CEOPCoordinated Energy and water cycle

Observation Project

May 14, 2007

Ryousuke Shibasaki – UTBen Burford - RESTEC

Coordinated Energy and water cycle Observation Period

Convergence of Observations A Prototype of the Global Water Cycle

Observation System of Systems

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)

http://en.wikipedia.org/wiki/Image:VietnameseProvincesMap_edited2.png

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 dataNDVILand cover data

In-situ observation data of river flow,River profile data

Hydrology Model Outputstreamflow at Kim Long

0

1000

2000

3000

4000

5000

6000

7000

8000

11/24 11/25 11/26 11/27 11/28 11/29 11/30

2004

m3/s

RAINGAUGE

OBS FLOW

HRM 24-h forecast, hourly

GPV 24-h forecast, 6-hourly

Rain = 0

HRM 24-h forecast, 6-hourly

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. 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.