1 G EOSS A nd M AHASRI E xperiment in T ropics (GaME-T) Taikan Oki and Shinjiro.

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1 G EOSS A nd M AHASRI E xperiment in T ropics (GaME-T) Taikan Oki and Shinjiro Kanae Institute of Industrial Science The University of Tokyo

2 Building Up GaME-T  Target Area and Coverage Demonstration project of “hydro-meteorological forecasting” in Mae Waang, Chiang Mai, Thailand Flux measurements at a few landscapes Meteorological monitoring (+ data collection) and modeling all over the Indo-China Peninsula  Possible collaborations with Vietnam, Malaysia, Laos, Cambodia, Myanmar,... + Thailand  Call for specialists Winter monsoon, Aerosol (Phimai site is there), Seasonal Forecast, IWRM, risk communication, …

3 Site description Mae Wang basin in Chiang Mai (basin area : 600 km 2 )

4 Air Temperature & Humidity Wind Speed & Direction : Soil Temperature : Soil Moisture 2.7m Short & long-wave radiation -5cm -10cm -20cm -40cm Rain Fall 1.0m 2.0m Ground Water Level Air pressure in Data logger box River Water Level Instrumentation : Tel-super site NO.1 Making well at NO.4

5 Air Temperature : Soil Temperature -5cm Rain Fall 1.0m 2.0m Data logger box Instrumentation : Tel-rain site NO.8 NO.13

6 Instrumentation : Tel-rain site (with river level observation) NO.12 NO.11 Air Temperature Rain Fall 1.0m 2.0m Data logger box River Water Level Water Temperature

Data transfer every 1 hour from all observation sites Instrumentation : Data acquisition and Telemetry system Data logger GSM modem  Data is logging every 5 seconds and recorded by averaging every 10 minutes.  Tel-super system can storage data for 6 month, Tel- rain system can storage data for 1.5 month.  GSM is easily able to connect line directly by dial- up connection, although GSM (9.6 kbps) is low-speed access than GPRS (115 kbps). GEOSS Data Server at RID Center 1 GEOSS Data Archive System at the Univerisuty of Tokyo

8 Historical Record Hindcast Telemetering, Remote Sensing Nowcast Coupled Land surface Model & Hydrological Model Surface Parameters precipitation, temperature, radiation, wind, humidity, … Soil properties, vegetation index, human factors, … Disaster Potential, Information for Decision making, … Physical Parameters to Information for People Web Interface/Effective Warning etc. PUBLIC Forecast Atmospheric Numerical Model River discharge, soil moisture, ground water recharge, …. Multi- Model Real time “PUB” - the Future! Multi- Forcing

9 THANK YOU! Friends, the hydrologists, can we fix it? Yes we can! (at least in the future)

10

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