**DRAFT(nomads_datamin02.doc)**

**National Centers for Environmental Modeling**

**Environmental Modeling Center**

**DATA DOCUMENTATION**

**FOR**

**NOAA Operational Modeling Archive Distributed System**

**(NOMADS)**

**The Global Model and Cycling Analysis Rerun and Retrospective data
set**

**DATA SET 6172**

**November 2001**

*Prepared for*

*the National Climatic Data Center (NCDC)*

*by*

*Jordan C. Alpert*

*NOAA/NWS*

*NCEP/EMC*

*5200 Auth Road*

*Camp Springs, MD 20746*

*(301) 763-8000x7205*

*http://www.ncep.noaa.gov*

Table of Contents

TOPIC PAGE

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INTRODUCTION

1\. Data Set ID\...\...\...\...\...\...\...\...\...\...\...\..... 3

2\. Data Set Name\...\...\...\...\...\...\...\...\...\...\...\... 3

3\. Data Set Aliases\...\...\...\...\...\...\...\...\...\...\... 3

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DESCRIPTION

4\. Content of the Archived Data\...\...\...\...\...\...\... 3

5\. Access Method for Archived Data\...\...\...\...\...\... 5

6\. Element Names and Definitions\...\...\...\...\...\..... 9

7\. Start Date\...\...\...\...\...\...\...\...\...\...\...\...\... 9

8\. Stop Date\...\...\...\...\...\...\...\...\...\...\...\...\.... 9

9\. Coverage\...\...\...\...\...\...\...\...\...\...\...\...\.... 9

10\. Location\...\...\...\...\...\...\...\...\...\...\...\...\.... 9

11\. Keyword\...\...\...\...\...\...\...\...\...\...\...\...\..... 9

12\. How to Order Data\...\...\...\...\...\...\...\...\...\.... 10

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DATA CENTER

13\. Archiving Data Center\...\...\...\...\...\...\...\...\... 10

14\. Technical Contact\...\...\...\...\...\...\...\...\...\.... 10

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DATA QUALITY

15\. Known Problems\...\...\...\...\...\...\...\...\...\...\.... 10

16\. Quality Statement\...\...\...\...\...\...\...\...\...\.... 10

17\. Revision Date \...\...\...\...\...\...\...\...\...\...\.... 10

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OTHER DATA SETS

18\. Source Data Sets\...\...\...\...\...\...\...\...\...\..... 10

19\. Essential Companion Data Sets\...\...\...\...\...\.... 10

20\. Derived Data Sets\...\...\...\...\...\...\...\...\...\.... 10

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SUMMARIZATION

21\. References\...\...\...\...\...\...\...\...\...\...\...\..... 11

22\. Summary\...\...\...\...\...\...\...\...\...\...\...\...\..... 11

1\. **[Data Set ID:]{.underline}**

6172

2\. [**Data Set Name**:]{.underline}

The Global Model and Cycling Analysis Rerun and Retrospective data
archive

3\. **[Data Set Aliases:]{.underline}**

Global model analysis, Global Spectral Initial Conditions, Statistical
Spectral Interpolation start-up files, Rerun or Retrospective files for
analysis and model initialization.

4\. **[Contents of the Archived Data:]{.underline}**

The archived data set contains the minimum starting conditions for
either the NCEP Operational Spectral Statistical Interpolation (SSI)
cycling analysis and/or the Global Spectral Model (GSM). There are two
types of files within the data set, Observations and restart files. The
observation files are divided into BUFR files and IEEE files. The BUFR
files are documented below. The remaining IEEE files are from remote
sensing sources and are in the process of being converted to BUFR. We
expect that only experts will access these files directly and this would
be done through web based ftp services in the NOMADS system. However, a
POST program for converting the model restart files from Spectral
coefficients, on sigma vertical coordinate and gaussian grids to
latitude/longitude, on standard pressure surfaces will be part of the
NOMADS system.

The restart files are binary files that will be of interest to modelers
or experts who want to obtain unchanged direct model results, that is,
in the models own coordinate. Restart files will ordinarily transformed
to pressure coordinate, longitude/latitude, GRIB grid data fields by a
program called POST. The POST program is run and the server systems
should present the GRIB grid data results transparently to users. A POST
program will be supplied and documented elsewhere.

