1. CEOP Coordinated Energy and water cycle Observation Project May 14, 2007 Ryousuke Shibasaki – UT Ben Burford - RESTEC

2. Coordinated Energy and water cycle Observation Period Convergence of Observations A Prototype of the Global Water Cycle Observation System of Systems

3. CEOP In-situ Data (In-situ Data from 35 Reference Sites) Four types of CEOP in- situ data Surface (19 variables) Tower (9 variables) Soil (temperature, moisture) Flux (Sensible Heat, Latent Heat, CO2, Soil Heat Flux) Archived at NOAA NCAR (USA)

4. CEOP Satellite Data (Satellite data from JAXA, NASA, ESA and Eumetsat) 250 km x 250 km subset scenes, regridded to Lat/Lon grid, centered over the 35 in-situ data sites. SatelliteSensors TRMMPRTMICERES AquaAMSRMODISCERESAIRS AMSUMHS TerraMISRMODISCERESASTER ADEOS-IIAMSRGLI ALOSPRISMAVNIR-2PALSAR ENVISATASARAATSR NOAAAVHRR DMSPSSM/I GMSS-VISSR Archived at Univ. Tokyo (Japan)

5. CEOP Model Output Data (10 Major National and Multi-National Centers) NWP – Numerical Weather Prediction data MOLTS – Model Output Location Time Series (time series at model grid point nearest center of in-situ data sites). Gridded Model Output – 2D/3D time series. Major National and Multi-National Centers BoM, CPTEC, ECMWF, ECPC, JMA, DAO, GLDAS, NCEP, NCMRWF, UKMO Archived at the Max Planck Institute (Germany)

6. Live Access Server (LAS) Ferret Web Browser WTF-CEOP JAXA Prototype System CSDIC Archive Satellite (Japan) DODSDODS UCAR Archive In-situ (U.S.) DODSDODS MPI Archive MOLTS, Model Output (Germany) DODSDODS WTF-CEOP JAXA Prototype System (Coordinated Energy and water cycle Observation Project)

21. Societal Benefit Areas “Asian Water Cycle Initiative” (Flood forecast)

22. 18 Countries, 29 River Basins (Vietnam – Huong River)

27. Data assimilation system +Numerical weather Model (regional) +land surface process model +radiative transfer model Flood forecasting system (Distributed surface run-off model) Dam operation system Reduction of flood risk Warning for evacuation Flood warning system Optimized dam operation Flood forecast Satellite Precipitation data NDVI Land cover data In-situ observation data of river flow, River profile data

28. Hydrology Model Output

29. Live Access Server (LAS) Ferret Web Browser JAXA Prototype System CSDIC Archive Satellite (Japan) DODSDODS UCAR Archive In-situ (U.S.) DODSDODS MPI Archive MOLTS, Model Output (Germany) DODSDODS Integrate WMS WMS Web Mapping Client Filter

51. Possible scenarios 1. Meteorological scenario – describe meteorological conditions that caused heavy rainfall, put related data and images on JAXA Prototype System. 2. CEOP science scenario – information and data that is useful to CEOP scientists. 3. National Hydrometeorological Service of Vietnam – a scenario and data that would be useful to them. 4. Flood forecast scenario – information and GIS useful to decision makers (e.g. for issuing flood warnings, to determine inundation levels, etc.). 5. Evacuation scenario – evacuation, medical care, food, recovery, etc.