.78895398 0.59209542 2.28482866 0.10952201 0.1626774 0.09756485 0.88488025 15.9205226 11 

GRSM1 90 5 3.53673322 1.00333545 11.4089933 0.29979819 0.88349217 0.35299921 2.8578731 31.3432246 11 

GRSM1 100 5 2.04686505 0.93769613 5.79194655 0.2 0.48122167 0.16465618 1.75179967 22.3741852 11 

GUMO1 10 5 0.2659883 0.30110207 0.74052645 0.13557294 0.11885713 0.0115421 0.49068263 11.0642716 9 

GUMO1 90 5 0.79788259 0.88503306 3.12514274 0.23348391 1.26605688 0.14143758 4.38711094 19.8361477 9 

GUMO1 100 5 0.55922074 0.54976918 1.760917 0.2 0.5 0.05828274 1.8 14.4281897 9 

HALE1 10 4 0.28772018 0.24615452 0.69740196 0.06959162 0.11090908 0.7059501 0.95132034 13.0690478 10 

HALE1 90 4 0.87009998 1.16583699 2.95643321 0.35490361 0.36789283 2.65957854 2.73989781 21.114643 10 HALE1 100 4 0.69797757 0.65877077 1.67564887 0.2 0.22990845 1.42371974 1.75948053 16.6455059 10 HAVO1 10 4 0.19847296 0.28338742 0.77449338 0.10066719 0.05894652 0.68148162 0.38478261 12.4822317 10 HAVO1 90 4 1.67541063 1.32157857 1.96958519 0.34875584 0.255832 3.70258236 1.33939865 20.6131432 10 

HAVO1 100 4 0.84486978 0.79018022 1.31344486 0.2 0.15523467 1.86666333 0.85173512 16.022128 10 

HECA1 10 3 0.38416101 0.17216501 0.53735975 0.07699501 0.14235983 0.07215503 0.48449093 12.8696866 11 

HECA1 90 3 1.13520882 2.67225384 3.69258755 0.36767977 0.92465691 0.04846968 3.40150451 23.2423611 11 

HECA1 100 3 0.69999007 0.9294694 1.79013137 0.2 0.48355467 0.07214572 1.78363736 16.9589286 11 

HEGL1 10 3 0.70778793 0.51164912 2.28635174 0.1105939 0.16363599 0.11427386 1.11441624 16.0087088 11 

HEGL1 90 3 2.93576415 1.01137938 13.0562162 0.32363775 0.97078439 0.16793345 2.66203509 32.1277504 11 

HEGL1 100 3 1.76105617 0.83326774 5.91888184 0.2 0.5 0.15019393 1.8 22.1633997 11 HILL1 10 3 0.19643974 0.17844754 0.75053241 0.12231119 0.10932879 0.03044868 0.4355821 11.8230905 10 

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HILL1 90 3 0.61315418 0.7466745 3.44318469 0.28026902 1.12173038 0.21598092 4.07445677 20.4954504 10 

HILL1 100 3 0.41888577 0.43935466 1.7692298 0.2 0.5 0.10886243 1.8 15.2363327 10 HOOV1 10 3 0.21330606 0.16315365 0.23813301 0.05863464 0.06464141 0.00783724 0.3292332 10.0749392 9 

HOOV1 90 3 0.86138487 0.81780724 5.78188518 0.47131273 1.1493848 0.137553 4.70688397 22.9262118 9 

HOOV1 100 3 0.53884571 0.54573741 1.88817002 0.2 0.5 0.04091819 1.78398339 14.4976547 9 IKBA1 10 4 0.25860896 0.23756604 0.86596495 0.12621911 0.13710149 0.01836254 0.48189584 12.1257189 10 IKBA1 90 4 0.60488586 0.70588163 3.23437448 0.30435557 1.06938163 0.08619388 3.78776879 19.7928418 10 IKBA1 100 4 0.44374657 0.45998107 1.76487959 0.2 0.5 0.06241844 1.8 15.2310257 10 

ISLE1 10 5 0.71671546 0.14071275 0.96480434 0.05091096 0.08972448 0.09436394 0.47293698 14.5301689 12 

ISLE1 90 5 3.63045343 2.22682001 13.3391429 0.43767842 0.44881107 0.40098486 3.54691664 36.0308073 12 ISLE1 100 5 1.76785206 0.83838552 5.18705716 0.2 0.23960717 0.2055699 1.73320451 22.1716763 12 

JARB1 10 4 0.28521241 0.21091579 0.38498503 0.07339231 0.04591238 0.01036359 0.20061383 11.2113953 10 JARB1 90 4 0.78400365 0.93647923 4.20229722 0.37439386 1.34952432 0.36683367 4.33770424 22.3512362 10 

JARB1 100 4 0.54623398 0.55917484 1.81228384 0.2 0.5 0.1050504 1.8 15.5227431 10 

JARI1 10 4 0.81287643 0.46887526 2.07294155 0.0962091 0.19780662 0.05936205 0.8320632 15.5401342 11 

JARI1 90 4 3.18374418 1.10604032 11.4800172 0.29354516 0.81072626 0.24781421 2.75466181 30.8765492 11 

JARI1 100 4 1.77844196 0.79754768 5.77798911 0.2 0.48107133 0.11799887 1.8 21.953049 11 JOSH1 10 4 0.20916468 0.14141805 0.57324026 0.08262758 0.17140293 0.09209738 0.56583305 11.8357839 10 JOSH1 90 4 0.94294997 1.02926312 3.52622076 0.35677868 0.97661016 0.16416288 3.7340634 20.730049 10 JOSH1 100 4 0.55114797 0.55961123 1.76597062 0.2 0.5 0.13198453 1.8 15.5087144 10 KAIS1 10 2 0.15363129 0.06909059 0.34837215 0.09761031 0.07088785 0.0348573 0.24635031 10.0207998 9 KAIS1 90 2 1.03188069 1.01012201 4.2066589 0.32229486 0.88344646 0.34881868 3.72219251 20.5254141 9 

KAIS1 100 2 0.55708745 0.55503268 1.79873839 0.2 0.4420209 0.14561416 1.69168469 14.3901783 9 

KALM1 10 4 0.29930606 0.2332931 0.88705626 0.13433477 0.05072978 0.29429609 0.59462594 14.493642 12 

KALM1 90 4 1.62685748 1.852924 2.91927939 0.2424403 0.39521505 4.72225391 2.23458304 25.9935532 12 

KALM1 100 4 1.0017069 0.9593066 1.7763033 0.2 0.19760144 1.62112778 1.34575959 19.1018056 12 LABE1 10 4 0.26491445 0.30200456 0.39266287 0.06477923 0.05996985 0.03343316 0.27442807 11.3921922 10 LABE1 90 4 1.35134558 1.8612879 4.86331223 0.45328429 0.98635173 0.09726793 2.83287449 22.4457241 10 

LABE1 100 4 0.80826377 0.85307889 1.83684668 0.2 0.43704728 0.09281149 1.4164551 15.6445032 10 

LASU1 10 2 0.77218224 0.49360772 2.40918417 0.09273233 0.2275654 0.21000797 1.07780668 17.2830865 12 LASU1 90 2 3.15015801 1.1383794 11.5943758 0.3279661 0.78842394 0.43158415 2.59137289 32.0222603 12 

LASU1 100 2 1.75134773 0.82403074 5.78020624 0.2 0.49449481 0.33279211 1.8 23.1828716 12 

LAVO1 10 5 0.235786 0.16241709 0.33352571 0.05549141 0.07958011 0.05140404 0.14382312 11.0620275 10 

LAVO1 90 5 1.17613265 1.63472571 4.53182165 0.41977077 0.88718236 0.05277706 2.35279207 21.0552023 10 

LAVO1 100 5 0.69233267 0.70716046 1.81158402 0.2 0.44466915 0.06455448 1.08987658 15.0101774 10 

LIGO1 10 4 0.64533379 0.53558636 1.95868286 0.09223348 0.13959032 0.07304996 0.62271601 15.0671928 11 

LIGO1 90 4 4.00588903 1.08302451 11.0105244 0.31142658 0.83329789 0.27578773 2.52012524 31.0400754 11 LIGO1 100 4 2.06160578 0.88980343 5.77793752 0.2 0.44908029 0.16467323 1.55939464 22.1024949 11 LIVO1 10 3 0.78644442 0.64498812 2.72324781 0.11230644 0.229251 0.15738781 1.13096088 16.7845865 11 LIVO1 90 3 3.43904386 0.77210064 10.0245129 0.27771477 0.96706665 0.42912473 2.59815118 29.5077147 11 LIVO1 100 3 1.83399261 0.85025345 5.6937069 0.2 0.5 0.32119549 1.8 22.1991484 11 

LOST1 10 5 0.4207242 0.33692002 0.6612615 0.09701187 0.22316843 0.0310124 0.63286157 13.40296 11 

LOST1 90 5 1.05325972 1.10225578 3.79006369 0.36252863 0.94820361 0.52406 3.74350878 22.5238802 11 

LOST1 100 5 0.7590074 0.76779049 1.79127671 0.2 0.49547188 0.14735724 1.8 16.9609037 11 

LYBR1 10 5 0.39476609 0.25932861 1.02682248 0.05891233 0.08571301 0.04022702 0.37729551 13.243065 11 

LYBR1 90 5 4.82100205 1.41006224 14.8186958 0.44427396 0.66461012 0.08804641 2.01239899 35.2590896 11 

Page 5
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LYBR1 100 5 1.77120311 0.79749769 5.41713956 0.2 0.27879723 0.12808538 1.0723186 20.6650416 11 

MACA1 10 5 0.921109 0.69345384 2.53227197 0.12480188 0.23841812 0.07978311 0.92585393 16.5156918 11 

MACA1 90 5 4.50794592 0.75057163 10.6544322 0.28844085 0.97882001 0.18485745 2.31544043 30.6805085 11 MACA1 100 5 2.21346836 0.92911643 5.74610257 0.2 0.5 0.1119386 1.6372152 22.3378412 11 MAVI1 10 2 0.80981829 0.36800004 2.95043789 0.12467817 0.1698627 1.24700691 1.08527732 18.7550813 12 MAVI1 90 2 3.06490788 1.3303168 8.8078487 0.26564387 0.59548655 12.1372524 2.91697189 41.1184281 12 

MAVI1 100 2 1.72077633 0.78562072 5.62921711 0.2 0.3114576 4.49507408 1.8 26.9421459 12 

MEAD1 10 1 0.19197619 0.21550565 0.88200356 0.12629243 0.10961736 0.02853904 0.39681881 11.950753 10 MEAD1 90 1 0.61604432 0.5298778 2.96906966 0.27577066 1.09625847 0.16080078 3.9574827 19.6053044 10 MEAD1 100 1 0.40177372 0.40459626 1.75263569 0.2 0.5 0.06927563 1.8 15.1282813 10 MELA1 10 5 0.40297691 0.35207784 0.69531373 0.09736232 0.20362662 0.02487699 0.6774083 13.4536427 11 MELA1 90 5 1.09301544 0.98409012 3.96801948 0.35782393 0.9962358 0.04346581 3.91114928 22.3537999 11 

MELA1 100 5 0.73353549 0.75856425 1.80004028 0.2 0.47807194 0.04858268 1.8 16.8187946 11 MEVE1 10 5 0.36108527 0.35804324 0.67538402 0.1108211 0.16982807 0.00144372 0.40218721 11.0787926 9 

MEVE1 90 5 0.73196744 0.83301181 4.19493302 0.36396723 1.1637983 0.03979396 4.30151516 20.6289869 9 

MEVE1 100 5 0.5741337 0.58288651 1.83090734 0.2 0.5 0.01822192 1.72628044 14.4324299 9 

MING1 10 1 0.65502318 0.27772085 1.82464795 0.07960551 0.17449325 0 0.66337514 15.6748659 12 MING1 90 1 2.71671847 1.46908359 13.8306048 0.36052679 1.06703899 0 3.97564936 35.419622 12 

MING1 100 1 1.7757728 0.84024033 5.88225971 0.2 0.5 0.06152458 1.8 23.0597974 12 

MKGO1 10 3 0.79382493 0.4743005 2.13867507 0.08989338 0.19927099 0.20484301 0.8722698 15.7730777 11 MKGO1 90 3 3.72897872 1.18550309 10.5894665 0.30399543 0.83685664 0.88244129 2.80808827 31.33533 11 

MKGO1 100 3 1.96067387 0.89084225 5.73824736 0.2 0.4603082 0.41558643 1.8 22.4656581 11 

MOHO1 10 4 0.25001587 0.2233231 0.16092712 0.04346227 0.05156053 0.11043792 0.0881441 10.9278709 10 

MOHO1 90 4 1.90526617 2.30003298 5.60188408 0.47930919 0.75694561 0.21285958 2.6840313 23.9403289 10 

MOHO1 100 4 1.00721487 0.98865087 1.8636364 0.2 0.28674596 0.37535439 0.94921028 15.6708128 10 MOMO1 10 3 0.64117416 0.28173834 1.60369685 0.07981857 0.159666 0.15247035 0.5511574 14.4697217 11 

MOMO1 90 3 4.27530572 1.35247904 14.2693146 0.37218014 0.80175577 1.38819686 2.46834553 35.9275776 11 MOMO1 100 3 1.76340005 0.80348276 5.97784212 0.2 0.39577661 0.46667227 1.48804839 22.0952222 11 MONT1 10 4 0.34677767 0.32789773 0.52654901 0.08514733 0.08341368 0.01121523 0.22164575 11.6026464 10 

MONT1 90 4 1.04256306 1.22845169 4.48161332 0.38605301 1.18579297 0.01896997 3.88583824 22.2292823 10 MONT1 100 4 0.74068082 0.75387923 1.81593069 0.2 0.44042446 0.03599846 1.40356339 15.3904771 10 MOOS1 10 5 0.83994459 0.32516239 2.24568288 0.12446487 0.11956271 0.15441539 0.75137347 16.5606063 12 

MOOS1 90 5 4.04678213 1.71260038 11.6411028 0.35535838 0.39801112 1.50740409 2.34719409 34.0084529 12 

MOOS1 100 5 1.9045182 0.87291277 5.77910167 0.2 0.23221667 0.68445388 1.53362208 23.2068253 12 

MORA1 10 4 0.3443509 0.31173795 0.5193984 0.0640479 0.05687831 0.14072846 0.49585634 12.9329982 11 

MORA1 90 4 2.19535855 2.62346496 3.43678586 0.34380009 0.55024186 0.99104772 2.44711542 23.5878145 11 

MORA1 100 4 1.26215221 1.22678372 1.77767249 0.2 0.23730694 0.61126816 1.36001734 17.6752009 11 

MOZI1 10 4 0.31046799 0.24187456 0.46209031 0.08226913 0.08510331 0.01114724 0.36070661 9.55365915 8 

MOZI1 90 4 0.74566698 0.88144363 4.52701995 0.39050915 1.02816695 0.02393314 3.56944822 19.166188 8 

MOZI1 100 4 0.56739485 0.55160773 1.83612087 0.2 0.44601059 0.01795194 1.61605163 13.2351376 8 NEBR1 10 2 0.32042546 0.19775552 0.57383953 0.07024058 0.2146791 0.03341345 0.54121681 12.9515705 11 

NEBR1 90 2 1.42434317 1.23310402 3.82078742 0.37491749 0.86266948 0.13476886 3.6426105 22.4932009 11 NEBR1 100 2 0.76887125 0.73599805 1.77884423 0.2 0.5 0.07291225 1.8 16.8566258 11 NOAB1 10 3 0.26620386 0.2314751 0.45507715 0.04838267 0.1067629 0.01593181 0.49100505 10.6148385 9 

NOAB1 90 3 0.81358151 0.75140877 4.62217835 0.44124809 0.92322915 0.03161644 3.43520056 20.0184629 9 

NOAB1 100 3 0.57512867 0.56843672 1.80961508 0.2 0.42984601 0.02869387 1.7067314 14.3184518 9 

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NOCA1 10 2 0.29299483 0.3343582 0.30322547 0.04404246 0.03636698 0.07003707 0.17276437 12.2537894 11 

NOCA1 90 2 1.97214818 1.97308074 4.66837574 0.42459001 0.62800539 0.03895534 1.83716557 22.542321 11 

NOCA1 100 2 1.02644354 0.99372976 1.80623055 0.2 0.22159754 0.10664986 0.73314176 16.087793 11 

NOCH1 10 2 0.23526001 0.23153912 0.3918968 0.06207928 0.18345857 0.00526301 0.48366285 11.5931596 10 NOCH1 90 2 0.9543328 0.81619857 5.83847144 0.5249823 0.91020626 0.07371841 3.77345565 22.8913654 10 NOCH1 100 2 0.61558026 0.61313379 1.89172667 0.2 0.46258089 0.03073958 1.71491302 15.5286742 10 

OKEF1 10 5 1.22102703 0.72604679 2.73639224 0.12507204 0.22225666 0.21026902 1.01489214 17.2559559 11 

OKEF1 90 5 3.33691049 1.27723775 11.9645949 0.31869307 0.80318853 1.33269558 2.47177498 32.5050953 11 

OKEF1 100 5 2.16035565 1.0106255 5.87313806 0.2 0.5 0.58806666 1.8 23.1321859 11 

OLTO1 10 2 0.70707645 0.20580625 2.0796541 0.09815257 0.20272297 0.26671953 0.82488233 16.3850142 12 OLTO1 90 2 3.24074931 1.71922978 12.6079571 0.346481 0.87981203 2.17879632 3.40804006 36.3810656 12 OLTO1 100 2 1.80435429 0.82647912 5.87158282 0.2 0.459107 0.96528092 1.8 23.9268042 12 OLYM1 10 3 0.38868098 0.33573896 0.66182875 0.09125328 0.0348221 0.31263409 0.29742507 13.1223832 11 

OLYM1 90 3 1.52828227 2.04077299 3.05204251 0.28607443 0.25803207 3.39237871 1.93823928 23.4958223 11 OLYM1 100 3 1.05325716 1.05457886 1.770884 0.2 0.15319998 1.09002822 1.12587804 17.4478263 11 

OMAH1 10 1 0.77632711 0.33626049 2.29243094 0.10179622 0.21208088 0.30997861 0.84952184 15.8783961 11 

OMAH1 90 1 2.83792348 0.85564953 12.2146415 0.32197601 0.97904512 0.40298422 3.2423524 31.8545723 11 

OMAH1 100 1 1.70125178 0.80656939 5.78656203 0.2 0.5 0.39750721 1.8 22.1918904 11 

ORPI1 10 2 0.2104216 0.25510336 0.92399454 0.13103274 0.17950455 0.12573403 0.69820173 13.5239925 11 

ORPI1 90 2 0.58539932 0.59827116 2.86185978 0.24070482 1.07359284 0.76446416 3.88307008 21.0073622 11 

ORPI1 100 2 0.3995984 0.39146595 1.75461425 0.2 0.5 0.33064614 1.8 16.3763247 11 PASA1 10 4 0.38791836 0.33778817 0.20219787 0.03814868 0.07018625 0.06239896 0.14117495 11.2398133 10 

PASA1 90 4 1.70375105 2.17190642 5.90754838 0.55219214 0.80866834 0.20495161 2.24506138 23.5940793 10 

PASA1 100 4 1.03470362 1.07893899 1.87580713 0.2 0.33033698 0.1173682 0.89896938 15.5361243 10 

PEFO1 10 5 0.28099692 0.30970864 0.79650826 0.14253107 0.15354255 0.00555533 0.45241545 11.1412582 9 PEFO1 90 5 0.60253804 0.56517519 3.85406432 0.25316029 1.12462346 0.13032253 4.29505981 19.8249436 9 PEFO1 100 5 0.47806915 0.47397736 1.83512757 0.2 0.5 0.03591457 1.8 14.3230886 9 PHOE1 10 3 0.3305009 0.19306334 0.85193842 0.1079792 0.29199071 0.17448887 0.98705 13.9370114 11 PHOE1 90 3 0.41826329 1.10631491 3.80853792 0.35966256 0.65871025 0.83068907 2.44341497 20.625593 11 PHOE1 100 3 0.38392532 0.43288557 1.7705459 0.2 0.5 0.45969109 1.8 16.5470479 11 PINN1 10 4 0.4176093 0.32350852 0.88806186 0.11823084 0.16372471 0.33841465 0.89817246 14.1477223 11 PINN1 90 4 1.0459309 1.29470119 2.80686233 0.25875748 0.55980705 2.74180049 2.65294041 22.3607998 11 PINN1 100 4 0.74379077 0.76812088 1.76610667 0.2 0.35339683 1.04404895 1.8 17.6754641 11 

