WTF-CEOP JAXA Prototype Demo (Coordinated Energy and water cycle Observation Project) May 23, 2007 Satoko Horiyama MIURA – JAXA Ben Burford - RESTEC
Mar 27, 2015
WTF-CEOPJAXA Prototype Demo
(Coordinated Energy and water cycle Observation Project)
May 23, 2007
Satoko Horiyama MIURA – JAXABen Burford - RESTEC
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)
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.
Satellite Sensors
TRMM PR TMI CERES
Aqua AMSR MODIS CERES AIRS AMSU MHS
Terra MISR MODIS CERES ASTER
ADEOS-II AMSR GLI
ALOS PRISM AVNIR-2 PALSAR
ENVISAT ASAR AATSR
NOAA AVHRR
DMSP SSM/I
GMS S-VISSR
Archived at Univ. Tokyo (Japan)
CEOP Model Output Data(10 Major National and Multi-National Centers)
NWP – Numerical Weather Prediction data• MOLTS – Model Output Location Time Series (time ser
ies 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, N
CEP, NCMRWF, UKMO
Archived at the Max Planck Institute (Germany)
Live Access Server(LAS)
Ferret
Web BrowserWTF-CEOP
JAXA Prototype System
CSDIC Archive
Satellite
(Japan)
DODS
UCAR Archive
In-situ
(U.S.)
DODS
MPI Archive MOLTS,
Model Output (Germany)
DODS
WTF-CEOP JAXA Prototype System(Coordinated Energy and water cycle Observation Project)
Societal Benefit Areas“Asian Water Cycle Initiative”
(Flood forecast)
18 Countries, 29 River Basins(Vietnam – Huong River)
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 GlobalSatellite Precipitation data (TRMM 3 hr. ¼ deg.)CEOP NWP Model Output(NCEP UKMO)NDVILand cover data
VietnamIn-situ observation data of river flow and precipitation (Flood Nov. 2004)River profile data
Hydrology Model Output
Daily simulation at Kim Long
0
1000
2000
3000
4000
5000
6000
7000
24 292004 Nov
Sim gauge
Obs f(WL)
Sim JMA/GPV
HRM 6-h
UKMO
Live Access Server(LAS)
Ferret
Web BrowserJAXA Prototype System
CSDIC Archive
Satellite
(Japan)
DODS
UCAR Archive
In-situ
(U.S.)
DODS
MPI Archive MOLTS,
Model Output (Germany)
DODS
Integrate WMS
WMSWeb
MappingClient
Filter
Possible scenarios1. National Hydrometeorological Service of Viet
nam:– a scenario and data that would be useful to the
m (“user requirements”).– Possible improvement of precipitation forecast
2. Flood forecast scenario – information and GIS useful to decision makers (e.g. to develop flood hazard maps, to determine inundation levels, etc.).
3. Evacuation scenario – evacuation, medical care, food, recovery, etc.
At this point – very preliminary!
Live Demo
WMS to be integrated into WTF-CEOP