THE MEETING ON
CEOP
SATELLITE DATA INTERGRATION ISSUES

at IIS, Univ. of Tokyo, on October 9, 2002
at EORC, NASDA, on October 10, 2002
Tokyo, Japan

Coordinated Enhanced Observing Period (CEOP)
CEOP is the first step towardmeeting the challenge to provide
coordinated observations of theglobal water cycle.
CEOP will offer the first globally
integrated data sets
CEOP will strongly promote studyof the water cycle adding to
improved accuracy of weather
predictions in the near future.
Long-term Guiding Goal andOverall Objectives
ScheduleOrganization
CEOP HP : http://www.ceop.net

CEOP SCIENTIFIC OBJECTIVESLONG-TERM GUIDING GOAL
To understand and model the influence of continentalhydroclimate processes on the predictability of global
atmospheric circulation and changes in water resources, witha particular focus on the heat source and sink regions thatdrive and modify the climate system and anomalies.

OVERALL OBJECTIVE 1

OVERALL OBJECTIVE 2

To better document and simulate
water and energy fluxes andreservoirs over land on diurnal toannual temporal scales and to better
predict these on temporal scales up
to seasonal for water resources
application.

Document the seasonal march of
the monsoon systems, assess
their driving mechanisms, andinvestigate their possible physicalconnections.

WESPMonsoon
System StudyCIMVP:
Model validation/improvement of fundamental

Diurnal cycle, Annual cycle, ISO
in relationship to monsoon onsets and breaks;

Clouds:

LLJs:
Land Effects:

Super cloud cluster complex
MCCs
Shallow clouds
Stratocumulus

Soil moisture
Vegetation cover
Snow and Ice CoverScale Interactions:

CIMVP model physics validation• Global validation: satellite data, gridded CEOP re-analyses• Local validation: reference sites categorize based on MOLTS,
and field observations (dynamically adjusted)
Site classification based on data completenessI. Supersites (full 3D coverage) : ARM-SGP, Tibet, Thailand (Chao-Phraya) basin
II. Potential supersites (additional effort required, 2.5 D coverage) : Radonia/Panatal,Mt. Bigelow (AZ), Darwin, Manus
III Important but..(reference sites which require more observations/instrumentation,and better data tranmission to be useful) AMMA, Equatorial Island (Sumatra), Palau*Site classification should be cross-referenced with similar classification from othergroupsValidation Parameters
The 3-D water and energy budget requirements fromWESP, add thefollowing:• Cloud fraction , cloud types, optical depths (clouds and aerosols)• Subgrid scale turbulent flux of heat, moisture and momentum• LAI (leaf area index), FPAR (fraction of absorbed photosyntheticallyactive radiation), vegetation types and coverage• Ground heat flux
• Soil and snow properties: hydraulic and thermal conductivity,
porousity, heat capacity• Snow coverage*Ground water hydrology parameters, to coordinate with the water
resource groupExperimental design: (GCM, RCM, CRM ,LSM, column physics models..)• Stream-1: land/vegetation processes• Stream-2: physics of clouds, convection (deep, shallow)- Integration for 2 year, 1 October 2002 –December 31, 2004 with
CEOP data as validation- Allow one-year of spin up for ground hydrology adjustment
run embedded RCM , CRM with different domain size overmonsoon regions of interests- Focus detailed physics validation on Category 1 and 2 sites- Uncover and diagnose model physics errors, and carry out
additional experiments ,as needed, to improve model physics*PCMDI/AMIP may adopt CEOP data period as “IOP” for AMIP-III,and provide some data archive capacity

REFERENCE SITESCEOP Reference Site Status: http://www.joss.ucar.edu/ghp/ceopdm/rsite.html

CEOP EOP-1 METEOROLOGICAL PARAMETERSMODEL OUTPUTSHigh Temporal Resolution Time-series
Output Referred to as Model Output Location
Time Series (MOLTS) at the Reference Sites