PMRF1 10 3 0.57005942 0.24555292 2.04162251 0.08695334 0.08835038 0.14404007 0.55555098 14.7321296 11 

PMRF1 90 3 4.80393375 1.46483479 12.9154241 0.37517695 0.66024429 0.2937027 2.14030656 33.6536232 11 

PMRF1 100 3 1.8026418 0.79771504 5.85901668 0.2 0.28272216 0.27658124 1.26725264 21.4859296 11 PORE1 10 3 0.75922877 0.29306895 0.9561538 0.13186991 0.12526957 1.37441829 0.64923298 16.2892423 12 PORE1 90 3 0.81022316 0.93072723 2.17032467 0.17162 0.37826582 29.6724385 3.34293732 49.4765367 12 

PORE1 100 3 0.7740164 0.82792562 1.84804658 0.2 0.24254669 11.9462823 1.8 29.6388176 12 

PRIS1 10 3 0.71973964 0.26817096 2.0450851 0.1176661 0.20712644 0.20323242 0.80764207 16.3686627 12 PRIS1 90 3 3.94809334 1.82137996 12.6747202 0.32794757 0.90004235 0.78264639 3.05280947 35.5076393 12 

PRIS1 100 3 1.8395039 0.83866304 5.85988741 0.2 0.49769464 0.46556476 1.8 23.5013138 12 

PUSO1 10 3 0.60871924 0.40622565 0.79020024 0.13713033 0.24257297 0.55031315 1.01621664 15.7513782 12 PUSO1 90 3 1.73587598 2.35480726 3.32542136 0.28327118 0.72758008 6.0123849 2.21834416 28.6576849 12 

PUSO1 100 3 1.08390485 1.12256446 1.77319473 0.2 0.48961607 2.23572524 1.8 20.7050053 12 

QUCI1 10 3 0.76891082 0.58487725 2.66763029 0.11450649 0.22298024 0.12174073 0.97223626 16.4528821 11 

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QUCI1 90 3 3.64777319 0.73398322 10.3655835 0.28638739 0.92530841 0.78154089 2.5783708 30.3189474 11 

QUCI1 100 3 1.87593142 0.84739031 5.71601968 0.2 0.48629461 0.28589007 1.8 22.2115261 11 

QURE1 10 3 0.62597555 0.21894091 1.83478144 0.08023304 0.12119049 0.2291263 0.71838261 14.8286303 11 

QURE1 90 3 4.06185616 1.65086759 14.8310247 0.38373438 0.82749172 0.39448611 2.52972417 35.6791848 11 QURE1 100 3 1.74709552 0.79094042 6.06226838 0.2 0.36835592 0.30113612 1.61202151 22.0818179 11 QUVA1 10 3 0.28255087 0.17140196 0.98169435 0.13180172 0.19168218 0.05222851 0.67511904 13.4864786 11 QUVA1 90 3 0.52756925 0.96553353 2.87343532 0.2655086 0.92886547 0.30112103 3.49880783 20.360841 11 

QUVA1 100 3 0.41984738 0.45462238 1.75710177 0.2 0.5 0.12867285 1.8 16.2602444 11 

RAFA1 10 2 0.23443425 0.26672543 0.60444141 0.09697649 0.10861051 0.2385904 0.4025416 11.9523201 10 

RAFA1 90 2 1.17972556 1.03416357 3.35723705 0.30261411 0.94334096 1.72089538 3.3821379 21.9201145 10 

RAFA1 100 2 0.74320588 0.71100184 1.77843459 0.2 0.5 0.80301132 1.8 16.5356536 10 REDW1 10 5 0.53958429 0.33273252 0.81199355 0.12169125 0.05717419 0.72102425 0.60940066 14.1936007 11 REDW1 90 5 1.68994325 2.0013322 2.53212071 0.2130694 0.26851897 19.9570491 3.44584828 41.1078819 11 REDW1 100 5 1.13703358 1.05903123 1.79397714 0.2 0.16102408 7.16876547 1.8 24.3198315 11 

ROMA1 10 5 1.15165801 0.5509771 2.60687945 0.1115847 0.24211637 0.27372072 1.1928886 18.1298249 12 ROMA1 90 5 2.3644386 1.22237861 11.1210681 0.28709967 0.73624197 4.0009374 2.55297685 34.2851412 12 

ROMA1 100 5 1.92952504 0.88439642 5.84894243 0.2 0.44810669 1.29813833 1.8 24.4091089 12 ROMO1 10 5 0.2079917 0.11277378 0.41167781 0.05203574 0.09264218 0.00286175 0.408372 10.288355 9 ROMO1 90 5 0.9318747 0.95373903 4.29634292 0.38968397 1.14436089 0.01159133 4.07674057 20.8043334 9 ROMO1 100 5 0.57233888 0.54979057 1.80320756 0.2 0.5 0.01778867 1.7378523 14.380978 9 SACR1 10 4 0.23890856 0.29483829 0.89374843 0.13770376 0.16502935 0.0550567 0.59718139 12.3824665 10 SACR1 90 4 0.77667927 0.76707019 2.97281743 0.25613714 0.9829501 0.19668906 4.08619296 20.0385361 10 

SACR1 100 4 0.50468707 0.51244005 1.7603775 0.2 0.5 0.1336846 1.8 15.4111892 10 

SAFO1 10 2 0.77737951 0.45809924 2.06655509 0.08826514 0.25214356 0.17718352 1.13523671 15.9548628 11 

SAFO1 90 2 2.71263408 1.11502383 12.4744033 0.31034834 0.71157391 0.90348678 2.47172688 31.6991971 11 SAFO1 100 2 1.64472741 0.7716184 5.86635928 0.2 0.5 0.39246339 1.8 22.1751685 11 

SAGA1 10 3 0.1605429 0.18575752 0.43569621 0.06165538 0.13921285 0.07083018 0.40213976 10.4558348 9 SAGA1 90 3 1.00122586 1.24133055 3.66292437 0.34273966 0.78139624 0.46210006 4.17247187 20.6641886 9 SAGA1 100 3 0.6305877 0.62153181 1.78903712 0.2 0.5 0.18274175 1.8 14.7238984 9 SAGO1 10 4 0.1500131 0.09989351 0.43506127 0.07005175 0.10466224 0.09390297 0.37005232 11.3236372 10 SAGO1 90 4 0.97187827 0.88999746 3.60050939 0.34627462 0.91886947 0.22211834 3.92605271 20.8757003 10 SAGO1 100 4 0.5548527 0.5535788 1.7697459 0.2 0.5 0.21227669 1.8 15.5904541 10 

SAGU1 10 3 0.27312857 0.20193956 0.91507346 0.13163354 0.22208749 0.0806037 0.69065576 12.5151221 10 

SAGU1 90 3 0.50162081 0.87654792 3.15448688 0.27149424 0.88659939 0.30369791 3.34860425 19.3430514 10 

SAGU1 100 3 0.39799323 0.40893426 1.76397427 0.2 0.5 0.14518115 1.8 15.2160829 10 SAMA1 10 2 1.12996573 0.65560257 2.32746502 0.09516974 0.23601289 0.12445108 1.29981572 16.8684827 11 SAMA1 90 2 2.98740629 1.33696456 12.7159543 0.35348916 0.93932564 0.6582708 2.54951566 32.5409265 11 SAMA1 100 2 2.10803264 0.99358151 5.89441516 0.2 0.5 0.25245217 1.8 22.7484815 11 

SAPE1 10 4 0.26380018 0.22544362 0.40646365 0.09813573 0.09346335 0.01905333 0.20572147 9.31208134 8 

SAPE1 90 4 0.69847852 0.8018363 4.01702901 0.34007523 1.16444101 0.11796738 3.02401702 18.1638445 8 SAPE1 100 4 0.52180192 0.50775555 1.80744768 0.2 0.5 0.04152602 1.3120935 12.8906247 8 SAWE1 10 3 0.29095645 0.21631851 1.11266742 0.15153713 0.23347514 0.09467158 0.74916782 12.848794 10 SAWE1 90 3 0.51759589 0.89939453 2.73658951 0.25254014 0.90365329 0.3827599 3.26821219 18.9607455 10 

SAWE1 100 3 0.40131957 0.42553161 1.75442453 0.2 0.5 0.20574778 1.8 15.2870235 10 

SAWT1 10 4 0.29520005 0.26191601 0.64910543 0.08144165 0.102752 0.01629807 0.22262753 11.6293407 10 SAWT1 90 4 0.8097715 0.69714158 3.93841799 0.38232577 0.94063924 0.13025984 2.39095922 19.2895151 10 

Page 8
natural

SAWT1 100 4 0.57516355 0.46381498 1.79338447 0.2 0.41182432 0.04214286 0.98530593 14.4716361 10 

SENE1 10 5 0.63764871 0.1225191 1.08283767 0.0556611 0.09158103 0.07816389 0.48119185 14.5496034 12 

SENE1 90 5 4.66309044 2.26535984 14.1057791 0.45385181 0.53133781 0.0468224 2.21704906 36.2832905 12 SENE1 100 5 1.87633587 0.8696575 5.74930501 0.2 0.25934604 0.11718759 1.17034093 22.2421729 12 SEQU1 10 3 0.17692651 0.17509899 0.5715012 0.08203927 0.08439864 0.16980837 0.46141434 12.7211873 11 

SEQU1 90 3 0.86650187 1.34032456 2.84304099 0.31104927 0.90249011 0.83462453 3.17843128 21.2764626 11 SEQU1 100 3 0.58031029 0.65387258 1.75723849 0.2 0.5 0.25755666 1.8 16.748978 11 

SHEN1 10 5 0.55701225 0.55369515 1.63632186 0.08378234 0.14487411 0.06372662 0.71778664 13.757199 10 SHEN1 90 5 3.57428296 0.61176224 13.7010498 0.34359773 0.83113429 0.17328408 3.02031233 32.2554234 10 SHEN1 100 5 1.82286032 0.79193875 5.96166627 0.2 0.40860272 0.12283466 1.72822013 21.0361228 10 

SHRO1 10 2 0.3595163 0.39756675 1.29932312 0.0654868 0.14740433 0.04345066 0.1153785 12.4281265 10 

SHRO1 90 2 4.41176098 1.27331676 12.7867145 0.37214418 0.9335092 0.36021094 1.90034979 32.0380064 10 SHRO1 100 2 2.12708507 0.92566234 5.84329779 0.2 0.5 0.18747744 0.84125395 20.6247766 10 SIAN1 10 4 0.26943381 0.25703679 0.95618473 0.16751512 0.13648903 0.03147973 0.44007457 12.2582138 10 SIAN1 90 4 0.6046207 0.61339804 2.96600729 0.24566358 1.12552631 0.08385263 4.12332477 19.7623933 10 SIAN1 100 4 0.44996597 0.44961463 1.7689815 0.2 0.5 0.05330407 1.8 15.2218662 10 SIKE1 10 2 0.90640968 0.68118332 2.77708111 0.13005399 0.15975369 0.1892922 0.90409714 16.7478711 11 

SIKE1 90 2 3.37177945 1.56699934 11.4784648 0.31001914 0.84887501 0.69019743 2.60443998 31.8707752 11 

SIKE1 100 2 2.07633035 0.98042062 5.80030634 0.2 0.5 0.38492521 1.8 22.7419825 11 

SIME1 10 3 0.76079599 0.60628901 0.71759603 0.15007613 0.04000087 2.04702622 0.71053116 17.0323154 12 

SIME1 90 3 1.75779223 1.66759205 2.64401809 0.23733768 0.21457252 27.5042457 3.15343414 49.1789925 12 

SIME1 100 3 1.28088067 1.20517084 1.45631676 0.2 0.12687163 10.2354028 1.8 28.3046427 12 

SIPS1 10 4 0.90586001 0.85012691 2.37968654 0.11477899 0.24603878 0.08455277 0.99335517 16.5743992 11 SIPS1 90 4 3.27982478 0.98566012 10.8258275 0.30923623 0.77430799 0.71686326 2.43047837 30.3221982 11 

SIPS1 100 4 1.9548502 0.88676977 5.74832884 0.2 0.5 0.25373716 1.8 22.343686 11 

SNPA1 10 4 0.41197399 0.3135622 0.42546424 0.09215586 0.05436266 0.15977703 0.18262117 12.6399171 11 

SNPA1 90 4 2.00516145 2.61756581 4.44648452 0.36998242 0.52766528 0.9705841 1.6873887 23.6248323 11 

SNPA1 100 4 1.1896674 1.26764337 1.79951913 0.2 0.22699565 0.54054872 0.77984603 17.0042203 11 

SPOK1 10 3 0.51898402 0.33135031 0.69486114 0.10475195 0.18827276 0.08701857 0.66257593 13.5878147 11 

SPOK1 90 3 1.49417191 2.78866581 3.76591761 0.36465683 0.81297469 0.26750683 2.49251686 22.9864105 11 SPOK1 100 3 0.94254178 1.08810354 1.784359 0.2 0.5 0.17430444 1.8 17.4893088 11 STAR1 10 4 0.37598563 0.17435357 0.49015102 0.06609054 0.10070607 0.10003692 0.29850768 11.6058314 10 

STAR1 90 4 1.2955298 2.9129632 4.02733848 0.38407636 1.22333883 0.64877316 4.32517501 24.8171948 10 STAR1 100 4 0.87744593 1.06827694 1.80162848 0.2 0.5 0.28600758 1.79114299 16.5245019 10 

SULA1 10 4 0.27443514 0.24452802 0.35177304 0.05688467 0.07115915 0.00719737 0.18832651 11.1943039 10 SULA1 90 4 1.0960922 1.12019411 4.83811678 0.42891696 0.91194916 0.26732951 2.69641084 21.3590096 10 SULA1 100 4 0.70867724 0.72728827 1.81625087 0.2 0.38503614 0.07303061 1.07481823 14.9851014 10 SWAN1 10 2 0.92474958 0.50595638 2.40139353 0.11557453 0.19692987 0.13248829 1.31487174 17.5919639 12 SWAN1 90 2 2.55053352 1.3091495 13.3905707 0.33057273 0.72026714 1.38104778 2.14185841 33.8239998 12 SWAN1 100 2 1.67623005 0.7780884 5.93172705 0.2 0.43414286 0.78167948 1.8 23.6018678 12 SYCA1 10 4 0.29141862 0.29353978 0.81092355 0.14115379 0.11501779 0.01897052 0.37125028 11.0422743 9 SYCA1 90 4 0.58306785 0.64350472 3.06168586 0.24404074 1.23644299 0.18473288 4.77618185 19.7296569 9 SYCA1 100 4 0.50964966 0.51544733 1.76539165 0.2 0.5 0.0878411 1.8 14.3783297 9 TALL1 10 2 0.61501122 0.44672445 1.59758979 0.07801586 0.20744018 0.10733445 0.93177281 14.9838888 11 

TALL1 90 2 2.71040666 0.99056692 18.834704 0.36616126 0.81189684 0.2059301 2.76964813 37.689314 11 

TALL1 100 2 1.62219273 0.76232968 6.54136034 0.2 0.5 0.17156598 1.8 22.5974487 11 

Page 9
natural

THBA1 10 1 0.41213754 0.20833408 0.66591865 0.08804771 0.20085702 0.02069348 0.55829789 12.1542864 10 

THBA1 90 1 0.93471676 1.49628411 3.6471737 0.28949824 0.84447468 0.06512256 3.1214345 20.3987045 10 THBA1 100 1 0.64595323 0.63591926 1.78716382 0.2 0.5 0.02732252 1.8 15.5963588 10 

THRO1 10 4 0.43887372 0.31463241 0.77013076 0.10396582 0.2081505 0.04114166 0.70128524 13.5781801 11 

THRO1 90 4 0.9987874 1.03884701 3.81466438 0.31428326 0.95700868 0.29588376 3.69574571 22.1152202 11 

THRO1 100 4 0.74090563 0.73680377 1.80031657 0.2 0.5 0.09063443 1.8 16.8686604 11 THSI1 10 5 0.23847795 0.22962442 0.2316392 0.03797007 0.03299286 0.10779345 0.18580681 12.0643048 11 THSI1 90 5 2.01307009 2.3168854 4.97258958 0.43782126 0.64688032 0.45274309 2.84407878 24.6840685 11 

THSI1 100 5 1.11723751 1.11095358 1.85242543 0.2 0.25937921 0.39003595 1.18718335 17.117215 11 

TONT1 10 3 0.30381598 0.25715268 0.93717177 0.14200855 0.16204658 0.02016423 0.50873439 12.3310942 10 TONT1 90 3 0.52913376 0.67253273 3.0172411 0.26763457 1.07242117 0.12572945 3.94666479 19.6313576 10 TONT1 100 3 0.42949569 0.4329346 1.76154511 0.2 0.5 0.05951942 1.8 15.1834948 10 

TRCR1 10 3 0.27879718 0.16843286 0.22514479 0.09296901 0.05081287 0.06233797 0.2414604 13.1199551 12 

TRCR1 90 3 1.79312119 1.10717135 5.94667802 0.39929761 0.3008589 0.53813696 1.7169325 23.8021965 12 

TRCR1 100 3 0.88451445 0.5433158 1.8889363 0.2 0.15189242 0.28873818 0.91415157 16.8715487 12 TRIN1 10 3 0.26047361 0.21467789 0.38750777 0.06280611 0.06080651 0.09830169 0.21202431 11.2965979 10 TRIN1 90 3 1.54233981 2.62636477 5.33609173 0.4986897 0.86346965 0.43427609 2.54318769 23.8444194 10 TRIN1 100 3 0.84820392 0.91367782 1.89394318 0.2 0.4091167 0.27634254 1.17373665 15.7150208 10 

TUXE1 10 3 0.30436668 0.35711367 0.26129479 0.06476195 0.03264564 0.3814254 0.31219678 13.7138049 12 TUXE1 90 3 1.79038608 1.57704859 5.48101078 0.33579441 0.14104714 8.89230725 2.48260303 32.7001973 12 

TUXE1 100 3 0.96210058 0.86843097 1.97760347 0.2 0.09852335 2.67237755 1.23790115 20.0169371 12 

ULBE1 10 4 0.28115694 0.18234605 0.50015198 0.0875493 0.15302152 0.02704655 0.55746042 12.7887328 11 

ULBE1 90 4 0.97726742 1.45952237 4.49688139 0.38398788 0.95264142 0.00321722 3.91757254 23.1910902 11 ULBE1 100 4 0.63882864 0.65905502 1.83947253 0.2 0.45435133 0.01607573 1.8 16.6077832 11 

UPBU1 10 5 0.6449152 0.47628517 2.0031984 0.09806658 0.15677597 0.05232117 0.79685846 15.2284209 11 

UPBU1 90 5 3.35225551 0.70993229 12.4714168 0.31873155 1.07267132 0.25509252 3.36076766 32.5408677 11 UPBU1 100 5 1.77994877 0.83923795 5.85689164 0.2 0.5 0.16089866 1.8 22.136977 11 VIIS1 10 4 0.99779111 0.39903444 0.58541896 0.13366147 0.11585841 1.42237702 0.91522825 15.5693697 11 

VIIS1 90 4 1.48341111 0.94776303 1.74401655 0.27780966 1.39471432 9.40359096 3.27671965 29.5280253 11 

VIIS1 100 4 1.26479854 0.59577914 1.03566943 0.2 0.5 4.56865314 1.8 20.9649002 11 

VILA1 10 2 0.8877681 0.52847423 2.35581096 0.09696296 0.24491862 0.20791682 1.01963364 16.3414853 11 

VILA1 90 2 2.9765063 1.05454351 12.2802048 0.34028054 0.74674671 0.53399018 2.68195227 31.6142243 11 VILA1 100 2 1.68441167 0.79250091 5.82484423 0.2 0.5 0.45236739 1.8 22.2541242 11 VOYA2 10 5 0.80459092 0.14847667 1.63122135 0.07022897 0.09967445 0.07880057 0.51525625 15.3482492 12 VOYA2 90 5 2.65134328 1.5024398 14.1131526 0.39561436 0.49922312 0.61624363 3.47558358 35.2536004 12 VOYA2 100 5 1.58085103 0.75471533 5.88644121 0.2 0.25597323 0.2649234 1.63854224 22.5814464 12 WARI1 10 1 0.31908156 0.2520371 0.9797578 0.11914488 0.17714318 0.1512166 0.43093011 12.4293112 10 WARI1 90 1 0.72844167 1.75478288 2.68098911 0.30892568 0.94239666 0.726351 3.71849472 20.8603817 10 WARI1 100 1 0.53517771 0.66623127 1.75568782 0.2 0.5 0.27758181 1.8 15.7346786 10 WASH1 10 5 0.86506749 0.39121136 2.34692986 0.12815161 0.28916162 0.16688591 1.19015141 17.3775593 12 WASH1 90 5 2.5864777 1.32007665 11.4737669 0.2832271 0.79711458 2.29274948 2.50992497 33.2633374 12 WASH1 100 5 1.68288696 0.77456232 5.77760779 0.2 0.5 0.80319704 1.8 23.5382541 12 

