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

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Presentation on theme: "1 G EOSS A nd M AHASRI E xperiment in T ropics (GaME-T) Taikan Oki and Shinjiro."— Presentation transcript:

1 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 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 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 2 Building Up GaME-T  Objective: Develop hydro-meteorological warning system associated with telemetry stations, and demonstrate the value of the warning system in Mae Waang, Chiang Mai, Thailand.  Ongoing Studies: Installation of 15 new AWS stations with telemetry and continuation of a few flux measurement stations. Case study of an extreme event caused by a tropical cyclone. Hydrological modeling coupled with atmospheric weather forecast.

3 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 3 Hydrometeorological monitoring and modeling Radar-Raingauge Observation Space-Time Variation of Precipitation LSM2: MATSIROLSM1: SiBUC Prediction of Precipitation Quasi-Real Time Prediction of River Runoff and Soil Moisture by an Earth Observation System Satellite & In-situ obs. of Soil Moist. Flux Measurement at Super Sites AssimilationValidation Forcing Data Multi-Model Ensemble Research Item Data & Information 1/2

4 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 4 River Discharge & Water Table from Runoff Archiving tremendous and various observational and simulated datasets Land Slide Risk Assessment based on Soil Moisture User Interface for the Integrated Information System on Water Cycles Integrated Information Base on Water Cycles Quasi-Real Time Delivery of Information by an Earth Observation System Dedicated for Integrated Water Resources Management Potential of Flood Potential of Land Slide Integrated Information Base on Water Cycles Quasi-Real Time Prediction of River Runoff and Soil Moisture Research Item Data & Information 2/2

5 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 5 NO 1 NO 2 NO 3 NO 41 NO 61 NO 7 NO 87 NO 9 NO1 2 NO1 1 NO1 32 NO1 42 NO1 52 NO1 6 NO 51 Site description Mae Wang basin in Chiang Mai (basin area : 600 km 2 )

6 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 6 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

7 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 7 Air Temperature : Soil Temperature -5cm Rain Fall 1.0m 2.0m Data logger box Instrumentation : Tel-rain site NO.8 NO.13

8 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 8 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

9 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

10 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 10 Lag analysis on water table NO2→NO6 ： 240 min (r = 0.54) NO11→NO6 ： 250 min (r = 0.40) NO11→NO2 ： 10 min (r = 0.79) No lag correlation NO7→NO6, NO2 NO12→NO2 ： 60 min (r = 0.51) NO12→NO6 ： 310 min (r = 0.35)

11 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 11 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

12 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 12 Plan for the AMY-2008  NO research funding for field observation project in Thailand/Indo-China Peninsula from Japanese side, so far.  Would like to continue: Flux measurement/AWS sites in Thailand Study on hydrometeorological warning systems Data collection and integration in the Peninsula  An idea for AMY-2008: Combining TMD weather radar network with surface telemetry raingauge…revenge of IOP1998

13 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 13 THANK YOU! Friends, the hydrologists, can we fix it? Yes we can! (at least in the future)

14 http://hydro.iis.u-tokyo.ac.jp/GAME-T/ http://game-t.nrct.go.th/GAME-T/ 14

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