The documentation from the web page

[http://www.emc.ncep.noaa.gov/mmb/papers/keyser/data_processing]{.underline}

by Dennis Keyser is shown below. It contains information on how

to read BUFR files and details of the processing in NCEP Operations.

> Observational Data Processing at NCEP

Dennis Keyser ‑ NOAA/NWS/NCEP/EMC

> (Last Revised 10/26/2001)

Most of the observational data at NCEP are stored in WMO BUFR format.
This format is an international standard and provides an efficient means
for transferring data. In addition it allows for great flexibility for
adding new observation elements.

There are a series of tables associated with BUFR. Table A defines the
data category associated with a particular BUFR message containing
report data. Table B classifies and defines data elements, or
descriptors, according to scale, reference value, number of bits and
units. Table C defines data description operators. Table D defines the
list of common sequences. In addition, there are BUFR code and flag
tables as well as code tables common to BUFR and other binary and
alphanumeric codes. The need for external tables can make the process
for BUFR data encoding and decoding quite cumbersome for a typical user.

As such, a special application has been designed at NCEP which provides
user‑friendly access to the BUFR files through a series of FORTRAN
subroutines in a machine independent BUFR library (called BUFRLIB).
These routines allow one to encode or decode data into BUFR using
mnemonics to represent the data. The mnemonics are associated with BUFR
descriptors in a special version of the Tables A, B and D (Table C is
not yet included). When a BUFR file is created, the mnemonic table is
read in from an external location and is itself encoded into BUFR
messages at the top of the output file. These messages have Table A data
category (message type) 11 (BUFR tables). This allows each BUFR file to
be ?self defined?. No external tables are needed to decode data out of
the file.

NCEP Central Operations has written a BUFRLIB software user guide which
provides a detailed explanation of the NCEP BUFRLIB subroutines along
with other useful information on BUFR as it is used at NCEP.
(http://www.ncep.noaa.gov/NCO/DMQAB/Decoders/BUFRLIB/)

Next is a brief outline on the current method for processing
observations that arrive at NCEP. Its main function is to provide links
to web pages which discuss each item in detail.

1a. Raw bulletins arrive at NCEP on the GTS and are ingested into the
database on the NCEP IBM‑SP machine. Most of the data are stored in WMO
BUFR format. (http://www.ncep.noaa.gov/NCO/DMQAB/Decoders/)

‑ or ‑‑

1b. Most Satellite data are transferred directly from various NESDIS
servers and then ingested into the BUFR database.
(http://www.emc.ncep.noaa.gov/mmb/papers/keyser/satellite_ingest.doc/document.htm)

2\. Each NCEP network performs a time‑windowed dump of data from the
database at the scheduled data cutoff time.
(http://www.emc.ncep.noaa.gov/mmb/papers/keyser/data_dumping.doc/document.htm)

3\. A series of programs process the observations into a monolithic,
quality controlled file known as the \"PREPBUFR\" file.
(http://www.emc.ncep.noaa.gov/mmb/papers/keyser/prepbufr.doc/document.htm)

4\. The PREPBUFR file is then read by the analysis codes.

(Global SSI analysis system documentation can be found at:
http://sgi62.wwb.noaa.gov:8080/RTPUB/research/jhtml/ssi3.html )

Here are some other links to my web sites devoted to data processing:

PREPBUFR Report Types used by Global/SSI (Aviation and Final) systems

PREPBUFR Report Types used by Global CDAS/reanalysis systems

PREPBUFR Report Types used by ETA/3DVAR (EDAS, Eta and NGM) systems

PREPBUFR Report Types used by upper‑air Rapid Update Cycle (RUC‑2 A and
B) systems