WEMI1 10 4 0.31322774 0.24005263 0.67557926 0.12995549 0.13175575 0.02040428 0.52728966 11.0382648 9 WEMI1 90 4 0.71597957 0.89081525 3.7331082 0.27069811 1.19744374 0.14322719 3.29541032 19.2466824 9 WEMI1 100 4 0.53857433 0.53169167 1.80417937 0.2 0.48744205 0.05087629 1.55654704 14.1693108 9 

WHIT1 10 3 0.21812082 0.15912113 0.68193127 0.11556194 0.08307366 0.03486755 0.39948998 10.6921663 9 

Page 10
natural

WHIT1 90 3 0.74249659 0.98171727 3.71503143 0.31022519 1.18775498 0.22455043 4.34776988 20.5095458 9 

WHIT1 100 3 0.49890033 0.48527863 1.81567827 0.2 0.5 0.10836402 1.8 14.4082212 9 WHPA1 10 4 0.23101089 0.17415841 0.17466 0.04216564 0.03679418 0.08082696 0.12375563 10.8633717 10 

WHPA1 90 4 1.965048 2.42465236 5.70057138 0.48356875 0.62643551 0.51464619 1.91968226 23.6346045 10 WHPA1 100 4 1.05284072 1.05581043 1.85698516 0.2 0.23170724 0.26926208 0.73567014 15.4022758 10 

WHPE1 10 3 0.23943906 0.19215772 0.4507926 0.08302652 0.08176733 0.01000227 0.40474069 9.46192619 8 

WHPE1 90 3 0.75198789 0.83548661 4.2009815 0.40356744 1.17655861 0.49262185 3.21087635 19.0720802 8 

WHPE1 100 3 0.56026344 0.53221326 1.83083859 0.2 0.5 0.11813255 1.37672628 13.1181741 8 WHRI1 10 4 0.22710122 0.19261931 0.40410297 0.10508934 0.07857036 0.00517174 0.21581 9.22846494 8 

WHRI1 90 4 0.8622699 0.85667725 4.56052375 0.35104016 1.19081311 0.01813169 2.99149298 18.8309488 8 

WHRI1 100 4 0.56608249 0.54213775 1.81551539 0.2 0.47567417 0.0154731 1.27375385 12.8886368 8 

WICA1 10 5 0.31717612 0.24370335 0.57784349 0.09990614 0.19494678 0.0101094 0.63223385 12.0759191 10 

WICA1 90 5 1.09326154 1.21483999 4.40098281 0.39544096 0.97273521 0.02792994 3.79859774 21.9037882 10 

WICA1 100 5 0.69299636 0.67686623 1.80547557 0.2 0.48821203 0.02863914 1.78501692 15.6772062 10 

WIMO1 10 3 0.22249288 0.27475326 0.79874038 0.10160998 0.15442941 0.07023919 0.9144949 13.53676 11 WIMO1 90 3 1.221149 1.16610346 3.19679627 0.2946297 1.14548807 0.21444383 3.14637308 21.3849834 11 WIMO1 100 3 0.73185888 0.7160993 1.76536534 0.2 0.5 0.14762023 1.8 16.8609438 11 

YELL2 10 5 0.32513937 0.29255763 0.47843514 0.06780887 0.08187641 0.00242208 0.19847832 10.4467178 9 

YELL2 90 5 0.75583687 0.63036653 4.61471331 0.43005318 1.01770567 0.03254128 2.98891551 19.4701324 9 

YELL2 100 5 0.59318586 0.59899083 1.82530198 0.2 0.41014945 0.02140057 1.15239824 13.8014269 9 YOSE1 10 5 0.17869125 0.12806035 0.27996306 0.04133638 0.08051612 0.03677709 0.2994493 11.0447935 10 YOSE1 90 5 0.85670313 1.24300232 4.73551959 0.45167551 0.86466391 0.11534886 3.6537712 21.9206845 10 

YOSE1 100 5 0.55845189 0.61812257 1.82230108 0.2 0.44100787 0.11693841 1.8 15.5568218 10 ZICA1 10 1 0.24274032 0.34572893 0.80691365 0.09962162 0.10083736 0.02368245 0.36018461 11.9797089 10 

ZICA1 90 1 0.66902585 0.83920974 3.23825074 0.30749496 1.01942635 0.06928702 3.56093876 19.7036334 10 ZICA1 100 1 0.45683559 0.50730681 1.76141386 0.2 0.5 0.03812781 1.8 15.2636841 10 

ZION1 10 3 0.24760278 0.23944535 0.76260377 0.13059004 0.14386162 0.01902311 0.60426567 12.1473923 10 

ZION1 90 3 0.60942907 0.81613659 3.75719502 0.29891344 1.12853936 0.01596496 3.76791993 20.3940984 10 

ZION1 100 3 0.46018559 0.56494048 1.78185632 0.2 0.5 0.01889893 1.8 15.3258813 10 

Page 11
substitute_sites

site Group _FREQ_

NIA_ Ammonium_ Sulfate

_

Ext

NIA_ Ammonium_ Nitrate

_

Ext

NIA_ Organic_ext

NIA_ Elemental_ Carbon

_

Ext

NIA_ Fine_Soil_ Ext

NIA_ Sea_Salt_ Ext

NIA_ Coarse

_

Ext

NIA_ Natural

_

Ext ss

_

rayleigh Na

BALD1 10 4 0.25569945 0.20639965 0.53516675 0.10263491 0.11033094 0.00244611 0.31852216 10.5312 9 0BALD1 90 4 0.58768595 0.64515678 4.29692784 0.3717702 1.05463839 0.08865331 3.56750066 19.6123331 9 6.BALD1 100 4 0.46830662 0.43423267 1.77473298 0.1907539 0.5 0.02981529 1.6933533 14.0911948 9 3.BOWA1 10 5 0.7473107 0.15239305 1.45510235 0.06957538 0.12542745 0.05141862 0.51500407 14.1162316 11 3.BOWA1 90 5 3.11420216 1.75553232 13.3683877 0.39407523 0.5983781 0.11459545 3.06668448 33.4118554 11 11BOWA1 100 5 1.64780859 0.78056745 5.70152565 0.2 0.31318082 0.11803037 1.51916761 21.2802805 11 6.BRET1 10 4 1.28623523 0.44140433 2.16447801 0.10494419 0.27193909 0.47570057 1.35320196 17.0979034 11 5.BRET1 90 4 3.02770015 1.6308001 12.6031293 0.3318652 0.57769017 2.45869038 2.02636141 33.6562367 11 11BRET1 100 4 2.05424245 0.95392498 5.81595702 0.19902204 0.47915406 1.32462925 1.80714272 23.6340725 11 8.CAPI1 10 5 0.33795126 0.46979673 0.74680073 0.12500592 0.15394445 0.03691034 0.47321408 11.3436235 9 1.CAPI1 90 5 0.64025563 0.54328695 3.42963101 0.27741904 1.06779117 0.01669767 3.58671702 18.5617985 9 6.CAPI1 100 5 0.51339407 0.57918985 1.71449684 0.19619759 0.49981165 0.02024039 1.6658719 14.1892023 9 3.CHAS1 10 5 1.25422833 0.75367168 3.03149946 0.12626858 0.28070091 0.16619777 1.47767262 18.0902394 11 5.CHAS1 90 5 2.76645092 1.20169519 11.369646 0.29829095 0.76401073 1.14439121 1.98162865 30.5261136 11 11CHAS1 100 5 2.09327153 0.99851024 5.81037912 0.20188413 0.49825105 0.53532841 1.80000905 22.9376335 11 8COHU1 10 4 0.74497817 0.72189051 2.00486204 0.10502282 0.15257001 0.06540124 0.6362195 15.4309443 11 4.COHU1 90 4 4.02652507 0.76231752 10.2992608 0.29216875 0.98762914 0.17444892 2.30208248 29.8444327 11 10COHU1 100 4 2.03753822 0.8962994 5.44529382 0.19370878 0.49951039 0.12273091 1.47131671 21.6663982 11 7.GLAC1 10 5 0.42405235 0.27874496 0.48550517 0.0789959 0.11220066 0.02769179 0.34444171 12.7516325 11 2.GLAC1 90 5 1.28571997 2.07176004 4.99009579 0.39424572 1.31689117 0.26997002 4.64883914 25.9775218 11 9.GLAC1 100 5 0.93595881 0.94941043 1.8566512 0.19864924 0.49827659 0.08659971 1.79960189 17.3251479 11 5KAIS1 10 3 0.16351814 0.06432387 0.34501342 0.09058109 0.07453925 0.04336864 0.26137846 10.0427229 9 0.KAIS1 90 3 0.9927931 1.02897677 4.30594841 0.35984355 0.93263071 0.23304502 3.77313741 20.626375 9 7KAIS1 100 3 0.55580153 0.54317828 1.75053432 0.1980273 0.46115112 0.11506936 1.72821611 14.351978 9 3.MINGW 10 4 0.82349621 0.36301896 2.55889151 0.10048855 0.21698052 0.08097691 0.85567827 16.9995309 12 5.MINGW 90 4 2.54701264 1.39727237 11.1233767 0.33602674 0.97672285 0.46041042 3.30911334 32.1499351 12 11MINGW 100 4 1.76919788 0.83733155 5.74156269 0.19985162 0.50032072 0.2523103 1.80303727 23.103612 12 8.MING1 10 4 0.88368162 0.36024082 2.60314385 0.09988892 0.2104086 0.07107776 0.89298758 17.1214292 12 5.MING1 90 4 2.36441588 1.57356388 11.4617209 0.35435029 0.92939877 0.52558656 3.20790329 32.4169396 12 11MING1 100 4 1.78968661 0.84538172 5.85323896 0.20283956 0.50783138 0.26540349 1.82775104 23.2921328 12 8.NOCA1 10 4 0.25662682 0.32101896 0.25564635 0.04576364 0.03811523 0.04577425 0.16942485 12.1323701 11 1.NOCA1 90 4 2.0294025 2.10771235 6.48273124 0.50839765 0.50085486 0.19874092 1.88910867 24.7169482 11 8.NOCA1 100 4 1.01450871 0.98694046 1.99819712 0.20042017 0.18894521 0.16014724 0.79225391 16.3414128 11 4.RAFA1 10 5 0.2277672 0.28305446 0.62230154 0.09570983 0.10947718 0.13279626 0.47466662 11.9457731 10 1.RAFA1 90 5 1.12427403 1.02191256 3.33087309 0.29859446 0.95636963 1.53274631 3.24783569 21.5126058 10 7.RAFA1 100 5 0.74065492 0.71567574 1.78342999 0.20086332 0.50156685 0.61455466 1.8 16.3567455 10 4.SAMA1 10 4 1.2456373 0.62030585 2.40031895 0.10384403 0.23668948 0.27336153 1.30266271 17.1828198 11 5.SAMA1 90 4 2.80023402 1.38957701 12.9936196 0.34132822 0.80370049 1.40069965 2.33594045 33.0650994 11 11SAMA1 100 4 2.09257025 1.01008562 5.91701502 0.19915582 0.49833396 0.67429275 1.80218059 23.193634 11 8.SEQU1 10 5 0.1811444 0.17681357 0.50913232 0.07501241 0.08456195 0.11322494 0.44003612 12.5799257 11 2.SEQU1 90 5 0.83656312 1.211017 3.25672702 0.34587901 0.99779826 0.61185417 3.45737546 21.717214 11 7.SEQU1 100 5 0.57486467 0.64517875 1.76194477 0.19925732 0.50027087 0.19597984 1.79799969 16.6754959 11 4.SHRO1 10 4 0.41121661 0.43026643 1.46669672 0.0797946 0.1291122 0.03597402 0.33441336 12.8874739 10 2.

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SHRO1 90 4 4.71222536 1.18277272 12.2909867 0.33810291 1.02305831 0.18398092 2.05114915 31.782276 10 11SHRO1 100 4 2.12645101 0.91247313 5.68043485 0.19637647 0.49727113 0.10759088 1.05874558 20.579343 10 6.SWAN1 10 4 0.84906976 0.44839777 1.90195331 0.09899446 0.23489878 0.3262275 1.42855711 17.2880987 12 5.SWAN1 90 4 2.71397421 1.3010355 12.0811371 0.33743884 0.6567742 1.41251618 2.14013185 32.6430079 12 11SWAN1 100 4 1.66306086 0.78627515 5.33639441 0.20064103 0.40908604 0.84994859 1.8 23.0454061 12 8THRO1 10 5 0.44339599 0.31424835 0.74437489 0.10396481 0.21299127 0.03327178 0.71755687 13.569804 11 3.THRO1 90 5 0.99854063 1.03752114 3.91706434 0.31739703 0.96982767 0.23670701 3.6604914 22.1375492 11 7.THRO1 100 5 0.74292288 0.74698562 1.80891747 0.20037723 0.50493187 0.07257923 1.80050663 16.8772209 11 5.TONT1 10 4 0.30660937 0.24505551 0.8875513 0.14108965 0.16381081 0.01560884 0.50380956 12.263535 10 2.TONT1 90 4 0.53569575 0.68230201 3.12370481 0.27749275 1.05029061 0.11837403 3.74963982 19.5374998 10 6.TONT1 100 4 0.42918986 0.42945978 1.73771843 0.19774414 0.50246928 0.0551145 1.8 15.151696 10 3TRIN1 10 4 0.26591769 0.20284828 0.34032851 0.05767128 0.06173215 0.10450161 0.21375389 11.2467534 10 1.TRIN1 90 4 1.55215283 2.42276021 4.74094833 0.45097425 0.85495178 0.44598851 2.6853964 23.1531723 10 7.TRIN1 100 4 0.85498499 0.88347603 1.63783538 0.17699735 0.41988906 0.277473 1.24594301 15.4965988 10 3.

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site Group _FREQ_

NIA_ Ammonium_ Sulfate

_

Ext

NIA_ Ammonium_ Nitrate

_

Ext

NIA_ Organic_ext

NIA_ Elemental_ Carbon

_

Ext

NIA_ Fine_Soil_ Ext

NIA_ Sea_Salt_ Ext

NIA_ Coarse

_

Ext

NIA_ Natural

_

Ext ss

_

rayleigh Nat_

BALD1 10 4 0.25569945 0.20639965 0.53516675 0.10263491 0.11033094 0.00244611 0.31852216 10.5312 9 0.50BALD1 90 4 0.58768595 0.64515678 4.29692784 0.3717702 1.05463839 0.08865331 3.56750066 19.6123331 9 6.2BALD1 100 4 0.46830662 0.43423267 1.77473298 0.1907539 0.5 0.02981529 1.6933533 14.0911948 9 3.08BOWA1 10 5 0.7473107 0.15239305 1.45510235 0.06957538 0.12542745 0.05141862 0.51500407 14.1162316 11 3.42BOWA1 90 5 3.11420216 1.75553232 13.3683877 0.39407523 0.5983781 0.11459545 3.06668448 33.4118554 11 11.6BOWA1 100 5 1.64780859 0.78056745 5.70152565 0.2 0.31318082 0.11803037 1.51916761 21.2802805 11 6.97BRET1 10 4 1.28623523 0.44140433 2.16447801 0.10494419 0.27193909 0.47570057 1.35320196 17.0979034 11 5.33BRET1 90 4 3.02770015 1.6308001 12.6031293 0.3318652 0.57769017 2.45869038 2.02636141 33.6562367 11 11.9BRET1 100 4 2.05424245 0.95392498 5.81595702 0.19902204 0.47915406 1.32462925 1.80714272 23.6340725 11 8.2BRIG1 10 5 0.83628729 0.35701359 2.48410607 0.11767816 0.24615627 0.2097587 1.03636204 17.2873621 12 5.44BRIG1 90 5 2.95180615 1.09723854 12.3748143 0.28343495 0.84314193 3.4874886 2.62584531 35.6637698 12 12.BRIG1 100 5 1.71671299 0.82167946 5.81892766 0.19675997 0.47082862 1.35265423 1.788255 24.1658179 12 8.35CACR1 10 3 0.56481265 0.52391922 1.9804616 0.10091762 0.14416574 0.10563831 0.90797691 15.3278921 11 4.22CACR1 90 3 3.19008503 1.05582878 12.0153471 0.31729515 1.12028799 0.2845996 3.14525212 32.1286957 11 11.5CACR1 100 3 1.82148629 0.87089423 5.79069327 0.19978769 0.5 0.21492783 1.8 22.1977893 11 7.61CADI1 10 3 0.89378145 0.6498025 2.62863149 0.121048 0.23879914 0.19785003 1.07054941 16.800462 11 5.1CADI1 90 3 3.3861205 0.79056889 10.3356612 0.2971158 0.92873616 0.38385287 2.58606732 29.7081228 11 10.8CADI1 100 3 1.86150912 0.84937392 5.70974056 0.1998274 0.49936623 0.2971954 1.80053188 22.2175445 11 7.76CAPI1 10 5 0.33795126 0.46979673 0.74680073 0.12500592 0.15394445 0.03691034 0.47321408 11.3436235 9 1.25CAPI1 90 5 0.64025563 0.54328695 3.42963101 0.27741904 1.06779117 0.01669767 3.58671702 18.5617985 9 6.02CAPI1 100 5 0.51339407 0.57918985 1.71449684 0.19619759 0.49981165 0.02024039 1.6658719 14.1892023 9 3.31CHAS1 10 5 1.25422833 0.75367168 3.03149946 0.12626858 0.28070091 0.16619777 1.47767262 18.0902394 11 5.90CHAS1 90 5 2.76645092 1.20169519 11.369646 0.29829095 0.76401073 1.14439121 1.98162865 30.5261136 11 11.0CHAS1 100 5 2.09327153 0.99851024 5.81037912 0.20188413 0.49825105 0.53532841 1.80000905 22.9376335 11 8.10COHU1 10 4 0.74497817 0.72189051 2.00486204 0.10502282 0.15257001 0.06540124 0.6362195 15.4309443 11 4.31COHU1 90 4 4.02652507 0.76231752 10.2992608 0.29216875 0.98762914 0.17444892 2.30208248 29.8444327 11 10.7COHU1 100 4 2.03753822 0.8962994 5.44529382 0.19370878 0.49951039 0.12273091 1.47131671 21.6663982 11 7.42DOSO1 10 5 0.79601288 0.38664214 2.3469134 0.10419815 0.1668537 0.06216208 0.59077002 14.4535524 10 3.63DOSO1 90 5 3.20164419 1.1813006 10.3866723 0.29349472 0.75069017 0.33717346 2.28096302 28.4319384 10 10.3DOSO1 100 5 1.88027344 0.82398053 5.71362159 0.19971273 0.42520547 0.13283436 1.3137608 20.4893889 10 6.87EVER1 10 4 1.01280672 0.52321858 2.25153601 0.11733074 0.16265903 0.67822805 1.11640825 16.8621874 11 5.20EVER1 90 4 1.74586841 0.90444203 21.2502064 0.33242634 1.07165244 3.83498485 2.52061979 42.6602003 11 12.0EVER1 100 4 1.46299705 0.68241035 6.81092755 0.19588998 0.5035722 1.78559 1.80216734 24.2435545 11 7.74GLAC1 10 5 0.42405235 0.27874496 0.48550517 0.0789959 0.11220066 0.02769179 0.34444171 12.7516325 11 2.42GLAC1 90 5 1.28571997 2.07176004 4.99009579 0.39424572 1.31689117 0.26997002 4.64883914 25.9775218 11 9.1GLAC1 100 5 0.93595881 0.94941043 1.8566512 0.19864924 0.49827659 0.08659971 1.79960189 17.3251479 11 5.08GRSM1 10 5 0.78855504 0.59486589 2.16359242 0.10730919 0.16566706 0.09542189 0.88627023 15.8016817 11 4.54GRSM1 90 5 3.55427719 1.03476346 10.8100119 0.29106211 0.87845741 0.35651841 2.82760546 30.752696 11 11.0GRSM1 100 5 2.05551154 0.9156148 5.47568865 0.19402088 0.48044993 0.1636443 1.74622405 22.0311541 11 7.HEGL1 10 3 0.70833496 0.50881582 2.26319619 0.10995655 0.16360714 0.11427386 1.11393755 15.9821221 11 4.6HEGL1 90 3 2.93684983 1.00329107 12.8367407 0.32164644 0.97183073 0.16793345 2.66135897 31.8996512 11 11.2HEGL1 100 3 1.76177171 0.82814404 5.83603358 0.19879416 0.50020049 0.15019393 1.79966819 22.0748061 11 7.53JARI1 10 4 0.8087629 0.47159746 2.05777469 0.09594566 0.19795804 0.05936205 0.83274063 15.5241414 11 4.37JARI1 90 4 3.16963065 1.11156894 11.3826449 0.29275442 0.81153904 0.24781421 2.75787348 30.7738256 11 11.0