Gridded Output from Operational Global andRegional Prediction Models and their 4-D DataAssimilation Systems

Output from Global and Regional Reanalysis

UKMO, NCEP, JMA, ECMWF,DAO,BOM,ICMWF,,

NCEP CONTRIBUTIONS TO CEOP
(Many of these initiatives substantially supported by GAPP or OGP)

1 – Global and Regional 4DDA / forecast output: (coupled atmosphere / land)-- site-specific time series output (MOLTS) at CEOP reference sites-- gridded fields output (MORDS)-- MOLTS and MORDS from:--- A) from NCEP Global Assimilation and Forecast System--- B) from NCEP Eta model Regional Assimilation and Forecast System
2 - Global and Regional Reanalysis (coupled atmosphere / land)-- MOLTS and MORDS from:--- A) Regional Reanalysis (1979-2004), via Eta-model 4DDA (EDAS)---- 32-km, 3-hrly, assimilates hrly precip, improves soil moisture-- MORDS only from:--- B) NCEP/NCAR Global Reanalysis-I and CDAS-I (1948-present)--- C) NCEP/DOE Global Reanalysis-II and CDAS-II (1979-present)--- much improved soil moisture via assimilation of global precip
3 - Land Data Assimilation System (N-LDAS): Analysis/Reanal (land only)-- national realtime (Oct 96 to present), hourly, 1/8-th deg-- national reanalysis (1948-1999), hourly, 1/8-th deg-- soil moisture and temperature, snowpack, sfc energy and water fluxes-- MORDS and MOLTS

NCEP CONTRIBUTIONS TO CEOP (Con’t)
4- Precipitation Analysis/Reanalysis: national and global-- A) Global, 5-day, 2.5-deg, gage/satellite (1979-present)-- B) U.S. daily, 0.25-deg, gage-only (1948-present)-- C) U.S. hourly, 4-km, radar/gage (1996-present)
5 – NESDIS satellite land-surface products-- A) daily, 23-km, N. Hemisphere snow cover (Jan 97 to present)-- B) hourly, 0.5-degree, U.S. sfc insolation and skin temperature-- C) weekly, global, 0.14-deg NDVI and vegetation greenness
6 - Global SST Analysis/Reanalysis-- weekly, 1-degree (1982 to present), SST
7 - NAME: N. American Monsoon Experiment- - special observations, Mexico and southwest U.S., 2003-2004
8 – Demonstrations of Regional Model Transferability-- executions of NCEP Eta model over S. America (H. Berbery)

CEOP Scientific Strategy
New Data sets of the Entire Water Cycle by Integrating the New
Generation Satellite Products in Addition to the Operational Ones.
Reference Sitelevel 1b/2/3

Basinlevel 1b/2/3

Monsoon Region
level 2/3

MOLTS Global
level 2/3 level 3

Diurnal Cycle: TRMM, ADEOSII,Terra+Aqua
Radiation:CERES, MODIS, GLI
Cloud Properties:MODIS,GLI
Precipitation Profile:PR
Atmos. Column Values(WV, CWC, Rain):
Atmos. Column Values(Precip.):
AMSR/AMSREAMSR/AMSRE

H
Atmos. Profile::
AIRS,AMSU,MHS

Atmos. Profile:
AIRS

SSW:QuickSCAT, SeaWinds,
ASAR, PALSAR, AMSR/AMSRE

Land Surf. Hydrol.
Soil Moist. Snow,Surf. Temp, VWC.
AMSR/AMSREHSST:MODIS,GLI,AMSR,AMSRE

Equator
Ocean

Land Cover: ETM, ASTER, MODIS, GLI
Land Surf. Heterogeneity: ETM,ASTER+MODIS,GLI
ASAR,PALSAR+AMSR,AMSRE

Land

Himalayas Tibetan Plateau

Land Data Assimilation: Multi-Scale Philosophy
Objective: To develop, evaluate, and validate multi-scale land assimilation in a wide variety of applications.
Global: Off-line Land-surface Global Assimilation (OLGA) system Æ GLDAS:
Scale: 1/8 to 2 degree global land.
Focus: Land-atmosphere boundary, operational assimilation of remotely-sensed surface observations.
Projects: NSIPP, DAO, GLDAS, etc.