Summary of Virtual Temperature Processing in PREPBUFR

RAOB/PIBAL Balloon Drift Processing in PREPBUFR

Sample program to decode reports from PREPBUFR file

Summary of Changes to the PREPDATA Program

BUFR Table B Descriptors and Mnemonics in NCEP Observational Database

Satellite Historical Documentation

NMC Office Note 29

NMC Office Note 124

5\. **[Access Method for Archived Data:]{.underline}**

**The NCEP Global Spectral Model (GSM) files transmitted to NCDC
represent the first operational model restart and retrospective archive.
The entire data set of model run history is too large to keep at this
time. Thus, we have devised the minimum set necessary to regenerate, as
closely as possible, an operational run with the NCEP system and allow
for other test beds to utilize, run experiments, and other models to
initialize from this data set. The data set consists of conventional and
remote sensed observations made ready to start NCEP cycling analysis
ssytem. Other NCEP operational models in addition to the GSM, such as
the Eta and WRF regional models are coming soon. Additional data sets
consisting of model run history in GRIB pressure vertical coordinate on
a longitude/latitude grid** will be present as determined by NOMADS
panel.

In addition, using the POST program, the restart files are converted to
GRIB data sets. The information contained in restart (in this case GSM
sigma files) files represent the final analysis of conventional and
remote sensed observations in the models vertical sigma coordinate and
spectral coefficients. This file is needed to rerun NCEP models and
analysis. The POST program changes this file to standard WMO GRIB
containing fields in pressure vertical coordinate on a
longitude/latitude grid. The GRIB data set can be used as a verification
set. The conventional and remote sensed observations including quality
control are part of the minimum set to restart the analysis cycling
system or to start models directly from theses initial conditions..

The analysis, initial condition and predicted fields on the model sigma
levels are interpolated to the standard pressure levels in the POST
program. The input file consists of the sigma level dependent variables
and the output file consists of the pressure level variables in WMO
standard GRIB. The file also contains several processed arrays (e.g.
boundary layer parameters and tropopause parameters).

The Sigma file Contains (Table 1a) atmospheric variables on sigma
surface and model sigma levels as well as topography. This file is the
input to the POST program. Fixed fields are found in the Surface file
(Table 1b). Normally, the Surface file and Sigma file are for internal
use at NCEP and other designated test bed facilities for creating
analysis/model reruns. The are made available to modelers and experts in
this Araw@ form if no interpolations or conversions are needed. We do
not expect that these data sets will be directly accessed at the user
level however, modelers and experimenters who wish to examine the
analysis and initial conditions without any interpolations can obtain
the data through web based ftp.

**Table 1a: Structure of a Sigma File**

  -------------------------------------------------------------------------------
  **Sigma File    **Contents**                      **Length        **Type**
  (record                                           (bytes)**       
  number)**                                                         
  --------------- --------------------------------- --------------- -------------
  **1**           **see NMC Office Note 85**        **32**          **binary**

  **2**           **forecast hour**                 **4**           **real**

                  **initial hour**                  **4**           **integer**

                  **initial month**                 **4**           **\"**

                  **initial day**                   **4**           **\"**

                  **initial year**                  **4**           **\"**

                  **sigma levels ^(1)^**            **(KDIM + 1) x  **real**
                                                    4**             

                  **sigma layers ^(2)^**            **KDIM x 4**    **\"**

  **3**           **Orography in meters (spherical  **MDIM x 4**    **\"**
                  coefficients)**                                   

  **4**           **Spherical coefficients of ln    **\"**          **\"**
                  (p~s~) , where p~s~ is surface                    
                  pressure (cb)**                                   

  **5-22**        **Temperature (K) in model       **\"**          **\"**
                  layers 1-KDIM (spherical                          
                  coefficients)**                                   

  **23,24**       **Divergence and Vorticity        **\"**          **\"**
                  alternating through layer                         
                  1\....**                                          

  **\...57,58**   **\....thru layer KDIM**          **\"**          **\"**

  **59-70**       **Specific humidity in model      **\"**          **\"**
                  layers 1-KDIM (spectral                           
                  coefficients)**                                   
  -------------------------------------------------------------------------------

**Note all the spherical coefficients are stored in this order: real
part, imaginary part, N-S index and E-W wavenumber.**

**l) Sigma levels are the level starting from** σ **=l at the surface
and ending at** σ **=0 at the top. Only derived quantities, (vertical
velocity, various fluxes) are defined on these levels.**