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JARI1 100 4 1.77235519 0.80134808 5.73805156 0.19939844 0.48152182 0.11794302 1.80225944 21.9128775 11 7.53KAIS1 10 3 0.16351814 0.06432387 0.34501342 0.09058109 0.07453925 0.04336864 0.26137846 10.0427229 9 0.03KAIS1 90 3 0.9927931 1.02897677 4.30594841 0.35984355 0.93263071 0.23304502 3.77313741 20.626375 9 7.KAIS1 100 3 0.55580153 0.54317828 1.75053432 0.1980273 0.46115112 0.11506936 1.72821611 14.351978 9 3.23LIGO1 10 4 0.65955441 0.53287158 1.94956347 0.0925351 0.14463798 0.07246372 0.62111587 15.0727421 11 4.07LIGO1 90 4 3.94749931 1.09559428 10.9538444 0.31112139 0.82923177 0.2736705 2.5195019 30.9304635 11 11.1LIGO1 100 4 2.04928022 0.89244825 5.74747751 0.19930965 0.44898913 0.16292232 1.5604615 22.0608886 11 7.56MACA1 10 5 0.92102767 0.69278817 2.53110454 0.12486727 0.23851126 0.07978311 0.92581289 16.5138949 11 4.98MACA1 90 5 4.50788472 0.74955168 10.6481525 0.28859533 0.97920712 0.18485745 2.31527561 30.6735244 11 11.0MACA1 100 5 2.21343855 0.92797082 5.74324734 0.20010216 0.5001756 0.1119386 1.63711583 22.3339889 11 7.76MINGW 10 4 0.82349621 0.36301896 2.55889151 0.10048855 0.21698052 0.08097691 0.85567827 16.9995309 12 5.27MINGW 90 4 2.54701264 1.39727237 11.1233767 0.33602674 0.97672285 0.46041042 3.30911334 32.1499351 12 11.5MINGW 100 4 1.76919788 0.83733155 5.74156269 0.19985162 0.50032072 0.2523103 1.80303727 23.103612 12 8.09MING1 10 4 0.88368162 0.36024082 2.60314385 0.09988892 0.2104086 0.07107776 0.89298758 17.1214292 12 5.35MING1 90 4 2.36441588 1.57356388 11.4617209 0.35435029 0.92939877 0.52558656 3.20790329 32.4169396 12 11.6MING1 100 4 1.78968661 0.84538172 5.85323896 0.20283956 0.50783138 0.26540349 1.82775104 23.2921328 12 8.17NOCA1 10 4 0.25662682 0.32101896 0.25564635 0.04576364 0.03811523 0.04577425 0.16942485 12.1323701 11 1.9NOCA1 90 4 2.0294025 2.10771235 6.48273124 0.50839765 0.50085486 0.19874092 1.88910867 24.7169482 11 8.39NOCA1 100 4 1.01450871 0.98694046 1.99819712 0.20042017 0.18894521 0.16014724 0.79225391 16.3414128 11 4.43OKEF1 10 5 1.2149094 0.7270385 2.55509709 0.11821939 0.22187338 0.20798275 1.0092561 17.0543766 11 5.30OKEF1 90 5 3.31540814 1.26230885 10.8953442 0.29303108 0.85485073 1.53922506 2.55147734 31.7116454 11 11.2OKEF1 100 5 2.15818828 1.00770659 5.47412262 0.18784906 0.50075822 0.62618634 1.8 22.7548111 11 7.91RAFA1 10 5 0.2277672 0.28305446 0.62230154 0.09570983 0.10947718 0.13279626 0.47466662 11.9457731 10 1.7RAFA1 90 5 1.12427403 1.02191256 3.33087309 0.29859446 0.95636963 1.53274631 3.24783569 21.5126058 10 7.57RAFA1 100 5 0.74065492 0.71567574 1.78342999 0.20086332 0.50156685 0.61455466 1.8 16.3567455 10 4.69ROMA1 10 5 1.14589906 0.55427954 2.61017747 0.11199046 0.24195398 0.27372072 1.18762176 18.125643 12 5.92ROMA1 90 5 2.39703037 1.21681958 11.0967286 0.28730345 0.73208433 3.91744669 2.5553955 34.2028086 12 12.1ROMA1 100 5 1.92905381 0.88647611 5.85965244 0.20061468 0.44810669 1.29105207 1.8 24.4149558 12 8.63SAMA1 10 4 1.2456373 0.62030585 2.40031895 0.10384403 0.23668948 0.27336153 1.30266271 17.1828198 11 5.38SAMA1 90 4 2.80023402 1.38957701 12.9936196 0.34132822 0.80370049 1.40069965 2.33594045 33.0650994 11 11.6SAMA1 100 4 2.09257025 1.01008562 5.91701502 0.19915582 0.49833396 0.67429275 1.80218059 23.193634 11 8.08SEQU1 10 5 0.1811444 0.17681357 0.50913232 0.07501241 0.08456195 0.11322494 0.44003612 12.5799257 11 2.28SEQU1 90 5 0.83656312 1.211017 3.25672702 0.34587901 0.99779826 0.61185417 3.45737546 21.717214 11 7.69SEQU1 100 5 0.57486467 0.64517875 1.76194477 0.19925732 0.50027087 0.19597984 1.79799969 16.6754959 11 4.91SHEN1 10 5 0.55468723 0.55807373 1.61614393 0.0829481 0.14482248 0.06368132 0.73383644 13.7541932 10 3.13SHEN1 90 5 3.58639148 0.61311572 13.7405612 0.34480356 0.82796692 0.16986584 3.01884074 32.3015454 10 11.3SHEN1 100 5 1.82066438 0.78986457 5.95198319 0.20031588 0.40869555 0.12100469 1.72709343 21.0196217 10 6.89SHRO1 10 4 0.41121661 0.43026643 1.46669672 0.0797946 0.1291122 0.03597402 0.33441336 12.8874739 10 2.50SHRO1 90 4 4.71222536 1.18277272 12.2909867 0.33810291 1.02305831 0.18398092 2.05114915 31.782276 10 11.4SHRO1 100 4 2.12645101 0.91247313 5.68043485 0.19637647 0.49727113 0.10759088 1.05874558 20.579343 10 6.66SIPS1 10 4 0.89622962 0.87056014 2.37325887 0.11425409 0.23955927 0.08835067 1.00779865 16.5900113 11 5.03SIPS1 90 4 3.23119211 0.99261975 10.6331882 0.30707223 0.7755725 0.6980782 2.42580243 30.0635254 11 10.9SIPS1 100 4 1.94028398 0.89119057 5.66963096 0.19871841 0.50218236 0.24750077 1.80441935 22.2539264 11 7.75SWAN1 10 4 0.84906976 0.44839777 1.90195331 0.09899446 0.23489878 0.3262275 1.42855711 17.2880987 12 5.45SWAN1 90 4 2.71397421 1.3010355 12.0811371 0.33743884 0.6567742 1.41251618 2.14013185 32.6430079 12 11.5SWAN1 100 4 1.66306086 0.78627515 5.33639441 0.20064103 0.40908604 0.84994859 1.8 23.0454061 12 8.03THRO1 10 5 0.44339599 0.31424835 0.74437489 0.10396481 0.21299127 0.03327178 0.71755687 13.569804 11 3.04

Page 2
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THRO1 90 5 0.99854063 1.03752114 3.91706434 0.31739703 0.96982767 0.23670701 3.6604914 22.1375492 11 7.79THRO1 100 5 0.74292288 0.74698562 1.80891747 0.20037723 0.50493187 0.07257923 1.80050663 16.8772209 11 5.05TONT1 10 4 0.30660937 0.24505551 0.8875513 0.14108965 0.16381081 0.01560884 0.50380956 12.263535 10 2.03TONT1 90 4 0.53569575 0.68230201 3.12370481 0.27749275 1.05029061 0.11837403 3.74963982 19.5374998 10 6.53TONT1 100 4 0.42918986 0.42945978 1.73771843 0.19774414 0.50246928 0.0551145 1.8 15.151696 10 3.98TRIN1 10 4 0.26591769 0.20284828 0.34032851 0.05767128 0.06173215 0.10450161 0.21375389 11.2467534 10 1.16TRIN1 90 4 1.55215283 2.42276021 4.74094833 0.45097425 0.85495178 0.44598851 2.6853964 23.1531723 10 7.90TRIN1 100 4 0.85498499 0.88347603 1.63783538 0.17699735 0.41988906 0.277473 1.24594301 15.4965988 10 3.94UPBU1 10 5 0.63025689 0.48190288 1.9384536 0.09643087 0.15940065 0.0454606 0.80771458 15.1596201 11 4.13UPBU1 90 5 3.40891063 0.69889033 12.1273732 0.31385471 1.09804997 0.25977426 3.36566902 32.2725221 11 11.4UPBU1 100 5 1.79208308 0.83715774 5.67717382 0.19594374 0.50924521 0.15898774 1.81095043 21.9815418 11 7.46

Page 3
baseline

site y_group _FREQ_

NIA_ Ammonium_ Sulfate

_

Ext

NIA_ Ammonium_ Nitrate

_

Ext

NIA_ Organic_ext

NIA_ Elemental_ Carbon

_

Ext

NIA_ Fine_Soil_ Ext

NIA_ Sea_Salt_ Ext

NIA_ Coarse

_

Ext

NIA_ total

_

Ext rayleigh_ext 

ACAD1 10 5 6.76024538 1.07722537 2.23627391 0.86952333 0.11071823 0.43265019 0.71560845 24.2022449 12 ACAD1 90 5 69.2170594 8.02033535 11.1674081 4.33148743 0.52275436 1.26535524 1.88580588 108.410206 12 ACAD1 100 5 25.2172528 3.83264412 5.38576473 2.10616009 0.24615866 0.93691296 1.29036398 51.0152573 12 ADPI1 10 3 12.2562282 3.27275381 3.36825142 1.64765942 0.14445983 0.21744316 1.0098446 32.9166404 11 ADPI1 90 3 134.360911 12.4056484 15.6784931 5.89709722 0.73771601 0.14766362 2.15984 182.387369 11 ADPI1 100 3 49.6677233 9.41748393 8.30208098 3.52367955 0.39599485 0.17972932 1.56585859 84.0525505 11 AGTI1 10 4 3.90044387 3.27345197 2.99154557 1.87076391 0.46911437 0.79077334 2.40753945 26.7036325 11 AGTI1 90 4 31.8199807 29.9089701 17.5469426 6.37034405 1.25150666 0.81504017 8.64252211 107.355306 11 AGTI1 100 4 16.7504928 13.9193234 9.13533454 4.1724134 0.90645881 0.70867535 5.8952748 62.4879732 11 AREN1 10 3 16.7574569 5.94943156 4.64716533 2.30279529 0.20648771 0.19485738 1.4266163 42.4848105 11 AREN1 90 3 144.056119 33.9431657 23.0741101 7.41109389 0.98844235 1.16140466 3.5607695 225.195106 11 AREN1 100 3 59.1958679 19.6317287 12.2946126 4.8369949 0.51770502 0.68781877 2.70890263 110.87363 11 BADL1 10 5 3.35657293 1.19966368 1.80985697 0.78770399 0.33275758 0.01986608 1.50811455 20.0145358 11 BADL1 90 5 18.8545124 5.84667201 11.7778002 2.58532164 0.97719939 0.19124315 5.94469846 57.1774472 11 BADL1 100 5 9.43209752 3.14877815 5.23857884 1.46084052 0.62023071 0.05076589 3.3533561 34.3046477 11 BALD1 10 2 1.5443418 0.33702972 1.21165522 0.57778557 0.1367624 0.00479831 0.36536804 13.1777411 9 BALD1 90 2 5.73490897 1.19780145 10.2964195 2.2441404 1.21658859 0.067709 2.92544951 32.6830175 9 BALD1 100 2 3.60963941 0.78870371 4.09594885 1.14003239 0.65808847 0.0456538 1.72877063 21.0668373 9 BAND1 10 5 2.43656016 0.7413824 2.13876539 0.89053486 0.30373555 0.01184897 0.93646826 16.4592956 9 BAND1 90 5 6.89280877 2.51093749 14.2281177 3.14656957 1.12115534 0.24025067 2.93049886 40.0703384 9 BAND1 100 5 4.59470153 1.44830608 5.73198174 1.66341173 0.64649902 0.06944772 1.79572888 24.9500767 9 BIBE1 10 4 3.54645176 0.50450011 1.47666489 0.65429023 0.38107798 0.10407109 1.39443805 18.0614941 10 BIBE1 90 4 26.0964158 2.0450147 7.96537076 2.12428288 2.53741145 0.09715048 7.02584518 57.8914912 10 BIBE1 100 4 12.8467403 1.15578821 3.95585364 1.27616886 1.32259403 0.10526384 4.03151721 34.6939261 10 BLIS1 10 4 1.27519458 0.51003982 1.13093116 0.4726154 0.11890944 0.09375203 0.36815635 12.9695988 9 BLIS1 90 4 5.07485889 2.37558792 14.0546704 2.99137825 1.00803498 0.0165233 2.10175116 36.6228049 9 BLIS1 100 4 3.16175977 1.41921912 5.66652563 1.54664848 0.48567147 0.05485734 1.14307442 22.4777562 9 BLMO1 10 2 7.42596223 4.66630339 3.2355688 1.20234783 0.41962952 0.17683475 3.34030826 31.4669548 11 BLMO1 90 2 40.8241063 74.9817006 9.03216959 3.78074275 0.69455355 0.53745989 4.96988592 145.820619 11 BLMO1 100 2 19.1123547 26.2791312 6.45934811 2.50777443 0.67515773 0.26027122 5.02177751 71.3158148 11 BOAP1 10 3 2.7869937 0.81299046 2.12792254 1.1027846 0.33889324 0.12756998 1.57539476 18.8725493 10 BOAP1 90 3 7.51313359 3.24163524 8.72561601 2.59940133 1.93835349 0.19398138 6.69127246 40.9033935 10 BOAP1 100 3 4.91749771 1.55118804 4.66090553 1.72321315 1.01462895 0.14241244 3.81469208 27.8245379 10 BOND1 10 3 14.433257 9.41242271 5.08210754 2.51119324 0.32906803 0.26485687 3.08053935 46.1134447 11 BOND1 90 3 105.717757 60.00903 13.936837 6.33802536 0.85357497 0.79195854 3.25229438 201.899477 11 BOND1 100 3 47.2894339 30.3923291 9.35106283 4.21872108 0.59886839 0.54425878 3.41755892 106.812233 11 BOWA1 10 2 4.32005885 0.73690099 1.67551591 0.51867087 0.12706502 0.30705433 0.60581027 19.2910762 11 BOWA1 90 2 27.1545623 20.6710961 9.90904782 3.66671569 0.62288668 0 2.93536235 75.959671 11 BOWA1 100 2 12.4695191 5.91619029 5.67436609 1.80005882 0.34570216 0.12009798 1.68650913 39.0124435 11 BRCA1 10 5 1.47547497 0.67084055 1.03286505 0.40868787 0.14583214 0.00688617 0.49939556 13.2399823 9 BRCA1 90 5 5.23294985 2.51555911 9.3529965 2.37363045 1.24177518 0.08289819 4.00994437 33.8097537 9 BRCA1 100 5 3.37248759 1.5045983 3.71171965 1.16136529 0.60477407 0.03643678 1.8529172 21.2442989 9 BRID1 10 5 1.45488806 0.42742922 0.7976412 0.35698478 0.08928889 0.00896287 0.24848749 12.3836825 9 

Page 1
baseline

BRID1 90 5 4.99103365 1.42608068 10.5460985 1.98671377 1.10317798 0.03669695 2.50885904 31.5986605 9 BRID1 100 5 3.24502069 0.97486715 3.88777968 0.97515937 0.46932784 0.02458511 1.1282494 19.7049892 9 BRIG1 10 5 14.8256315 3.85524369 4.54377503 2.41481885 0.23420524 1.35502872 3.2038272 42.4325302 12 BRIG1 90 5 127.12736 15.6897514 24.2114722 6.96174332 0.96884952 0.38544149 5.38948033 192.734098 12 BRIG1 100 5 51.933377 10.7594486 11.1355651 4.49060841 0.49327722 1.35265423 4.53725993 96.7021905 12 BRLA1 10 3 1.26438005 0.32037703 0.47512407 0.20536464 0.10502793 0.00115739 0.21044679 10.5818779 8 BRLA1 90 3 6.41582483 2.1252083 9.61212638 1.74565079 1.24099181 0.09393794 1.86673797 31.100478 8 BRLA1 100 3 3.67698141 1.22214423 3.37917904 0.76254067 0.58236916 0.02258786 1.04712337 18.6929257 8 BRMA1 10 3 6.47160597 1.14462929 2.98527889 1.17243532 0.11273275 0.43012431 0.84116448 25.157971 12 BRMA1 90 3 74.0080457 6.58397595 15.351573 5.31753397 0.60413848 0.19241958 1.7752982 115.832985 12 BRMA1 100 3 25.3676666 3.34523023 7.6104049 2.78363729 0.26652354 0.34447498 1.25484194 52.9727795 12 CABA1 10 3 7.07062555 1.21351415 3.34068085 1.4505942 0.17378523 0.59266484 1.11422957 26.9560944 12 CABA1 90 3 62.2025666 9.56127761 26.1487566 7.11304167 0.63244718 1.31263409 2.984675 121.955399 12 CABA1 100 3 23.3159374 4.67170172 10.9844775 3.82994711 0.32162102 1.0502555 1.90858075 58.0825211 12 CABI1 10 4 1.79341093 0.77042283 1.03070264 0.3231166 0.10939515 0.12341371 0.31668595 14.4671478 10 CABI1 90 4 6.48011089 2.02191168 16.9464436 2.79053487 1.02817302 0.10043391 2.81152761 42.1791356 10 CABI1 100 4 4.23775478 1.41214916 6.33689833 1.30693698 0.47482084 0.10683858 1.38848301 25.2638817 10 CACO1 10 3 8.71076918 2.1051657 2.85501819 1.07440097 0.12043838 2.27137528 2.26381056 31.4009783 12 CACO1 90 3 88.8631843 7.68706461 17.0806914 4.74995455 0.72880204 1.41231604 3.75035018 136.272363 12 CACO1 100 3 31.365194 4.83435484 7.2514318 2.39642418 0.31496181 3.09385993 3.15624683 64.4124734 12 CACR1 10 3 8.52642495 4.03943525 4.32885517 1.49876954 0.2491416 0.15652053 1.8156435 31.6147905 11 CACR1 90 3 87.0546648 13.7820557 23.4389413 4.80089128 1.1226519 0.17635408 3.72694841 145.102507 11 CACR1 100 3 38.872408 9.2259404 11.9485789 2.99810287 0.83377603 0.21492783 3.11237083 78.2061048 11 CADI1 10 3 17.8912997 7.37943026 6.72229681 2.48315876 0.32995961 0.46888897 2.61310374 48.8881379 11 CADI1 90 3 134.620367 20.0960318 18.8925003 5.98715217 0.89978331 0.24277486 3.44266598 195.181276 11 CADI1 100 3 57.8147497 14.5807691 11.9008566 3.9704402 0.61525041 0.2971954 3.04030324 103.219565 11 CANY1 10 5 2.17273873 0.59491702 1.11848174 0.43331378 0.3119846 0.03006235 0.96492662 14.6264248 9 CANY1 90 5 5.58334769 2.96623183 7.07442036 1.74601435 1.45683878 0.0525362 3.82933022 31.7087194 9 CANY1 100 5 3.82733006 1.51951094 3.12980441 0.98409658 0.7688287 0.04544389 2.10554558 21.3805602 9 CAPI1 10 2 1.79384705 0.76371706 1.19387309 0.49102368 0.43274554 0.07984309 0.67177603 14.4268255 9 CAPI1 90 2 5.90942573 2.93476693 4.58491286 1.34708947 1.16449239 0.01777743 2.42891984 27.3873847 9 CAPI1 100 2 3.53643174 1.6530516 2.64548903 0.90125342 0.79547633 0.03422639 1.45187086 20.0177994 9 CEBL1 10 2 4.20593664 2.9030658 2.19381689 0.91341369 0.49174241 0.03832364 3.68972107 25.4360201 11 CEBL1 90 2 34.1927971 34.1040759 10.8628513 3.23328182 0.83206883 0.18104783 5.28510365 99.6912264 11 CEBL1 100 2 16.3648164 13.9083091 6.09995948 1.9696359 0.81418317 0.12078328 5.17751409 55.4552014 11 CHAS1 10 3 19.8723929 4.72231689 5.81970657 2.81119596 0.54996743 1.20799294 3.43083108 49.4144037 11 CHAS1 90 3 89.4320401 5.79034555 22.7019382 6.90094481 0.92001408 0.18061918 2.93121678 139.857119 11 CHAS1 100 3 46.6213446 5.49080711 12.0349605 4.88550436 0.77953858 0.53787962 3.45412764 84.8041624 11 CHER1 10 2 6.93919008 3.81568396 4.6950893 1.78239881 0.55197094 0.10275994 5.70455946 34.5916525 11 CHER1 90 2 45.7250949 32.7913269 27.5664417 5.23180682 1.47213887 0.22408597 12.6377322 136.648627 11 CHER1 100 2 24.3453161 14.8023389 12.1613737 3.30120694 1.0773791 0.21194657 9.29527222 76.1948336 11 CHIR1 10 5 2.28229911 0.53310633 1.39645379 0.67135497 0.33067577 0.01356764 1.22022389 16.4476815 10 CHIR1 90 5 8.12726847 1.34685881 7.28998647 1.67553452 2.67925029 0.10432462 8.63219479 39.855418 10 CHIR1 100 5 5.13818866 0.90819763 3.24079406 1.08712881 1.17659165 0.07077332 3.81402643 25.4357006 10 CLPE1 10 2 1.04424502 0.320327 0.37084038 0.12308696 0.07170201 0.00148749 0.41185696 11.3435458 9 CLPE1 90 2 6.54132224 1.62937308 13.4519653 2.02295833 0.74958803 0.15324216 2.83823125 36.3866804 9 