Continental: Land Data Assimilation System (LDAS)
Scale: 1/8 degree, continental, real-time.
Focus: Real-time applications (agriculture, floods),
short forecasts, model intercomparisons, TRMM.
Projects: GCIP, LBA, etc.
http://ldas.gsfc.nasa.gov

Regional: Monsoon90, Washita 92, SGP97,99,01
Scale: 30 to 1000 m, <10,000 km2, watershed focus.
Focus: hydrological controls, assimilation theory,scaling, in-situ observations.
Projects: GSFC-MIT SGP97 Project.

Houser, 2001

Application of the TMI/SiB2 LDAS
Game-Tibet-Results
302.00a.

298.0032.50

Estimated Surface
Temperature (K)

b.

25.00

32.50

23.00

300.00296.00294.00292.0032.0021.00

32.00

290.00Estimated
Soil Moisture288.0019.00

286.00

31.50

31.50

284.0017.00

282.0031.00

280.0031.00

278.0015.00

276.00
91.50

92.00

c.

91.50

254.0092.00

d.
254.00251.00Estimated
10.65GHz-H

32.50

251.0032.50

248.00248.00245.0032.00

245.0032.00

242.00242.00239.00239.0031.50

236.00236.0031.50

233.00233.00230.0031.00

230.0031.00

227.00227.00224.00224.00
91.50

92.00

91.50

92.00

Observed
10.65GHz-H

The First Global Integrated Data Sets of Water Cycle

Down Scaling

Mithcell, 2000

CEOP Schedule

TRMM from 1997

ENVISATNOWTerra from 2000

Aqua

ADEOS-IICEOP ORGANIZATION STRUCTURE
Science Steering Committee•guide the science•maximize the scientific and technical benefits•oversee the implementation
WCRP
H.Grassl (Chair)
GEWEX:
S.Sorooshian
CLIVAR:
C.R. Mechoso
CLiC:
B. Goodison
WGNE:
K. Puri
GHP Chair:
R. Stewart
CEOS:(ESA rep)
CEOP Lead Scientist:T.Koike

Advisory Committee•receivers of scientific ideas for funding and support
Scientific idea •providers of reality checks on funding, infrastructure•membership criteria (provides data or funds efforts)
Advise &opportunity

Co-chair: J.Kaye(NASA)& A.Sumi(NASDA)
Space Agencies(ESA, CNES, EUMESAT)NWPs(ECMWF,NCEP,JMA,CPTEC,CMA, DAO)
Other funding agencies GEWEX rep: R. Lawford

Coordination Body
keep communication flowing: newsletter, web, teleconference, meeting, etc.
International Coordinator: S.Benedict
Implementation Coordination Group: CSE Representatives and S.Williams
News Letter Editorial Board: P.Try, C.R.Mechoso, R.Schiffer
International Coordination Office(Japan):
J.Matsumoto/T.Oki/D.Yang/K.Tamagawa/A.Goda (UT) , N.Mannoji(JMA),
C.Ishida /N.Matsuura(NASDA), A.Hirashima/K.Misawa(RESTEC)

Implementation report

Scientific guidanceWorking Groups
responsible for carrying out the individual components and reporting to Scientific Steering Committee

Water and Energy Simulation & Prediction

Monsoon Systems

Co-chair: J. Roads & J. Marengo

Co-chair: W.Lau & T.Yasunari

Satellite Data Integration

Data Management

Co-Chair:T.Koike & P.Houser

Co-chair: S.Williams & H.Isemer

Water Resource Application(TBD)
Chair: D.Lettenmair(TBC)