**2) Sigma layers are where dependent variables (T, D,** ζ **, u, v, q)
are defined**

> **Table 1b: Structure of a Surface File**

  -------------------------------------------------------------------------
  **Surface   **Contents**                          **Length    **Type**
  File                                              (bytes)**   
  (record                                                       
  number)**                                                     
  ----------- ------------------------------------- ----------- -----------

  -------------------------------------------------------------------------

  ----------- ------------------------------------- ----------- -------------
  **1**       **see NMC Office Note 85**            **32**      **binary**

  **2**       **Forecast hour**                     **4**       **real**

              **Initial hour**                      **4**       **integer**

              **Initial month**                     **4**       **\"**

              **Initial day**                       **4**       **\"**

              **Initial year**                      **4**       **\"**

  **3**       **Surface temperature**               **IDIM x    **real**
                                                    JDIM x 4**  

  **4**       **Soil wetness**                      **\"**      **\"**

  **5**       **Snow depth**                        **\"**      **\"**

  **6**       **Sub-surface temperature , layer 1   **\"**      **\"**
              (TG1)**                                           

  **7**       **Sub-surface temperature , layer 2   **\"**      **\"**
              (TG2)**                                           

  **8**       **Sub-surface temperature , layer 3   **\"**      **\"**
              (TG3)**                                           

  **9**       **Surface roughness length**          **\"**      **\"**

  **10**      **Surface background albedo^(1)^**    **\"**      **\"**

  **11**      **Surface-type mask^(2)^**            **\"**      **\"**

  **12**      **High cloud fraction**               **\"**      **\"**

  **13**      **Middle cloud fraction**             **\"**      **\"**

  **14**      **Low cloud fraction**                **\"**      **\"**
  ----------- ------------------------------------- ----------- -------------

**Note: All are gaussian gridded arrays of IDIM x JDIM, where I=1 is 0E
(then eastward) and J=1 is near the North Pole (then southward).**

**(l) Albedo is the background albedo that is modified by snow cover.**

**(2) Ocean = 0., land = l., and sea ice = 2.**

6\. **[Element Names and Definitions:]{.underline}**

See Office Note 388 and its supplement (1998) Table 2 AParameters and
Units@ pp 45-52.

7\. **[Start Date:]{.underline}** To be determined

DATA AVAILABILITY: To be determined

10\. **[Location:]{.underline}**

a\. Global

11\. **[Keywords:]{.underline}**

12\. **[How to Order Data:]{.underline}**

The cost for this data when accessed through NOMADS system servers or
associated ftp web based services is free. For more information contact:

National Climatic Data Center

151 Patton Avenue

Asheville, NC 28801-5001

Phone 828-271-4800

FAX 828-271-4876

e-mail orders@ncdc.noaa.gov

13\. **[Archiving Data Center:]{.underline}**

National Climatic Data Center

151 Patton Avenue

Asheville, NC 28801-5001

14\. **[Technical Contact:]{.underline}**

Jordan C. Alpert

NOAA/NWS/NCEP/EMC

5200 Auth Road, Rm. 207

Camp Springs, MD 20746

jordan.alpert@noaa.gov

\(301\) 763-8000 x7205

http://www.ncep.noaa.gov

15\. **[Known Uncorrected Problems:]{.underline}**

16\. **[Quality Statement:]{.underline}**

17\. **[Revision Date:]{.underline}**

23 November 2001

18\. **[Source Data Sets:]{.underline}**

19\. **[Essential Companion Data Sets:]{.underline}**

20\. **[Derived Data Sets:]{.underline}**

21\. **[References:]{.underline}**

[Kanamitsu, M., 1989: Description of the NMC Global Data Assimilation
and Forecast System, Weather and Forecasting, 4(335-342).]{.underline}

[Sela, J.G., 1980: Spectral modeling at the National Meteorological
Center, Mon. Wea. Rev., 108 (1279-1292).]{.underline}

22\. **[Summary:]{.underline}**

The National Weather Service\'s National Center for Environmental
Prediction (NCEP) runs a series of computer analyses and forecasts
operationally. One of the primary operational systems is the Global Data
Assimilation System (Kanamitsu, 1989), which uses the spectral Medium
Range Forecast model (MRF) for the forecast (Sela, 1980). In simple
terms, for each run, unequally spaced conventional and remote sensed
observations are assimilated with \"first guess\" data fields (forecasts
from the previous model run), and dynamic imbalances in the data are
reduced, resulting in \"analyzed\" data fields. Then the forecast is
made. The analyzed data provides an optimal representation of the real
atmosphere on a grid or spectral coefficients of spherical harmonics.
These can be compared to observations which have limitations due to
measurement error or other instrument problems, and nonuniform spatial
and temporal distributions of the observations.