Page 2
baseline

CLPE1 100 2 3.43092587 0.88272166 4.16700979 0.75495668 0.32249071 0.04266153 1.3687927 19.9695589 9 COGO1 10 3 4.11774491 2.58559782 3.34174559 1.51347694 0.11532927 1.08191158 0.9409202 25.6967263 12 COGO1 90 3 25.1930389 33.5903643 25.3018943 5.94696212 0.60902659 0.86738034 4.1217006 107.630367 12 COGO1 100 3 13.368828 12.1095098 10.8514941 3.33807588 0.40011708 1.3073281 3.16835842 56.5437113 12 COHI1 10 3 11.7883654 3.91009805 3.2089823 1.41992693 0.15600819 0.37482194 0.98020548 32.8384083 11 COHI1 90 3 122.183441 16.2921139 14.0615193 5.34998225 0.83835285 0.32223148 2.11999876 172.167639 11 COHI1 100 3 46.2490121 10.4138735 7.57081472 3.17873766 0.39976577 0.28674333 1.52173594 80.620683 11 COHU1 10 2 16.0959032 4.71853242 4.52674663 1.88698696 0.25870963 0.1157785 0.963426 39.5660833 11 COHU1 90 2 171.218593 3.5677892 23.4096219 5.00622619 1.07131926 0.07897784 1.62147339 216.974001 11 COHU1 100 2 68.2830935 6.5129494 12.1755865 3.25360298 0.71876572 0.19504059 1.3327857 103.471824 11 CORI1 10 3 4.51014546 2.31877744 2.66367614 1.49462319 0.29770749 0.81535353 2.3722519 26.4725351 12 CORI1 90 3 23.2539702 64.2092271 18.858635 5.61045109 0.6681103 0.24433707 4.32203257 129.166763 12 CORI1 100 3 12.2781741 17.0015897 9.53410146 3.29680252 0.73312944 0.83039362 4.31407534 59.9882662 12 CRES1 10 2 3.1985962 1.46218621 1.58432611 0.62764229 0.28627383 0.03584208 1.91813846 19.1130052 10 CRES1 90 2 14.3411191 25.5256363 6.7886086 2.01336957 0.52774855 0.11503224 3.66670696 62.9782213 10 CRES1 100 2 7.8560365 8.37704271 4.33111223 1.28260889 0.50078986 0.05097348 3.29099686 35.6895605 10 CRLA1 10 3 0.94875392 0.25819231 0.58226707 0.65136094 0.07902469 0.16161043 0.21378586 11.8949952 9 CRLA1 90 3 7.33943687 2.6079326 21.4180626 4.31450716 0.82966528 0.05313637 2.31712848 47.8798693 9 CRLA1 100 3 3.84806104 1.19517074 6.23552494 1.78635756 0.40718547 0.16571015 1.00600901 23.6440189 9 CRMO1 10 4 1.52654237 1.24938281 1.29173266 0.37179881 0.19946488 0.04495124 0.7855145 15.4693873 10 CRMO1 90 4 5.69427253 11.3494144 9.05979392 1.91966097 1.04383047 0.03345206 2.94909888 42.0495232 10 CRMO1 100 4 3.32262148 4.0614658 4.30112404 1.04296122 0.60390261 0.04683478 1.89016466 25.2690746 10 DENA1 10 5 0.80893504 0.12745197 0.3185457 0.17155014 0.04773816 0.07151934 0.20797842 12.7537188 11 DENA1 90 5 4.85389529 0.59867717 10.8310886 1.583954 0.3122675 0.44539626 1.37257297 30.9978518 11 DENA1 100 5 2.49106817 0.34344818 3.03325929 0.64557981 0.1407896 0.22964252 0.67439629 18.5581839 11 DEVA1 10 3 1.8223104 0.42731886 0.90584622 0.44782323 0.32356296 0.04549522 1.42675038 16.3991073 11 DEVA1 90 3 9.38055641 3.67942042 10.4670251 2.13644696 3.36516871 0.07987018 10.3276443 50.436132 11 DEVA1 100 3 5.27588677 1.70148917 4.00062153 1.18119654 1.56190202 0.06955964 5.27843697 30.0690926 11 DOME1 10 4 1.7849757 0.93937106 2.00199842 0.84367575 0.14665988 0.0880212 0.94342708 16.7481291 10 DOME1 90 4 12.0191408 15.9480453 17.1229665 3.919982 1.49294839 0.15829467 10.9931795 71.6545571 10 DOME1 100 4 6.89818765 6.65734708 8.04910124 2.21985392 0.81900048 0.11547677 5.25111681 40.0100839 10 DOSO1 10 5 14.3474889 3.1030299 4.87547789 2.05302256 0.17822445 0.11853216 0.73362208 35.4093979 10 DOSO1 90 5 160.524603 3.39654119 13.3758126 4.6819667 0.77293726 0.11757404 1.73537221 194.604807 10 DOSO1 100 5 61.4028261 4.96814495 9.45163896 3.40167016 0.43515387 0.13283436 1.3137608 91.1060292 10 ELDO1 10 2 9.63872076 4.87369514 5.6475085 2.20730114 0.47711547 0.15516375 3.66771318 37.667218 11 ELDO1 90 2 67.115201 38.6038871 28.2313344 5.60674457 1.15806503 0.31433544 6.79585864 158.825426 11 ELDO1 100 2 33.586805 17.0646324 13.4185856 3.62303923 0.86757614 0.21164417 5.65224103 85.4245236 11 ELLI1 10 2 4.49333086 2.20763184 3.08252019 1.21701515 0.33461565 0.07772474 2.9952342 25.4080726 11 ELLI1 90 2 31.879155 29.5807311 13.0649361 3.76351087 0.54008542 0.22478341 3.08206658 93.1352685 11 ELLI1 100 2 17.1494503 10.4527629 7.36660116 2.29294392 0.63047534 0.17466683 3.75804079 52.8249413 11 EVER1 10 4 9.56710559 2.19643704 3.50161454 1.12170697 0.39210971 1.85012578 2.69406643 32.3231661 11 EVER1 90 4 42.5106796 4.83421881 47.0543124 5.90806223 0.93914528 1.20058406 2.98881992 116.435822 11 EVER1 100 4 21.7605675 3.4167147 13.1944676 2.72550181 0.95006418 1.78559 3.39404576 58.2269515 11 FLAT1 10 2 1.64280479 0.72765228 1.18436294 0.35280929 0.08094362 0.10413852 0.38448095 14.4771924 10 FLAT1 90 2 7.53686529 3.09178338 39.3371455 4.45207576 0.65235591 0.01121531 2.84399557 67.9254367 10 FLAT1 100 2 4.4516032 1.83021358 10.9230896 1.64500886 0.31034684 0.12112937 1.48080175 30.7621932 10 

Page 3
baseline

FOPE1 10 2 3.73464438 1.04127211 1.5501252 0.40566977 0.28161792 0.05496816 1.6243213 19.6926188 11 FOPE1 90 2 18.9957295 15.9168153 11.9517532 2.2263125 0.49369498 0.29588696 2.99213268 63.8723251 11 FOPE1 100 2 8.62693984 5.84175613 5.40535644 1.26648309 0.490885 0.0958579 2.79901594 35.5262943 11 GAMO1 10 4 1.00959545 0.48499569 0.71434018 0.1961589 0.07615245 0.04106381 0.3878094 11.9101159 9 GAMO1 90 4 5.41129199 1.87507755 11.2559873 1.81899934 0.74766361 0.06298124 1.67521213 31.8472131 9 GAMO1 100 4 3.07359779 1.1456679 3.98201154 0.7975291 0.34576664 0.03538041 0.91835673 19.2983101 9 GICL1 10 4 1.86413818 0.33065817 1.54357866 0.6347961 0.17126892 0.0168829 0.42562279 13.9869457 9 GICL1 90 4 6.86660845 0.91427702 15.995417 3.16593363 1.45154789 0.06620768 2.84730787 40.3072996 9 GICL1 100 4 4.24171472 0.60382337 5.65246065 1.40090618 0.755464 0.0416882 1.52381886 23.219876 9 GLAC1 10 3 3.1009519 0.82527965 3.33392919 1.30645614 0.17745578 0.02327608 0.90989039 20.6772391 11 GLAC1 90 3 11.2337078 10.2260797 37.8420458 6.71349722 1.4385413 0.41318871 5.71728883 84.5843494 11 GLAC1 100 3 7.0905951 3.62393619 13.9624762 3.63749017 0.67786385 0.10716786 3.2196358 43.3191652 11 GRBA1 10 5 1.14897309 0.30394958 1.53447414 0.57670646 0.17778266 0.01330109 0.62381047 13.3789975 9 GRBA1 90 5 4.32425361 1.2806202 7.10854875 1.85362671 1.33892882 0.1198584 4.12663282 29.1524693 9 GRBA1 100 5 2.58918435 0.84282464 3.64326375 1.15895723 0.59750557 0.04491844 1.85577065 19.7324246 9 GRCA2 10 4 1.45193991 0.44027919 0.63077572 0.3486512 0.14345546 0.01760192 0.44631616 12.4790195 9 GRCA2 90 4 5.36484258 2.18918001 10.6653035 2.40196458 1.3339582 0.13487201 3.49074965 34.5808706 9 GRCA2 100 4 3.43194906 1.15837379 3.71645448 1.09995712 0.63413504 0.06212031 1.7808008 20.8837906 9 GRGU1 10 4 5.77446339 0.97101062 2.00586684 0.83059684 0.10242796 0.16889785 0.87398321 21.7272467 11 GRGU1 90 4 76.5952905 3.01875234 14.3744755 3.92137002 0.57310641 0.12185362 2.97377256 112.578621 11 GRGU1 100 4 25.5270236 2.08368712 6.39772873 1.98304971 0.2641864 0.17634372 1.67812105 49.1101403 11 GRRI1 10 2 7.77938539 3.69177379 3.96926967 1.67945455 0.24173797 0.16862061 2.32970182 30.8599438 11 GRRI1 90 2 55.1645411 68.8508219 12.3778403 4.53565217 0.74392083 0.7559716 4.83455087 158.263299 11 GRRI1 100 2 23.8211898 23.272564 8.1888262 2.86703595 0.4711042 0.3797276 3.77908971 73.7795374 11 GRSA1 10 5 2.12699187 0.65164283 1.80492612 0.61061668 0.37815454 0.02183448 1.13201948 15.726186 9 GRSA1 90 5 5.97240866 1.96190077 8.47123816 1.74136007 2.814462 0.05078891 7.24269313 37.2548517 9 GRSA1 100 5 4.21312806 1.24800472 4.11498039 1.07714711 1.22907636 0.03842112 3.21613039 24.1368882 9 GRSM1 10 5 16.4192611 3.94124187 4.8900243 2.21595522 0.19877762 0.20249997 1.32175386 40.189514 11 GRSM1 90 5 172.722896 3.39393246 20.6404041 5.68792833 0.80146798 0.15045439 1.9409702 216.338053 11 GRSM1 100 5 68.1615899 5.74543943 11.7024291 3.80043486 0.52265007 0.1636443 1.95681087 103.052999 11 GUMO1 10 5 3.43338079 1.14677722 1.60313311 0.72007766 0.41480153 0.057517 2.04031541 18.4160027 9 GUMO1 90 5 16.5108978 3.80855182 6.72684011 1.33844836 4.3666781 0.09877095 16.0224282 57.8726153 9 GUMO1 100 5 8.91149826 2.24783693 3.75146909 1.06704707 1.85136276 0.05751282 7.24920961 34.1359365 9 HALE1 10 4 2.16541862 0.55697049 0.67162301 0.20409169 0.0999926 1.08680288 1.04356855 15.8284679 10 HALE1 90 4 17.5320738 2.66331108 2.89052763 1.39533077 0.34901629 1.28565204 2.62794116 38.7438527 10 HALE1 100 4 7.44266481 1.63372001 1.78600211 0.81491155 0.22922919 1.42159061 1.94224555 25.2703638 10 HAVO1 10 4 2.16746031 0.29527671 1.07662593 0.183193 0.05384378 0.90603666 0.38351953 15.0659559 10 HAVO1 90 4 59.9514237 0.86970227 2.47880968 0.99653776 0.29527767 1.15054467 0.75064803 76.4929438 10 HAVO1 100 4 16.6887167 0.8341126 1.71309028 0.44665597 0.15497077 1.84874755 0.8588827 32.5451765 10 HECA1 10 3 1.93215213 0.78433504 2.01313893 0.58456223 0.25183065 0.07559637 0.80436419 17.4459795 11 HECA1 90 3 8.37102851 28.4705241 15.6029887 3.05965083 0.66053552 0.04644968 1.93143199 69.1426093 11 HECA1 100 3 4.38841223 7.39723854 7.35546771 1.57640196 0.58548469 0.07165137 1.86660179 34.2412583 11 HEGL1 10 3 10.8467784 4.8947091 5.10657365 2.00980556 0.32181952 0.15062557 2.25036167 36.5806734 11 HEGL1 90 3 87.9377189 17.9135683 25.2690855 5.22359667 0.91807118 0.19237212 2.78376817 151.238181 11 HEGL1 100 3 39.6959814 11.6965428 12.4638598 3.33415349 0.72579375 0.15019393 2.82090002 81.8874251 11 HILL1 10 3 1.66213249 0.57193478 1.28911926 0.52469838 0.31704224 0.0316814 0.85673996 15.2533485 10 

Page 4
baseline

HILL1 90 3 6.42810729 4.00317376 6.00914083 1.5275588 2.52985057 0.19490067 6.52606779 37.2187997 10 HILL1 100 3 4.07232706 1.84392188 3.05538089 1.00148294 1.18100554 0.10886243 3.06048919 24.3234699 10 HOOV1 10 3 0.9197445 0.30857557 0.49365871 0.24811957 0.09446318 0.00946499 0.50120326 11.5752298 9 HOOV1 90 3 5.0001931 1.62587793 15.3821395 2.41630556 1.56397658 0.12849736 4.73856361 39.8555537 9 HOOV1 100 3 2.76311647 1.05425102 4.6835802 0.99899447 0.69518472 0.039547 1.95095937 21.1856333 9 IKBA1 10 4 2.21824515 0.87232761 1.83716184 0.87600461 0.413862 0.01901045 1.04069322 17.2773049 10 IKBA1 90 4 6.51218927 3.50907648 7.64172648 2.32613752 2.63814618 0.07639648 6.21680449 38.9204769 10 IKBA1 100 4 4.40116465 1.97764636 3.97594686 1.46438176 1.30528078 0.06230774 3.15526071 26.3419889 10 ISLE1 10 5 4.60740834 0.70107083 1.17939205 0.40775288 0.09456981 0.12681831 0.69227404 19.8092863 12 ISLE1 90 5 33.5660382 19.7774753 11.8545558 3.64764722 0.43439354 0.15086507 3.42908347 84.8600586 12 ISLE1 100 5 14.5226458 5.77946097 5.16628397 1.64789399 0.23884359 0.20423938 1.87013044 41.4294981 12 JARB1 10 4 1.20980513 0.29110483 0.77067879 0.27573214 0.08292642 0.04603743 0.27103865 12.9473234 10 JARB1 90 4 3.99740172 1.09852248 10.042108 1.64787888 2.40884035 0.05650724 5.4703591 34.7216178 10 JARB1 100 4 2.54626937 0.74756564 3.85684824 0.79980185 0.89107745 0.1048972 2.34992901 21.2963888 10 JARI1 10 4 17.4757578 3.73458944 5.56038948 2.96875873 0.24519715 0.0726294 1.23431699 42.291639 11 JARI1 90 4 136.357494 7.76821097 22.838811 7.42877406 0.83672227 0.23711437 3.01795228 189.485079 11 JARI1 100 4 57.1494579 6.88732705 13.3632593 5.19773326 0.52347327 0.11794302 2.06210778 96.3013016 11 JOSH1 10 4 2.39330598 1.51650587 1.64581289 0.89692391 0.3948449 0.11379261 1.608375 18.5695612 10 JOSH1 90 4 12.3035498 27.2703149 10.2549081 4.11349432 1.56761786 0.19516575 7.8217058 73.5267565 10 JOSH1 100 4 7.14194734 10.4146827 5.35019847 2.28522591 0.91831935 0.13198453 4.43300137 40.6753596 10 KAIS1 10 2 1.00837529 0.31848163 0.94039818 0.68764833 0.07407992 0.07115363 0.34279012 12.4429271 9 KAIS1 90 2 7.94696483 6.50327162 13.8215582 2.56354239 0.97371158 0.16781833 3.99265448 44.9695214 9 KAIS1 100 2 4.12464657 2.75233819 5.60383465 1.5155905 0.5208822 0.14337509 1.98711766 25.6477849 9 KALM1 10 4 1.5604897 0.40490551 2.74189453 0.81994054 0.04415036 0.68146805 0.58114074 18.8339894 12 KALM1 90 4 10.3342841 3.18281218 14.5933853 2.50052822 0.38365708 2.93435732 2.14377517 48.0727994 12 KALM1 100 4 5.97918271 1.62680012 6.75840879 1.5172153 0.19823953 1.61810695 1.34924411 31.0471975 12 LABE1 10 4 1.17685234 0.55030732 1.19767018 0.40759524 0.08051743 0.07215659 0.36768521 13.8527843 10 LABE1 90 4 6.80076395 3.46654706 22.0136361 3.33689958 0.97986458 0.0514669 2.62007614 49.2692543 10 LABE1 100 4 3.92251529 1.59300079 7.31110513 1.4070569 0.47381372 0.11361424 1.40192419 26.2230303 10 LASU1 10 2 9.20593775 4.27736885 4.48707291 1.64225216 0.35213342 0.18491039 4.83436851 36.984044 12 LASU1 90 2 62.64952 68.5697961 11.8573708 5.06832816 0.62020919 0.60142745 4.03545832 165.40211 12 LASU1 100 2 28.4889764 25.6724691 7.98660552 3.17728893 0.49691385 0.33279211 4.99578715 83.1508331 12 LAVO1 10 5 1.15106856 0.3800889 0.87021789 0.36728016 0.0951791 0.09247061 0.16751188 13.1238171 10 LAVO1 90 5 6.76914699 3.6594476 17.1861761 3.10547445 0.97346823 0.03356419 2.03741561 43.7646931 10 LAVO1 100 5 3.71469009 1.51254247 6.17331884 1.45648247 0.51408957 0.06511212 1.07881451 24.5150501 10 LIGO1 10 4 11.287135 2.24541641 3.78053932 1.78825155 0.16004265 0.10967149 0.81877106 31.1898274 11 LIGO1 90 4 146.018626 2.26363494 16.064383 5.1760324 0.75172378 0.13181579 2.18525678 183.591473 11 LIGO1 100 4 56.4085413 3.31779331 10.0200013 3.48810335 0.46291612 0.16292232 1.6509683 86.5112461 11 LIVO1 10 3 19.2727257 8.92162122 5.6120363 2.71637681 0.30412049 0.2016563 2.61132174 50.6398585 11 LIVO1 90 3 143.982044 22.0434073 14.9656937 6.81466667 0.91974861 0.28276015 3.48817208 203.496492 11 LIVO1 100 3 60.9862569 19.6766519 9.51728632 4.47619169 0.59331224 0.32057315 3.005431 109.575703 11 LOST1 10 5 4.38721925 1.85954278 2.25789861 0.70504058 0.34174835 0.03194214 2.30511591 22.8885076 11 LOST1 90 5 21.3969389 22.943805 11.0531981 2.84130877 0.62189771 0.26024226 3.93169632 74.049087 11 LOST1 100 5 10.9482636 8.26472671 6.00718568 1.58151572 0.57834747 0.14735724 3.68178848 42.2091849 11 LYBR1 10 5 4.44157963 1.15352175 1.28695893 0.59753356 0.09351459 0.04503155 0.51455219 19.1326922 11 LYBR1 90 5 87.2856492 9.08125781 15.3450096 4.76175926 0.64036933 0.08406347 1.79577107 129.99388 11 