ORIGIN OF DATA

The enclosed rerun/retrospective source data sets contains the NCEP
operational ready observation and restart files necessary to begin the
Spectral Statistical Interpolation (SSI) cycling analysis. The
collection of observations, conventional and remote sensed with the
previous model forecasts which are used as a Aguess@ and restart files
can be used to rerun the analysis cycling or global forecast system.

NCEP post-processing of model run history using the POST program is used
to convert the restart files to pressure coordinate, longitude/latitude
GRIB grids.

The archiving program extracts 4 times a day minimum restart file set
from the NCEP operational communication directory. In particular, each
data set contains:

1\) Conventional and remote sensed observations acted upon by the NCEP
anlaysis SSI program which exercise quality control, windowing,
filtering, etc\... at 00Z, 06Z, 12Z and 18Z,

2\) The model restart files (sometimes called siganl and sfcanl) are
present in the archive only at 00Z.

From 2) one can start the model and integrate for 6 hours creating a 6
hour Aguess@ which with 1) can be used to start the SSI to create the
next analysis file at that time. The 6 hr analysis file in turn can
(re-)start the model creating the next 6 hr Aguess@ and so on creating
initial conditions. In this way the data set represents the minimum set
of Observations and restart files to reconstruct, as closely as
possible, the NCEP Operational (in this case) global model suite. The
data set names and size (bytes) are in Table 2. At a time when disk
space is a premium comparted to CPU resources, the minimum set
represents a way to provide model data sets in their original forms as
well as post processed fields and their components.

> Table 2: List of files and file size of the minimum data set for the
> NCEP SSI and GSM. There are links to a few files because of past name
> usage. The size of the data set is 370Mb.