Page 5
baseline

LYBR1 100 5 27.7207276 4.57378228 5.88186656 2.14055004 0.27917912 0.14396433 1.06597601 52.8060459 11 MACA1 10 5 22.1024849 8.78073402 6.30325136 3.02378826 0.3248883 0.08961229 1.37066849 52.9954276 11 MACA1 90 5 188.922495 9.74434705 22.2753207 6.222325 0.93425795 0.08963338 2.167129 241.355508 11 MACA1 100 5 75.8201227 14.1049862 12.8929836 4.47887239 0.60180328 0.1119386 1.830564 120.841271 11 MAVI1 10 2 10.0620097 2.2808234 3.61161257 1.34346651 0.14551844 2.056654 2.17387078 33.6739554 12 MAVI1 90 2 103.691426 9.24448215 11.5883534 4.16675 0.66049381 3.627894 3.12259317 148.101993 12 MAVI1 100 2 36.8160596 5.62035316 6.47100862 2.33315882 0.3141636 4.45171894 2.94487793 70.9513407 12 MEAD1 10 1 1.67257333 0.62063582 1.26754386 0.64454167 0.2674844 0.02853904 0.7743025 15.2756206 10 MEAD1 90 1 7.65376821 2.17273106 3.97665469 1.43466667 2.30891406 0.17544263 5.790565 33.5127423 10 MEAD1 100 1 4.35803109 1.22418004 2.50477842 1.04374167 1.0853962 0.06927563 2.8318945 23.1172975 10 MELA1 10 5 3.48984777 1.17434515 1.9460067 0.61139522 0.35084841 0.04415088 2.16037475 20.7769689 11 MELA1 90 5 16.9588192 16.2691294 9.4820407 2.34323268 0.75455294 0.03027948 4.45737569 61.2954301 11 MELA1 100 5 8.88264978 6.32937815 4.81199674 1.34386901 0.5779438 0.04858268 3.42619009 36.4206102 11 MEVE1 10 5 2.37449786 0.84310799 1.48920579 0.60111929 0.39791756 0.0142246 0.74436094 15.464434 9 MEVE1 90 5 6.46273386 2.29752798 12.2844668 2.36726667 2.51321101 0.03731929 6.52146201 41.4839876 9 MEVE1 100 5 4.43406994 1.42119889 4.75642284 1.19627587 1.10648377 0.0179002 2.66712511 24.5994766 9 MING1 10 1 13.1584507 5.08015382 4.9855344 2.09536364 0.37403207 0 2.09834455 39.7918792 12 MING1 90 1 91.5754309 39.2675961 38.469955 8.95256522 1.55155064 0 8.40034696 200.217445 12 MING1 100 1 44.6306605 16.8826337 17.3615786 5.17083929 0.99479852 0.06152458 5.19428518 102.29632 12 MKGO1 10 3 15.1603374 5.92203582 5.26567412 2.65908394 0.20190975 0.22706624 1.26583304 41.7019403 11 MKGO1 90 3 121.394434 19.7022472 19.364705 7.73445056 0.83139605 0.72689937 2.93081123 183.684943 11 MKGO1 100 3 51.5905122 13.8723095 11.6600936 5.03541185 0.46902955 0.41514263 2.18700761 96.2295069 11 MOHO1 10 4 1.16424648 0.44749993 0.23815888 0.1960942 0.05120659 0.29620423 0.0993509 12.4927612 10 MOHO1 90 4 11.3037142 5.54274728 14.5510249 2.87116634 0.71053037 0.08271224 2.47038649 47.5322818 10 MOHO1 100 4 5.44197052 2.35337944 4.51686916 1.13885691 0.28674596 0.37535439 0.94921028 25.0623866 10 MOMO1 10 3 8.51932339 2.01674053 2.89280167 1.3280779 0.15007923 0.22435204 0.95449525 27.08587 11 MOMO1 90 3 108.59964 10.9648197 21.3162553 6.01871722 0.8417483 0.7839848 2.14755883 161.672724 11 MOMO1 100 3 37.6486152 6.26390903 9.04152349 3.19996822 0.39577661 0.46667227 1.49197263 69.5084375 11 MONT1 10 4 1.49600953 0.51415528 1.82197234 0.51173666 0.10534684 0.04129493 0.30022393 14.7907395 10 MONT1 90 4 5.12413154 1.43182618 22.2946043 2.803875 1.29197507 0.02615426 3.60278402 46.5753503 10 MONT1 100 4 3.60083683 0.89941571 7.83529018 1.30294351 0.54016863 0.03512896 1.50595196 25.7197358 10 MOOS1 10 5 6.6664309 1.05956356 3.06683614 1.02317095 0.11445634 0.29408958 1.06305217 25.2875996 12 MOOS1 90 5 58.4506995 6.39490133 11.9427301 4.40293312 0.38358437 0.94702336 2.11492551 96.6367973 12 MOOS1 100 5 22.3112768 3.19350779 6.40131791 2.44737717 0.23218698 0.68989655 1.54703922 48.8226024 12 MORA1 10 4 2.56908211 0.63698116 1.48727727 0.66042258 0.04961959 0.49191254 0.54628313 17.4415784 11 MORA1 90 4 23.6967979 5.1436926 15.0557403 5.13043485 0.51491048 0.06011261 2.20365577 62.8053445 11 MORA1 100 4 11.4975951 2.58057932 6.87005487 2.68506815 0.23618623 0.61133412 1.35756677 36.8383846 11 MOZI1 10 4 1.53041819 0.51199684 0.80461621 0.33818261 0.09550178 0.02330754 0.53077844 11.8348016 8 MOZI1 90 4 5.2483251 2.15744333 9.93929222 1.7601217 0.98081876 0.02304921 3.1474785 31.2565288 8 MOZI1 100 4 3.46045631 1.19007402 3.60882858 0.8330766 0.45962698 0.01742291 1.69373705 19.2632225 8 NEBR1 10 2 3.42317222 1.41100225 1.66823581 0.56088636 0.27849099 0.03641308 1.40447591 19.7826766 11 NEBR1 90 2 25.4607761 25.5691346 10.460762 2.82602964 0.74407301 0.17203863 4.40044494 80.6332588 11 NEBR1 100 2 11.9044679 9.18651203 5.2879154 1.5633148 0.52776178 0.07237254 2.94178477 42.4841293 11 NOAB1 10 3 1.10560753 0.36922156 0.79563736 0.16268543 0.11768981 0.02033375 0.70842342 12.2795988 9 NOAB1 90 3 4.86886055 1.6053652 11.6420393 1.85926024 0.84637322 0.0063847 2.90695466 32.7352379 9 NOAB1 100 3 2.90935125 1.00452651 4.07393633 0.78899804 0.4409177 0.02862967 1.78763173 20.0339912 9 

Page 6
baseline

NOCA1 10 2 1.55457655 0.41287853 0.61451107 0.22529348 0.03190029 0.17001699 0.17309816 14.1822751 11 NOCA1 90 2 15.2618184 2.44897466 8.30458731 1.98724432 0.57930717 0.00029266 1.74759125 41.3298157 11 NOCA1 100 2 7.19178156 1.26684456 3.29399843 0.94013002 0.22159754 0.10664986 0.73314176 24.7541437 11 NOCH1 10 2 1.55391287 0.50796163 0.90850503 0.31728755 0.20123669 0.00560742 0.70975411 14.2042653 10 NOCH1 90 2 8.67664666 2.45337775 21.358646 3.43880435 0.77764166 0.07083539 3.55369717 50.3296489 10 NOCH1 100 2 4.81954125 1.49632962 6.36010195 1.26254652 0.4628421 0.03056321 1.84734667 26.2792713 10 OKEF1 10 5 19.6889678 3.66350601 6.83919366 2.17343059 0.44035761 0.7104418 2.17197593 46.6878734 11 OKEF1 90 5 102.858857 4.88176517 30.3121285 6.18498824 0.84342916 0.23483061 3.08252015 159.398519 11 OKEF1 100 5 49.9378918 4.78673611 14.872967 3.82347158 0.70466329 0.62618634 2.86470441 88.6166205 11 OLTO1 10 2 8.72429131 0.92821004 3.65052542 2.32169565 0.2141397 0.58099249 1.81457891 30.2344335 12 OLTO1 90 2 70.2419141 8.08594278 26.2995174 8.47858333 0.80346537 1.35394706 4.96203125 132.225401 12 OLTO1 100 2 28.4348636 3.97526023 11.8135786 4.92089744 0.45779756 0.96198601 3.51547056 66.079854 12 OLYM1 10 3 2.66335774 1.24146676 1.91069724 0.64738285 0.0324068 0.61973005 0.31851783 18.4335593 11 OLYM1 90 3 16.6669511 8.30081928 12.0558748 2.74279167 0.29622826 1.4383414 1.7771725 54.278179 11 OLYM1 100 3 9.3518457 4.12991522 5.76420196 1.56850491 0.15313404 1.08431529 1.1276797 34.1795968 11 OMAH1 10 1 7.12922107 4.62779457 3.18404398 1.24835 0.33827458 0.26015187 3.771387 31.5592231 11 OMAH1 90 1 34.8815524 65.7996823 10.0470225 3.7652381 0.70376111 0.65156041 5.01321714 131.862034 11 OMAH1 100 1 19.0992968 24.9266628 6.69807419 2.49616346 0.60166085 0.39750721 5.02886308 70.2482285 11 ORPI1 10 2 2.40499884 1.00092842 2.09223855 0.73977273 0.5440889 0.16075876 1.82338091 19.7661671 11 ORPI1 90 2 9.7314846 2.56682579 6.92609424 1.62378261 2.9406639 0.4214517 8.9427 44.1530028 11 ORPI1 100 2 5.46917042 1.57430214 4.05322112 1.16626832 1.41154833 0.33064614 4.35351133 29.3586678 11 PASA1 10 4 1.53619977 0.54002038 0.54046714 0.20746014 0.07275678 0.12313127 0.15992991 13.1799654 10 PASA1 90 4 8.05883503 3.28456826 21.9033934 3.31797056 0.81647172 0.08232527 2.06741034 49.5309746 10 PASA1 100 4 4.60698252 1.60429548 6.48349059 1.17312269 0.33980015 0.11702278 0.90053907 25.2252533 10 PEFO1 10 5 2.2521243 0.8054125 1.88229263 1.30989478 0.37800407 0.00634735 0.96335661 16.5974322 9 PEFO1 90 5 6.64536881 1.84440444 10.8534497 2.94408513 2.01991887 0.02920814 7.3025729 40.639008 9 PEFO1 100 5 4.32722466 1.36559452 4.76549867 2.06788979 1.00243797 0.03488143 3.16480175 25.7283288 9 PHOE1 10 3 4.65907144 2.26245421 8.26778664 4.33089394 1.83812905 0.28179355 8.52170091 41.1618297 11 PHOE1 90 3 5.49205532 20.6357722 64.0466214 19.045527 3.10550274 0.61970916 16.1650695 140.110257 11 PHOE1 100 3 5.5981429 6.96841201 24.5324898 9.7127856 2.86166126 0.45969109 13.2888665 74.4220492 11 PINN1 10 4 4.41739269 2.60412298 2.63524457 1.24447328 0.16219094 0.91695473 1.69401481 24.674394 11 PINN1 90 4 13.8829942 17.1359225 13.2070732 4.5751928 0.56905431 0.91671117 3.78391575 65.0708639 11 PINN1 100 4 8.88519196 7.70534693 6.84594089 2.6888394 0.38036024 0.98972011 3.15566955 41.6510691 11 PMRF1 10 3 5.65690665 1.23565755 2.8670566 1.08867732 0.10023866 0.25055557 0.82404051 23.0231329 11 PMRF1 90 3 93.6510006 9.72702941 14.6202649 4.87019022 0.64244337 0.13807257 1.81492011 136.463921 11 PMRF1 100 3 29.5146193 4.81735589 7.29124094 2.53369418 0.28272216 0.27658124 1.26725264 56.9834664 11 PORE1 10 3 6.72819118 2.36742556 1.4794096 0.56629573 0.10375515 3.44638954 2.29531395 28.9867807 12 PORE1 90 3 14.079795 38.4015754 12.0737803 3.26578137 0.41776781 21.1828949 7.49112973 108.912725 12 PORE1 100 3 10.7297247 11.5964161 4.6940462 1.40735276 0.23853221 12.5151765 4.86584808 58.0470966 12 PRIS1 10 3 5.80900161 0.76640336 3.25421267 1.722407 0.27467228 0.24811138 1.92293888 25.9977472 12 PRIS1 90 3 51.215489 7.26778247 18.7429823 5.44541278 0.89961518 0.48462839 5.33168873 101.387599 12 PRIS1 100 3 19.7435951 3.17810679 8.76609928 3.40699822 0.53581561 0.46138836 3.53767182 51.6296752 12 PUSO1 10 3 7.82674014 3.79772326 5.25875603 4.121049 0.20395062 2.3214847 2.12953896 37.6592427 12 PUSO1 90 3 34.3316639 39.1000698 51.7004372 12.6076717 0.73416525 2.88288484 4.3942872 157.75118 12 PUSO1 100 3 19.0593252 15.193855 20.4774718 7.55042662 0.50758373 2.2461768 3.67226104 80.7071003 12 QUCI1 10 3 18.663706 6.92992655 5.04317844 2.65898188 0.26727925 0.16821588 1.81414054 46.5454285 11 

Page 7
baseline

QUCI1 90 3 178.274121 6.7003519 14.6622285 5.99167833 1.12620796 0.34704611 2.60633443 220.707969 11 QUCI1 100 3 68.610434 10.2011485 9.6395555 4.42032173 0.59024866 0.28361347 2.28586115 107.031183 11 QURE1 10 3 8.44511725 1.64457424 2.95998202 1.30604167 0.13424989 0.38729122 0.96227274 26.839529 11 QURE1 90 3 96.8597415 12.9728225 22.9199187 6.64655333 0.8452732 0.28303223 2.22974017 153.757082 11 QURE1 100 3 34.3090103 6.09170349 9.62851363 3.50283963 0.36670734 0.30360432 1.6103423 66.812721 11 QUVA1 10 3 3.00358141 1.03379118 2.24525929 1.09403304 0.70737078 0.07996383 2.83191062 21.9959102 11 QUVA1 90 3 7.95280728 9.18812572 7.33240108 2.6551553 2.69785636 0.20601013 11.8486511 52.881007 11 QUVA1 100 3 5.53312586 3.27729713 4.35175286 1.78878489 1.60000201 0.12805536 6.62024785 34.299266 11 RAFA1 10 2 2.81413629 1.67111309 1.86932594 0.65877778 0.14545324 0.5977824 1.16045379 18.9170425 10 RAFA1 90 2 20.5257691 11.5429107 12.9829282 2.81485812 1.0403582 1.01568807 7.21599103 67.1385034 10 RAFA1 100 2 10.5413114 6.83698696 6.40035171 1.66122974 0.62806295 0.80301132 4.44477049 41.3157245 10 REDW1 10 5 2.32581929 0.71645535 1.50697323 0.49446949 0.05025819 1.66354528 0.91606031 18.6735811 11 REDW1 90 5 14.8877173 6.95173339 7.97548825 1.45074061 0.28518601 17.6125423 4.0699308 64.2333387 11 REDW1 100 5 8.77302055 3.15234306 4.23298844 0.9716883 0.16057607 7.19077792 2.24777272 37.7291671 11 ROMA1 10 5 15.653369 3.11611859 4.66392408 1.65999439 0.27472149 2.1537209 2.88966057 42.411509 12 ROMA1 90 5 96.5310224 5.3239613 23.7855709 5.73620591 0.58575747 0.1503649 3.21767424 147.330557 12 ROMA1 100 5 46.5902822 4.81364933 12.2168289 3.88504291 0.49764975 1.29105207 3.17904355 84.4735487 12 ROMO1 10 5 1.32561107 0.32666982 0.88065883 0.31094638 0.12699877 0.01302596 0.63693064 12.6208415 9 ROMO1 90 5 7.90919527 5.26022951 10.5131678 2.55823971 1.36592075 0.00998853 4.90317977 41.5199214 9 ROMO1 100 5 4.18423527 2.25899522 4.22408171 1.24854771 0.69251742 0.01778867 2.35904128 23.9852073 9 SACR1 10 4 3.42955185 2.04097881 2.27539307 1.08090217 0.70431652 0.07761022 2.53560913 22.1443618 10 SACR1 90 4 16.7495037 11.1498973 7.48615083 2.30603216 3.34348404 0.19534708 11.4688025 62.6992176 10 SACR1 100 4 9.32692946 4.91433334 4.49902149 1.59752488 1.96903864 0.1336846 6.06087155 38.501404 10 SAFO1 10 2 7.95639731 4.27318601 4.27259069 1.97093182 0.53089886 0.17067622 4.75890682 34.9335877 11 SAFO1 90 2 44.9922297 55.2547797 17.086307 4.81304348 0.79049059 0.69436382 4.73801478 139.369229 11 SAFO1 100 2 23.740451 22.0411378 9.14683336 3.35923081 0.71024394 0.39095098 5.27059023 75.6594381 11 SAGA1 10 3 1.8836123 2.05222553 1.48404098 0.70119038 0.25123888 0.07419521 1.16685154 16.6133548 9 SAGA1 90 3 12.3409846 27.6623247 15.2599283 4.31969565 0.87562365 0.4439694 8.2544087 78.1569349 9 SAGA1 100 3 7.51692244 10.6974822 6.70804905 2.37974828 0.69384457 0.18274175 4.23753009 41.4163184 9 SAGO1 10 4 1.80554073 1.80288156 1.55234664 1.00819508 0.24035207 0.15880123 0.84970907 17.4178264 10 SAGO1 90 4 13.1925931 44.9431092 13.9990119 5.17717659 1.09414852 0.22170124 6.13968429 94.7674249 10 SAGO1 100 4 7.42711596 17.9339606 7.19246628 3.01548312 0.76338955 0.21027866 3.66378545 50.2064796 10 SAGU1 10 3 2.6718928 0.98864807 2.17542989 1.26814773 1.10131859 0.11259801 1.82623462 20.1442697 10 SAGU1 90 3 7.41697136 5.77253659 9.3680718 3.1355163 3.35291707 0.17971447 7.05080623 46.2765338 10 SAGU1 100 3 4.98757398 2.2285566 4.6679559 2.08393115 2.10822805 0.14518115 4.10052796 30.3219548 10 SAMA1 10 2 17.6748234 2.65952511 4.56371461 1.50998864 0.44672492 0.35668625 2.49608234 40.7075453 11 SAMA1 90 2 90.7926794 4.51903818 21.6605836 5.9924472 0.86628424 0.00019511 2.98868398 137.819912 11 SAMA1 100 2 47.1973649 4.02719378 10.9958425 3.59772315 0.64717068 0.25009765 2.70458364 80.4199762 11 SAPE1 10 4 1.57886582 0.44394555 0.72738722 0.39498146 0.15596408 0.01850988 0.30265949 11.6223135 8 SAPE1 90 4 5.7842361 1.57364948 7.65949976 1.62945639 1.47007806 0.09988502 2.69916097 28.9159658 8 SAPE1 100 4 3.72313039 1.02336181 3.21473266 0.87392259 0.71609944 0.03913854 1.30428118 18.8946666 8 SAWE1 10 3 3.26695801 1.18829847 2.73540617 1.76097524 1.51323459 0.1501146 3.13308145 23.7480685 10 SAWE1 90 3 7.74506937 6.01694194 7.53944207 3.20146778 5.79550243 0.26506945 12.7777106 53.3412037 10 SAWE1 100 3 5.30278368 2.55444594 4.66692605 2.43282821 3.10430545 0.20574778 7.01175474 35.2787918 10 SAWT1 10 4 1.20548973 0.29748644 2.37294341 0.61985599 0.13950856 0.01539151 0.31885905 14.9695347 10 SAWT1 90 4 3.06242523 0.62968067 22.2388282 4.20007662 0.77023155 0.12309517 1.74247994 42.7668174 10 