YYYY is the year

MM is the month

DD is the day

8279556 a1bn15.YYYYMMDD00

4285516 a1bn15.YYYYMMDD06

8275464 a1bn15.YYYYMMDD12

8245952 a1bn15.YYYYMMDD18

4865340 a1bn16.YYYYMMDD00

6552112 a1bn16.YYYYMMDD06

8427612 a1bn16.YYYYMMDD12

5999196 a1bn16.YYYYMMDD18

8349304 adpsfc.YYYYMMDD00

8290720 adpsfc.YYYYMMDD06

8271520 adpsfc.YYYYMMDD12

8091792 adpsfc.YYYYMMDD18

1184696 adpupa.YYYYMMDD00

161904 adpupa.YYYYMMDD06

1166256 adpupa.YYYYMMDD12

136472 adpupa.YYYYMMDD18

2337856 aircar.YYYYMMDD00

1625448 aircar.YYYYMMDD06

1771112 aircar.YYYYMMDD12

2129384 aircar.YYYYMMDD18

651560 aircft.YYYYMMDD00

747808 aircft.YYYYMMDD06

1025112 aircft.YYYYMMDD12

936664 aircft.YYYYMMDD18

10083900 b1bn15.YYYYMMDD00

5174856 b1bn15.YYYYMMDD06

10242828 b1bn15.YYYYMMDD12

10057440 b1bn15.YYYYMMDD18

6010992 b1bn16.YYYYMMDD00

8086212 b1bn16.YYYYMMDD06

10319436 b1bn16.YYYYMMDD12

7361712 b1bn16.YYYYMMDD18

7668 biascr.YYYYMMDD00

19 gdas1.t00z.bufprepda ‑\> gdas1.t00z.prepbufr

19256208 gdas1.t00z.prepbufr

17 gdas1.t00z.sanl ‑\> siganl.YYYYMMDD00

17 gdas1.t00z.sfcanl ‑\> sfcanl.YYYYMMDD00

4830968 goesnd.YYYYMMDD00

8073424 goesnd.YYYYMMDD06

8217080 goesnd.YYYYMMDD12

9033792 goesnd.YYYYMMDD18

5827488 h1bn14.YYYYMMDD00

4626384 h1bn14.YYYYMMDD06

5693424 h1bn14.YYYYMMDD12

5620848 h1bn14.YYYYMMDD18

5492400 h1bn15.YYYYMMDD00

2857776 h1bn15.YYYYMMDD06

5556048 h1bn15.YYYYMMDD12

5577648 h1bn15.YYYYMMDD18

3240240 h1bn16.YYYYMMDD00

4373376 h1bn16.YYYYMMDD06

5637840 h1bn16.YYYYMMDD12

3952032 h1bn16.YYYYMMDD18

226884 icegrb.YYYYMMDD00

226884 icegrb.YYYYMMDD06

226884 icegrb.YYYYMMDD12

226884 icegrb.YYYYMMDD18

770032 m1bn14.YYYYMMDD00

606272 m1bn14.YYYYMMDD06

772352 m1bn14.YYYYMMDD12

733632 m1bn14.YYYYMMDD18

309800 osbuvb.YYYYMMDD00

284824 osbuvb.YYYYMMDD06

344760 osbuvb.YYYYMMDD12

327720 osbuvb.YYYYMMDD18

160120 proflr.YYYYMMDD00

157040 proflr.YYYYMMDD06

159648 proflr.YYYYMMDD12

161168 proflr.YYYYMMDD18

276192 qkswnd.YYYYMMDD00

270816 qkswnd.YYYYMMDD06

192416 qkswnd.YYYYMMDD12

350888 qkswnd.YYYYMMDD18

7662616 satwnd.YYYYMMDD00

5937184 satwnd.YYYYMMDD06

6222816 satwnd.YYYYMMDD12

9127080 satwnd.YYYYMMDD18

210060 sbvn16.YYYYMMDD00

252072 sbvn16.YYYYMMDD06

294084 sbvn16.YYYYMMDD12

252072 sbvn16.YYYYMMDD18

13632240 sfcanl.YYYYMMDD00

35040 sfcbog.YYYYMMDD00

0 sfcbog.YYYYMMDD06

35872 sfcbog.YYYYMMDD12

0 sfcbog.YYYYMMDD18

1417632 sfcshp.YYYYMMDD00

1341008 sfcshp.YYYYMMDD06

1494528 sfcshp.YYYYMMDD12

1541848 sfcshp.YYYYMMDD18

29885672 siganl.YYYYMMDD00

714948 snogrb.YYYYMMDD00

714948 snogrb.YYYYMMDD06

714948 snogrb.YYYYMMDD12

714948 snogrb.YYYYMMDD18

2459168 spssmi.YYYYMMDD00

2431384 spssmi.YYYYMMDD06

2518328 spssmi.YYYYMMDD12

2514872 spssmi.YYYYMMDD18

326408 sptrmm.YYYYMMDD00

331688 sptrmm.YYYYMMDD06

332656 sptrmm.YYYYMMDD12

324368 sptrmm.YYYYMMDD18

154068 sstgrb.YYYYMMDD00

154068 sstgrb.YYYYMMDD06

154068 sstgrb.YYYYMMDD12

154068 sstgrb.YYYYMMDD18

12933 stat01.YYYYMMDD00

13104 stat01.YYYYMMDD06

12933 stat01.YYYYMMDD12

13105 stat01.YYYYMMDD18

3142 stat02.YYYYMMDD00

3142 stat02.YYYYMMDD06

3142 stat02.YYYYMMDD12

3142 stat02.YYYYMMDD18

7449 statup.YYYYMMDD00

7854 statup.YYYYMMDD06

7449 statup.YYYYMMDD12

6963 statup.YYYYMMDD18

0 tcvitl.YYYYMMDD00

0 tcvitl.YYYYMMDD06

0 tcvitl.YYYYMMDD12

0 tcvitl.YYYYMMDD18

345360 vadwnd.YYYYMMDD00

342248 vadwnd.YYYYMMDD06

325312 vadwnd.YYYYMMDD12

346232 vadwnd.YYYYMMDD18