Page 8
baseline

SAWT1 100 4 2.32909356 0.4618182 8.3461828 1.82019276 0.43161804 0.04121073 0.98842071 24.4185368 10 SENE1 10 5 4.80016565 0.8042745 1.60643711 0.49197708 0.10225806 0.11086878 0.68049757 20.5964787 12 SENE1 90 5 60.7057491 26.933858 13.2564571 4.28713693 0.50969491 0.04892269 1.87045166 119.61227 12 SENE1 100 5 21.697607 8.35244846 6.09968165 1.90626713 0.25895567 0.11712657 1.17029061 51.6023771 12 SEQU1 10 3 2.97344513 3.31946964 3.87966985 1.52099796 0.17435008 0.21874122 1.6878559 24.7745298 11 SEQU1 90 3 17.6000668 64.5136434 22.2165954 6.13259508 0.92878021 0.27640145 6.56245814 129.23054 11 SEQU1 100 3 11.1142885 19.5613241 13.5836388 3.9221981 0.85770989 0.25755666 5.75475014 66.0514663 11 SHEN1 10 5 11.16388 4.16455293 2.86839207 1.59648861 0.15733349 0.14039248 1.0978435 31.1888831 10 SHEN1 90 5 155.50717 5.81969413 16.1026021 5.71710935 0.7246707 0.07283335 2.53799345 196.482073 10 SHEN1 100 5 57.6847665 7.81494948 8.31191609 3.4065274 0.40869555 0.12100469 1.79913908 89.5469988 10 SHRO1 10 2 5.81395389 1.19461321 1.79310694 0.75567976 0.17947624 0.07142869 0.20618464 20.0144434 10 SHRO1 90 2 140.194585 2.3265724 14.5561119 4.02316591 0.83570561 0.17924256 0.95851902 173.073902 10 SHRO1 100 2 49.6809122 2.71459171 7.61435285 2.13638726 0.56798699 0.18498722 0.83591227 73.7351305 10 SIAN1 10 4 2.19369793 0.83098464 2.94104823 1.28131369 0.37213572 0.03881895 0.93614363 18.5941428 10 SIAN1 90 4 6.4122826 2.13803463 11.9681199 2.43618561 2.19054408 0.06606902 5.91270373 41.1239396 10 SIAN1 100 4 4.1405372 1.46771836 6.23556797 1.71316583 1.0781028 0.05250374 2.93989409 27.62749 10 SIKE1 10 2 12.2422567 2.97489243 7.42512773 2.20810417 0.28045164 0.2923117 1.8719508 38.2950952 11 SIKE1 90 2 87.5533228 9.42815346 30.4966914 6.06215217 0.81338681 0.20421429 3.01725223 148.575173 11 SIKE1 100 2 43.0914197 4.99184262 14.8851025 3.60834696 0.69246429 0.3824433 2.91332903 81.5649485 11 SIME1 10 3 3.71588738 0.52926841 0.58575259 0.4333756 0.03013594 3.20771433 1.08339797 21.5855322 12 SIME1 90 3 15.3008064 1.9122314 4.56334036 1.93974722 0.1760917 25.1632702 4.38888773 65.444375 12 SIME1 100 3 9.62853724 1.269431 1.90225153 0.99690608 0.12756007 10.147941 2.57316457 38.6457915 12 SIPS1 10 4 18.4973543 7.05055471 6.45603733 2.62644529 0.42343643 0.10340015 2.11279666 48.2700249 11 SIPS1 90 4 133.035593 8.53063523 23.9768079 6.48403896 0.82152196 0.28758967 3.18623558 187.322422 11 SIPS1 100 4 58.9355132 9.06431229 14.3464182 4.45686921 0.65250906 0.24750077 2.78318286 101.486306 11 SNPA1 10 4 2.60292132 1.15928403 1.06468201 0.88093116 0.05513608 0.5132622 0.20753717 17.483754 11 SNPA1 90 4 17.0811728 11.5634213 15.4055028 4.22127958 0.42202266 0.43542108 1.49622692 61.6250471 11 SNPA1 100 4 9.12745514 5.20563208 5.79232407 2.1939199 0.22678329 0.53925184 0.77920522 34.8645715 11 SPOK1 10 3 3.04914305 1.28435338 4.93219239 1.41218609 0.97137536 0.17842424 2.71440195 25.5420765 11 SPOK1 90 3 11.5749484 16.0401239 49.9142963 7.28685354 2.13255754 0.31103919 4.09700597 102.356825 11 SPOK1 100 3 6.58024832 5.60143932 18.725013 3.42368661 1.92118328 0.17430444 5.04966235 52.4755373 11 STAR1 10 4 2.01743015 0.65272163 1.74336307 0.5395317 0.14113136 0.23154324 0.52989179 15.8556129 10 STAR1 90 4 7.74673657 15.7981291 24.1186476 4.21310505 1.27486353 0.13829381 4.77585412 68.0656298 10 STAR1 100 4 5.04454268 4.7712231 9.04739715 1.96488308 0.60060832 0.28600758 2.45362435 34.1682863 10 SULA1 10 4 1.09354114 0.33904675 0.93664881 0.27787796 0.09828073 0.03037894 0.21054494 12.9863193 10 SULA1 90 4 4.83279837 1.46381177 20.0119586 2.52287862 0.93867421 0.25548081 2.49364774 42.5192501 10 SULA1 100 4 3.081537 0.96496004 6.39290987 1.08902314 0.41929111 0.07026536 1.0757659 23.0937524 10 SWAN1 10 2 12.7382465 2.79900161 3.13922807 1.0831087 0.19384625 1.71621251 3.02908957 36.6987332 12 SWAN1 90 2 84.9064837 6.81791099 19.5774153 4.65980435 0.60118622 0.02616699 3.23341783 131.822385 12 SWAN1 100 2 40.1800208 4.7579613 8.93259799 2.71894348 0.43570615 0.77881677 3.08804078 72.8920872 12 SYCA1 10 4 2.04608436 0.88038872 2.44387952 1.56095482 0.66339643 0.02752556 1.03361833 17.6558477 9 SYCA1 90 4 4.990554 2.02590854 11.6787865 3.1731363 6.77591829 0.12193482 9.38520073 47.1514392 9 SYCA1 100 4 3.99026362 1.6150415 5.99574108 2.39985455 2.78558784 0.0878411 3.76179383 29.6361235 9 TALL1 10 2 6.68904798 4.54456699 3.94265952 1.49853953 0.34557574 0.08599898 2.94642065 31.0528094 11 TALL1 90 2 47.7100866 43.2740003 34.5201681 5.61356159 0.77973258 0.25608198 4.33229391 147.485925 11 TALL1 100 2 25.6512954 17.1616857 13.3426061 3.29527403 0.66991201 0.17156598 4.10583365 75.3981729 11 

Page 9
baseline

THBA1 10 1 2.13865094 0.7678541 1.51978823 0.60990476 0.425799 0.03522877 1.14616 16.6433858 10 THBA1 90 1 8.70744411 6.74728128 8.4820511 1.9625 1.33992758 0.07395227 4.20697636 41.5201327 10 THBA1 100 1 4.98338329 2.48845509 4.01549073 1.37987963 0.85740673 0.02732252 2.97352778 26.7254658 10 THRO1 10 4 3.5408077 1.50685019 1.9869259 0.87691515 0.41835011 0.03985988 2.21833315 21.5880421 11 THRO1 90 4 17.8148678 13.7725228 10.5765482 2.61718984 0.93155989 0.0871824 4.62096994 61.4208409 11 THRO1 100 4 9.20699102 5.51900901 4.90902533 1.60319814 0.73215066 0.09063443 3.53587221 36.5968808 11 THSI1 10 5 1.10145612 0.33836536 0.48554349 0.22121101 0.0308478 0.2402313 0.21429184 13.6319469 11 THSI1 90 5 11.7736353 2.69174008 17.1072434 3.20688657 0.64718492 0.20217242 2.71738295 49.3462456 11 THSI1 100 5 6.11189578 1.40163559 5.8276797 1.40128938 0.27412729 0.37055614 1.25559816 27.642782 11 TONT1 10 3 2.67372389 0.95010694 2.36313252 1.04656763 0.51248436 0.05665345 1.43941011 19.0420789 10 TONT1 90 3 7.07539005 2.984652 8.64501353 2.56791326 2.31712902 0.11135525 7.6681185 41.3695716 10 TONT1 100 3 4.83805657 1.7515444 4.73517907 1.81338374 1.18883967 0.05951942 3.81498104 28.2015039 10 TRCR1 10 3 0.92918646 0.17455883 0.35540325 0.29509118 0.04855335 0.08381432 0.25581917 14.1424266 12 TRCR1 90 3 7.53729174 1.08661166 9.06256153 1.30827778 0.26659284 0.47198139 1.63368583 33.3670028 12 TRCR1 100 3 3.43009687 0.5433158 2.82904529 0.64831339 0.15189242 0.28873818 0.91415157 20.8055535 12 TRIN1 10 3 1.17374597 0.45777718 1.31664439 0.44973532 0.06089279 0.22103428 0.25428614 13.9341161 10 TRIN1 90 3 8.58566381 6.41853045 27.3507495 4.32000556 0.86604081 0.31833515 2.35963667 60.218962 10 TRIN1 100 3 4.5563427 2.16464358 8.78214951 1.67245761 0.42946014 0.28543366 1.15592646 29.0464137 10 TUXE1 10 3 1.06199081 0.39050876 0.39280606 0.19655489 0.03405651 0.53036393 0.33078186 14.9370628 12 TUXE1 90 3 8.74153474 1.78460156 8.87616396 1.17831582 0.14864586 8.24277255 2.48763959 43.4596741 12 TUXE1 100 3 4.30239208 0.94842102 3.04259515 0.65780282 0.09828982 2.66410173 1.23316141 24.946764 12 ULBE1 10 4 1.77274485 0.51491062 1.23858892 0.4743742 0.18317047 0.04682958 0.91666944 16.1472881 11 ULBE1 90 4 9.78367324 8.00832967 12.7636661 2.08271414 0.77236967 0.00633195 4.01027164 48.4273564 11 ULBE1 100 4 5.33159126 2.6184237 4.99023273 1.07039436 0.45620608 0.01607573 2.30350591 27.7864298 11 UPBU1 10 5 8.67599323 4.55104322 4.24337623 1.51085729 0.33748593 0.05813029 2.8113245 33.1882107 11 UPBU1 90 5 83.180259 13.3026193 22.5378802 4.71935049 1.20577765 0.15683513 6.84695693 142.949679 11 UPBU1 100 5 36.447452 10.7852319 11.2378109 2.97876376 0.79240823 0.15898774 4.60830483 78.0089594 11 VIIS1 10 4 4.10759585 0.73954964 0.63193149 0.50901753 0.28424304 2.29653847 3.96918891 23.5380649 11 VIIS1 90 4 10.3060646 2.07500289 1.83616576 1.54553891 5.90177284 7.47954637 15.7080773 55.8521686 11 VIIS1 100 4 7.05140583 1.22461438 1.03303831 0.86651785 1.99068706 4.54094203 7.97329413 35.6804996 11 VILA1 10 2 8.67249914 6.11033066 4.2322156 1.85337945 0.45338113 0.36289267 5.40225107 38.0869497 11 VILA1 90 2 44.3603848 70.6459614 12.8277751 4.75757699 0.67809463 0.58222018 5.55601505 150.408028 11 VILA1 100 2 22.9669978 27.2288683 7.87195922 3.28682343 0.6312535 0.45236739 6.28051793 79.7187877 11 VOYA2 10 5 4.19590846 0.78530166 2.11147395 0.59139568 0.10152497 0.13627224 0.69559196 20.6174689 12 VOYA2 90 5 21.3187214 18.1534346 13.5779012 3.20426872 0.44787646 0.48824122 2.79993302 71.9903766 12 VOYA2 100 5 11.0018129 5.69075888 6.41926007 1.64170857 0.25614004 0.26368157 1.63345505 38.906817 12 WARI1 10 1 2.00916955 1.17563983 2.97140965 1.19186364 0.67722436 0.14131125 1.95927 20.1258883 10 WARI1 90 1 6.51707983 14.2830161 9.44406064 3.78026087 2.45788516 0.76177516 9.26605043 56.5101282 10 WARI1 100 1 4.15818275 4.26667032 5.86243479 2.2952193 1.55752767 0.27758181 5.28361947 33.7012361 10 WASH1 10 5 20.3343789 7.67777493 7.18119121 5.78001309 0.45921016 0.44331689 2.70616542 56.5820507 12 WASH1 90 5 124.383931 27.9810792 33.8986519 12.2973152 1.20093907 1.04743055 4.01639398 216.825741 12 WASH1 100 5 57.5192623 17.6556627 17.4882248 8.72525729 0.76672609 0.81155507 3.28768131 118.25437 12 WEMI1 10 4 1.47590376 0.33804856 1.23740389 0.78591809 0.17498387 0.03875983 0.6504699 13.7014879 9 WEMI1 90 4 4.98555683 1.20609291 8.28727323 2.00293011 1.25354233 0.12662916 2.98954294 29.8515675 9 WEMI1 100 4 3.20894001 0.75784089 3.57091393 1.35448002 0.58354758 0.05090456 1.568013 20.09464 9 WHIT1 10 3 1.89274432 0.45991739 1.33547603 0.57766337 0.18258066 0.0469701 0.85208514 14.347437 9 

Page 10
baseline

WHIT1 90 3 10.5103921 3.04629276 8.96711045 1.81983031 1.89294636 0.16747491 6.67809402 42.0821409 9 WHIT1 100 3 5.40859628 1.33835189 3.99236196 1.09712047 0.91633864 0.10670209 3.22375101 25.0832223 9 WHPA1 10 4 0.89147783 0.24026679 0.25135418 0.14248765 0.02935019 0.13410062 0.14831881 11.8373561 10 WHPA1 90 4 9.91944769 3.05331912 9.63225841 1.79159239 0.56036042 0.38659631 1.74172098 37.0852953 10 WHPA1 100 4 4.70752727 1.35528933 3.04752616 0.73207528 0.22965201 0.26718015 0.7322747 21.0715249 10 WHPE1 10 3 1.16665853 0.34087827 0.77776594 0.39030195 0.12906412 0.05453669 0.48872212 11.3479276 8 WHPE1 90 3 5.26818546 1.63507058 8.36850361 2.18121501 1.74501478 0.47161633 2.76543535 30.4350411 8 WHPE1 100 3 3.31040423 0.99502 3.36204716 1.03922222 0.76416546 0.11744206 1.38021264 18.9685138 8 WHRI1 10 4 1.06376656 0.30606096 0.60278164 0.45241312 0.09644512 0.00523488 0.24862274 10.775325 8 WHRI1 90 4 4.78995337 1.30492742 7.83056698 1.75688657 1.17801117 0.0181055 2.81173918 27.6901902 8 WHRI1 100 4 2.93775727 0.84972396 2.87208028 0.89589013 0.50574705 0.01509367 1.28069531 17.3569877 8 WICA1 10 5 2.57776168 0.80416273 1.42160887 0.70182876 0.23399453 0.01178018 1.05494944 16.8060862 10 WICA1 90 5 13.2047046 6.98198716 13.220048 2.92401874 0.85144374 0.03169733 3.52477947 50.7386791 10 WICA1 100 5 6.89961281 2.74836185 5.24995929 1.45717529 0.51505267 0.02848536 2.15860506 29.0572523 10 WIMO1 10 3 5.10787673 2.79317816 3.59920601 1.27055072 0.31190267 0.09591778 2.68743598 26.8660681 11 WIMO1 90 3 49.1216407 23.7192503 17.2820187 4.46968056 0.78930526 0.15384031 4.644875 111.180611 11 WIMO1 100 3 22.6852927 10.6368032 8.68801689 2.63143771 0.8169865 0.14588347 4.18039145 60.7848119 11 YELL2 10 5 1.47358766 0.72428177 1.12603955 0.31010739 0.10167158 0.01331086 0.24226625 12.9912651 9 YELL2 90 5 4.26256966 1.77266686 13.4822312 2.47916887 0.9511016 0.02005683 2.57865137 34.5464464 9 YELL2 100 5 3.06313265 1.40330022 4.89250588 1.08748189 0.41815955 0.0209596 1.14678218 21.032322 9 YOSE1 10 5 1.36844159 0.55345254 1.16470939 0.39142892 0.09596769 0.12685875 0.45123821 14.1520971 10 YOSE1 90 5 7.9089963 8.07004637 28.9651376 4.79031177 0.88746074 0.09012191 3.97164648 64.6837212 10 YOSE1 100 5 4.94666752 3.26670153 9.94778388 2.09378341 0.49812689 0.12061125 2.23523696 33.1089114 10 ZICA1 10 1 1.77879542 0.72840728 1.62222613 0.6775 0.17698878 0.01287136 0.70223455 15.6990235 10 ZICA1 90 1 6.86944695 2.82322924 5.62829864 1.79486957 1.77129363 0.08082817 5.33019391 34.2981601 10 ZICA1 100 1 4.08910255 1.31235572 3.20942711 1.15007895 0.87603008 0.03812781 2.97942211 23.6545443 10 ZION1 10 3 1.74025624 0.79025339 1.28906855 1.11813859 0.34880798 0.01910614 1.18914672 16.4947776 10 ZION1 90 3 5.28540321 6.86462425 7.25219877 2.60979382 1.74910386 0.0078631 4.85676933 38.6257563 10 ZION1 100 3 3.59493794 2.69567126 3.38476391 1.73518282 0.95122096 0.01889893 2.73049451 25.1111703 10 

Page 11
substituted

site Group _FREQ_

NIA_ Ammonium_

NIA_ Ammonium

_

NIA_ Organic_ext

NIA_ Elemental_ Carbon

_

Ext

NIA_ Fine_Soil_ Ext

NIA_ Sea_Salt_ Ext

NIA_ Coarse

_

Ext

NIA_ Total

_

Ext ss

_

rayleigh DV 

BALD1 10 4 1.6251257 0.41257444 1.22494983 0.62205539 0.1915094 0.00305811 0.46104818 13.5403211 9 2.98031BALD1 90 4 6.19638995 1.12175015 12.9592134 2.80047628 1.14064675 0.04258104 2.83022749 36.091285 9 11.8472BALD1 100 4 3.80012143 0.8180201 4.60059064 1.26817696 0.70223079 0.02981529 1.74699096 21.9659462 9 7.06487BOWA1 10 5 4.10270065 0.7096039 1.90491357 0.56473973 0.13243993 0.15712504 0.66927501 19.2407978 11 6.43256BOWA1 90 5 27.4454893 17.3942071 12.4158634 3.09848048 0.53531018 0.05298298 2.55041316 74.4927466 11 19.5904BOWA1 100 5 12.4782199 5.32889402 6.1757166 1.59997445 0.31318082 0.11803037 1.51916761 38.5331837 11 12.1935BRET1 10 4 17.0483418 3.05038911 3.24707551 1.81468694 0.39881624 1.14354276 3.38382797 41.0866803 11 13.9925BRET1 90 4 97.0377188 8.46809956 11.7236802 5.21083688 1.00211919 0.71362988 3.8022059 138.95829 11 25.9950BRET1 100 4 46.1034911 5.65083798 6.28548182 3.19979065 0.74948985 1.32462925 4.01440921 78.3281298 11 19.58CAPI1 10 5 1.88448202 0.95675158 1.3517718 0.588122 0.33251468 0.0539133 0.95929272 15.1268481 9 4.09655CAPI1 90 5 5.88747649 3.41552266 5.82298627 1.62322763 1.26263728 0.01352987 3.36624807 30.3916283 9 10.8903CAPI1 100 5 3.76125331 1.86041113 3.00200917 1.0203319 0.73627632 0.02024039 1.95091502 21.3514372 9 7.23236CHAS1 10 5 18.3199272 4.16457847 6.31072673 2.91881281 0.56019107 1.01204078 3.34017159 47.6264487 11 15.4900CHAS1 90 5 87.6026129 5.16706756 20.6565449 6.712821 0.88093363 0.2147889 2.98088321 135.215652 11 25.7628CHAS1 100 5 45.2763034 5.02797957 11.8647122 4.76435315 0.80604878 0.53532841 3.36473872 82.6394642 11 20.3864COHU1 10 4 16.1448103 5.17416182 4.81230554 2.00875569 0.24797547 0.14595012 0.96310963 40.4970686 11 13.7331COHU1 90 4 171.574092 3.49671113 22.1090334 5.06031497 0.96276027 0.06154098 1.7827004 216.047153 11 30.2533COHU1 100 4 67.7390803 6.8855009 12.3431453 3.46842555 0.69209882 0.12273091 1.47131671 103.722298 11 21.5957GLAC1 10 5 3.0499653 0.85910719 3.30388455 1.43276064 0.21574784 0.05324344 0.84409389 20.7588029 11 7.21941GLAC1 90 5 11.3687921 9.35967564 87.6799503 11.1965163 1.39793849 0.2766126 5.21940069 137.498886 11 22.2575GLAC1 100 5 7.20576172 3.48837589 24.076723 4.52118842 0.72064161 0.08659971 3.05721574 54.1565061 11 13.6278KAIS1 10 3 1.03966976 0.31340194 1.00106737 0.68618539 0.08964575 0.08092179 0.39668491 12.6075769 9 2.28985KAIS1 90 3 7.62264539 6.96528434 16.8259375 3.42804479 1.10069949 0.11273263 4.28174248 49.3370866 9 15.5257KAIS1 100 3 4.06299288 2.99144572 6.36630309 1.68523733 0.58042397 0.11506936 2.15454505 26.9560174 9 8.62560MING1 10 4 14.2877502 4.62485279 6.15005627 2.26483932 0.41996805 0.0909186 3.10586544 42.9442507 12 14.4138MING1 90 4 100.155931 27.8403971 21.7565626 5.94569735 1.36009827 0.19583215 6.64557428 175.900093 12 28.2762MING1 100 4 46.3480634 14.7604525 12.7909001 4.06288861 0.90849058 0.2523103 4.72867936 95.8517849 12 21.3259MINGW 10 4 13.8494589 4.44432989 6.27150603 2.27694713 0.41808855 0.06302009 3.15368772 42.4770383 12 14.3194MINGW 90 4 104.572364 27.2161647 20.5443094 5.50470163 1.39428075 0.2090317 6.45984416 177.900697 12 28.4186MINGW 100 4 48.1906871 14.0077862 12.6773808 3.95316748 0.96911918 0.26540349 4.84850129 96.9120455 12 21.4017NOCA1 10 4 1.38637954 0.42275466 0.64297674 0.23971811 0.03510894 0.13211802 0.19296044 14.0520164 11 3.36975NOCA1 90 4 14.8707376 2.69456685 33.0229907 3.80607359 0.47921458 0.01118129 1.75202511 67.6367897 11 16.0114NOCA1 100 4 6.84869279 1.28319751 8.4558769 1.32344409 0.18894521 0.16014724 0.79225391 30.0525577 11 8.6812RAFA1 10 5 2.75654222 2.08640065 1.80723273 0.73012548 0.14872537 0.54680759 1.28893593 19.36477 10 6.43022RAFA1 90 5 20.4156975 12.5748913 12.3707181 3.02425868 1.0489201 0.75338061 6.85190612 67.0397724 10 18.8277RAFA1 100 5 10.7490145 7.20284862 6.09577288 1.81301338 0.65788971 0.61455466 4.42364836 41.5567421 10 13.2812SAMA1 10 4 18.5612206 2.77484809 4.92613961 1.73182949 0.52755044 0.60574583 2.31956906 42.4469031 11 14.3065SAMA1 90 4 93.1455258 4.52248893 24.2198907 5.63358944 0.79432701 0.24679873 2.5768858 142.139506 11 26.3055SAMA1 100 4 47.960189 4.12228695 11.7013082 3.53761197 0.70931644 0.67429275 2.53590177 82.2409071 11 20.130SEQU1 10 5 2.95910974 3.46503956 3.86222361 1.48519343 0.17069481 0.15002313 1.60873559 24.7010199 11 8.76279SEQU1 90 5 16.5353273 60.698573 32.4239019 7.01544846 1.07292599 0.22962 7.65371582 136.629512 11 25.3665SEQU1 100 5 10.787337 19.2935921 16.2744431 4.08314596 0.85298025 0.19597984 5.71775933 68.2052375 11 17.3497SHRO1 10 4 7.03226882 1.48338099 2.08368561 0.90708735 0.15287504 0.08628361 0.40829169 22.1538731 10 7.69378SHRO1 90 4 149.042497 2.69372161 14.6205174 3.62021101 0.85052216 0.09652983 1.26335934 182.187358 10 28.4575

Page 1
substituted

SHRO1 100 4 52.5717039 3.01425003 7.51085837 2.11623538 0.55377727 0.10759088 1.05874558 76.9331614 10 17.5072SWAN1 10 4 11.2979498 2.2603446 2.32669732 0.82867828 0.2354791 1.53511069 3.15853185 33.6427917 12 11.9892SWAN1 90 4 83.5169758 5.81649537 14.7932445 3.73435944 0.63207639 0.17869798 3.512634 124.184483 12 24.7449SWAN1 100 4 37.8079738 4.17848535 6.9388916 2.211961 0.40908604 0.84994859 3.22644429 67.6227907 12 17.9392THRO1 10 5 3.81520314 1.52024974 1.97698667 0.93203867 0.39600205 0.03224636 2.19172784 21.8644545 11 7.76244THRO1 90 5 17.5315413 13.7392966 10.8224362 2.74510487 0.8964397 0.06974592 4.81859081 61.6231554 11 17.8027THRO1 100 5 9.29979792 5.48119947 5.04327993 1.70688414 0.70255693 0.07257923 3.63485906 36.9411567 11 12.3186TONT1 10 4 2.78170208 0.92622185 2.315138 1.08518325 0.54255822 0.04300808 1.48531445 19.1791259 10 6.45524TONT1 90 4 7.19017488 3.04757978 9.9653862 2.72888189 2.3795992 0.10521944 7.39975835 42.8165998 10 14.160TONT1 100 4 4.90565659 1.76316876 4.99585867 1.82070497 1.2811599 0.0551145 3.9498563 28.7715197 10 10.089TRIN1 10 4 1.25505813 0.48193845 1.42423621 0.46995659 0.06818598 0.23213596 0.27438125 14.2058926 10 3.43811TRIN1 90 4 8.38209883 6.05634786 35.2592812 4.61318119 0.83355719 0.30396468 2.54221201 67.990643 10 17.3497TRIN1 100 4 4.52714338 2.23526417 10.4170996 1.73050455 0.43758956 0.277473 1.24594301 30.8710172 10 9.24293

Page 2
all_sites

site Group _FREQ_

NIA_ Ammonium_ Sulfate

_

Ext

NIA_ Ammonium_ Nitrate

_

Ext

NIA_ Organic_ext

NIA_ Elemental_ Carbon

_

Ext

NIA_ Fine_Soil_ Ext

NIA_ Sea_Salt_ Ext

NIA_ Coarse

_

Ext

NIA_ Total

_

Ext ss

_

rayleigh DV 

BALD1 10 4 1.6251257 0.41257444 1.22494983 0.62205539 0.1915094 0.00305811 0.46104818 13.5403211 9 2.9BALD1 90 4 6.19638995 1.12175015 12.9592134 2.80047628 1.14064675 0.04258104 2.83022749 36.091285 9 11.BALD1 100 4 3.80012143 0.8180201 4.60059064 1.26817696 0.70223079 0.02981529 1.74699096 21.9659462 9 7.BOWA1 10 5 4.10270065 0.7096039 1.90491357 0.56473973 0.13243993 0.15712504 0.66927501 19.2407978 11 6.4BOWA1 90 5 27.4454893 17.3942071 12.4158634 3.09848048 0.53531018 0.05298298 2.55041316 74.4927466 11 19.BOWA1 100 5 12.4782199 5.32889402 6.1757166 1.59997445 0.31318082 0.11803037 1.51916761 38.5331837 11 12.BRET1 10 4 17.0483418 3.05038911 3.24707551 1.81468694 0.39881624 1.14354276 3.38382797 41.0866803 11 13.BRET1 90 4 97.0377188 8.46809956 11.7236802 5.21083688 1.00211919 0.71362988 3.8022059 138.95829 11 25.BRET1 100 4 46.1034911 5.65083798 6.28548182 3.19979065 0.74948985 1.32462925 4.01440921 78.3281298 11 19BRIG1 10 5 14.8256315 3.85524369 4.54377503 2.41481885 0.23420524 1.35502872 3.2038272 42.4325302 12 14.BRIG1 90 5 127.12736 15.6897514 24.2114722 6.96174332 0.96884952 0.38544149 5.38948033 192.734098 12 29.BRIG1 100 5 51.933377 10.7594486 11.1355651 4.49060841 0.49327722 1.35265423 4.53725993 96.7021905 12 21.CACR1 10 3 8.52642495 4.03943525 4.32885517 1.49876954 0.2491416 0.15652053 1.8156435 31.6147905 11 11.CACR1 90 3 87.0546648 13.7820557 23.4389413 4.80089128 1.1226519 0.17635408 3.72694841 145.102507 11 26.CACR1 100 3 38.872408 9.2259404 11.9485789 2.99810287 0.83377603 0.21492783 3.11237083 78.2061048 11 19.CADI1 10 3 17.8912997 7.37943026 6.72229681 2.48315876 0.32995961 0.46888897 2.61310374 48.8881379 11 15.CADI1 90 3 134.620367 20.0960318 18.8925003 5.98715217 0.89978331 0.24277486 3.44266598 195.181276 11 29.CADI1 100 3 57.8147497 14.5807691 11.9008566 3.9704402 0.61525041 0.2971954 3.04030324 103.219565 11 22.CAPI1 10 5 1.88448202 0.95675158 1.3517718 0.588122 0.33251468 0.0539133 0.95929272 15.1268481 9 4.0CAPI1 90 5 5.88747649 3.41552266 5.82298627 1.62322763 1.26263728 0.01352987 3.36624807 30.3916283 9 10.CAPI1 100 5 3.76125331 1.86041113 3.00200917 1.0203319 0.73627632 0.02024039 1.95091502 21.3514372 9 7.2CHAS1 10 5 18.3199272 4.16457847 6.31072673 2.91881281 0.56019107 1.01204078 3.34017159 47.6264487 11 15.CHAS1 90 5 87.6026129 5.16706756 20.6565449 6.712821 0.88093363 0.2147889 2.98088321 135.215652 11 25.CHAS1 100 5 45.2763034 5.02797957 11.8647122 4.76435315 0.80604878 0.53532841 3.36473872 82.6394642 11 20.COHU1 10 4 16.1448103 5.17416182 4.81230554 2.00875569 0.24797547 0.14595012 0.96310963 40.4970686 11 13.COHU1 90 4 171.574092 3.49671113 22.1090334 5.06031497 0.96276027 0.06154098 1.7827004 216.047153 11 30.COHU1 100 4 67.7390803 6.8855009 12.3431453 3.46842555 0.69209882 0.12273091 1.47131671 103.722298 11 21.DOSO1 10 5 14.3474889 3.1030299 4.87547789 2.05302256 0.17822445 0.11853216 0.73362208 35.4093979 10 12.DOSO1 90 5 160.524603 3.39654119 13.3758126 4.6819667 0.77293726 0.11757404 1.73537221 194.604807 10 29.DOSO1 100 5 61.4028261 4.96814495 9.45163896 3.40167016 0.43515387 0.13283436 1.3137608 91.1060292 10 20.EVER1 10 4 9.56710559 2.19643704 3.50161454 1.12170697 0.39210971 1.85012578 2.69406643 32.3231661 11 11.EVER1 90 4 42.5106796 4.83421881 47.0543124 5.90806223 0.93914528 1.20058406 2.98881992 116.435822 11 22.EVER1 100 4 21.7605675 3.4167147 13.1944676 2.72550181 0.95006418 1.78559 3.39404576 58.2269515 11 16.GLAC1 10 5 3.0499653 0.85910719 3.30388455 1.43276064 0.21574784 0.05324344 0.84409389 20.7588029 11 7.2GLAC1 90 5 11.3687921 9.35967564 87.6799503 11.1965163 1.39793849 0.2766126 5.21940069 137.498886 11 22.GLAC1 100 5 7.20576172 3.48837589 24.076723 4.52118842 0.72064161 0.08659971 3.05721574 54.1565061 11 13.GRSM1 10 5 16.4192611 3.94124187 4.8900243 2.21595522 0.19877762 0.20249997 1.32175386 40.189514 11 13.GRSM1 90 5 172.722896 3.39393246 20.6404041 5.68792833 0.80146798 0.15045439 1.9409702 216.338053 11 30.GRSM1 100 5 68.1615899 5.74543943 11.7024291 3.80043486 0.52265007 0.1636443 1.95681087 103.052999 11 21.HEGL1 10 3 10.8467784 4.8947091 5.10657365 2.00980556 0.32181952 0.15062557 2.25036167 36.5806734 11 12.HEGL1 90 3 87.9377189 17.9135683 25.2690855 5.22359667 0.91807118 0.19237212 2.78376817 151.238181 11 26.HEGL1 100 3 39.6959814 11.6965428 12.4638598 3.33415349 0.72579375 0.15019393 2.82090002 81.8874251 11 19JARI1 10 4 17.4757578 3.73458944 5.56038948 2.96875873 0.24519715 0.0726294 1.23431699 42.291639 11 14.JARI1 90 4 136.357494 7.76821097 22.838811 7.42877406 0.83672227 0.23711437 3.01795228 189.485079 11 29.

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JARI1 100 4 57.1494579 6.88732705 13.3632593 5.19773326 0.52347327 0.11794302 2.06210778 96.3013016 11 21.KAIS1 10 3 1.03966976 0.31340194 1.00106737 0.68618539 0.08964575 0.08092179 0.39668491 12.6075769 9 2.KAIS1 90 3 7.62264539 6.96528434 16.8259375 3.42804479 1.10069949 0.11273263 4.28174248 49.3370866 9 15.KAIS1 100 3 4.06299288 2.99144572 6.36630309 1.68523733 0.58042397 0.11506936 2.15454505 26.9560174 9 8.6LIGO1 10 4 11.287135 2.24541641 3.78053932 1.78825155 0.16004265 0.10967149 0.81877106 31.1898274 11 11.LIGO1 90 4 146.018626 2.26363494 16.064383 5.1760324 0.75172378 0.13181579 2.18525678 183.591473 11 28.LIGO1 100 4 56.4085413 3.31779331 10.0200013 3.48810335 0.46291612 0.16292232 1.6509683 86.5112461 11 19.MACA1 10 5 22.1024849 8.78073402 6.30325136 3.02378826 0.3248883 0.08961229 1.37066849 52.9954276 11 1MACA1 90 5 188.922495 9.74434705 22.2753207 6.222325 0.93425795 0.08963338 2.167129 241.355508 11 31.MACA1 100 5 75.8201227 14.1049862 12.8929836 4.47887239 0.60180328 0.1119386 1.830564 120.841271 11 23.MING1 10 4 14.2877502 4.62485279 6.15005627 2.26483932 0.41996805 0.0909186 3.10586544 42.9442507 12 14.MING1 90 4 100.155931 27.8403971 21.7565626 5.94569735 1.36009827 0.19583215 6.64557428 175.900093 12 28.MING1 100 4 46.3480634 14.7604525 12.7909001 4.06288861 0.90849058 0.2523103 4.72867936 95.8517849 12 21.MINGW 10 4 13.8494589 4.44432989 6.27150603 2.27694713 0.41808855 0.06302009 3.15368772 42.4770383 12 14.MINGW 90 4 104.572364 27.2161647 20.5443094 5.50470163 1.39428075 0.2090317 6.45984416 177.900697 12 28MINGW 100 4 48.1906871 14.0077862 12.6773808 3.95316748 0.96911918 0.26540349 4.84850129 96.9120455 12 21.NOCA1 10 4 1.38637954 0.42275466 0.64297674 0.23971811 0.03510894 0.13211802 0.19296044 14.0520164 11 3.3NOCA1 90 4 14.8707376 2.69456685 33.0229907 3.80607359 0.47921458 0.01118129 1.75202511 67.6367897 11 16.NOCA1 100 4 6.84869279 1.28319751 8.4558769 1.32344409 0.18894521 0.16014724 0.79225391 30.0525577 11 8.6OKEF1 10 5 19.6889678 3.66350601 6.83919366 2.17343059 0.44035761 0.7104418 2.17197593 46.6878734 11 15.OKEF1 90 5 102.858857 4.88176517 30.3121285 6.18498824 0.84342916 0.23483061 3.08252015 159.398519 11 27.OKEF1 100 5 49.9378918 4.78673611 14.872967 3.82347158 0.70466329 0.62618634 2.86470441 88.6166205 11 20.RAFA1 10 5 2.75654222 2.08640065 1.80723273 0.73012548 0.14872537 0.54680759 1.28893593 19.36477 10 6.4RAFA1 90 5 20.4156975 12.5748913 12.3707181 3.02425868 1.0489201 0.75338061 6.85190612 67.0397724 10 18.RAFA1 100 5 10.7490145 7.20284862 6.09577288 1.81301338 0.65788971 0.61455466 4.42364836 41.5567421 10 13.ROMA1 10 5 15.653369 3.11611859 4.66392408 1.65999439 0.27472149 2.1537209 2.88966057 42.411509 12 14.ROMA1 90 5 96.5310224 5.3239613 23.7855709 5.73620591 0.58575747 0.1503649 3.21767424 147.330557 12 26.ROMA1 100 5 46.5902822 4.81364933 12.2168289 3.88504291 0.49764975 1.29105207 3.17904355 84.4735487 12 20.SAMA1 10 4 18.5612206 2.77484809 4.92613961 1.73182949 0.52755044 0.60574583 2.31956906 42.4469031 11 14.SAMA1 90 4 93.1455258 4.52248893 24.2198907 5.63358944 0.79432701 0.24679873 2.5768858 142.139506 11 26.SAMA1 100 4 47.960189 4.12228695 11.7013082 3.53761197 0.70931644 0.67429275 2.53590177 82.2409071 11 20.SEQU1 10 5 2.95910974 3.46503956 3.86222361 1.48519343 0.17069481 0.15002313 1.60873559 24.7010199 11 8.7SEQU1 90 5 16.5353273 60.698573 32.4239019 7.01544846 1.07292599 0.22962 7.65371582 136.629512 11 25.SEQU1 100 5 10.787337 19.2935921 16.2744431 4.08314596 0.85298025 0.19597984 5.71775933 68.2052375 11 17.SHEN1 10 5 11.16388 4.16455293 2.86839207 1.59648861 0.15733349 0.14039248 1.0978435 31.1888831 10 10.SHEN1 90 5 155.50717 5.81969413 16.1026021 5.71710935 0.7246707 0.07283335 2.53799345 196.482073 10 29.SHEN1 100 5 57.6847665 7.81494948 8.31191609 3.4065274 0.40869555 0.12100469 1.79913908 89.5469988 10 19.SHRO1 10 4 7.03226882 1.48338099 2.08368561 0.90708735 0.15287504 0.08628361 0.40829169 22.1538731 10 7.6SHRO1 90 4 149.042497 2.69372161 14.6205174 3.62021101 0.85052216 0.09652983 1.26335934 182.187358 10 28.SHRO1 100 4 52.5717039 3.01425003 7.51085837 2.11623538 0.55377727 0.10759088 1.05874558 76.9331614 10 17.SIPS1 10 4 18.4973543 7.05055471 6.45603733 2.62644529 0.42343643 0.10340015 2.11279666 48.2700249 11 15.SIPS1 90 4 133.035593 8.53063523 23.9768079 6.48403896 0.82152196 0.28758967 3.18623558 187.322422 11 29.SIPS1 100 4 58.9355132 9.06431229 14.3464182 4.45686921 0.65250906 0.24750077 2.78318286 101.486306 11 21.SWAN1 10 4 11.2979498 2.2603446 2.32669732 0.82867828 0.2354791 1.53511069 3.15853185 33.6427917 12 11.SWAN1 90 4 83.5169758 5.81649537 14.7932445 3.73435944 0.63207639 0.17869798 3.512634 124.184483 12 24.SWAN1 100 4 37.8079738 4.17848535 6.9388916 2.211961 0.40908604 0.84994859 3.22644429 67.6227907 12 17THRO1 10 5 3.81520314 1.52024974 1.97698667 0.93203867 0.39600205 0.03224636 2.19172784 21.8644545 11 7.7

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THRO1 90 5 17.5315413 13.7392966 10.8224362 2.74510487 0.8964397 0.06974592 4.81859081 61.6231554 11 17.THRO1 100 5 9.29979792 5.48119947 5.04327993 1.70688414 0.70255693 0.07257923 3.63485906 36.9411567 11 12.TONT1 10 4 2.78170208 0.92622185 2.315138 1.08518325 0.54255822 0.04300808 1.48531445 19.1791259 10 6.4TONT1 90 4 7.19017488 3.04757978 9.9653862 2.72888189 2.3795992 0.10521944 7.39975835 42.8165998 10 14.TONT1 100 4 4.90565659 1.76316876 4.99585867 1.82070497 1.2811599 0.0551145 3.9498563 28.7715197 10 10.TRIN1 10 4 1.25505813 0.48193845 1.42423621 0.46995659 0.06818598 0.23213596 0.27438125 14.2058926 10 3.4TRIN1 90 4 8.38209883 6.05634786 35.2592812 4.61318119 0.83355719 0.30396468 2.54221201 67.990643 10 17.TRIN1 100 4 4.52714338 2.23526417 10.4170996 1.73050455 0.43758956 0.277473 1.24594301 30.8710172 10 9.2UPBU1 10 5 8.67599323 4.55104322 4.24337623 1.51085729 0.33748593 0.05813029 2.8113245 33.1882107 11 11.UPBU1 90 5 83.180259 13.3026193 22.5378802 4.71935049 1.20577765 0.15683513 6.84695693 142.949679 11 26.UPBU1 100 5 36.447452 10.7852319 11.2378109 2.97876376 0.79240823 0.15898774 4.60830483 78.0089594 11 19.

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