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A PROPOSED SCENARIO

A PROPOSED SCENARIO. FLOOD PREDICTION. Flood forecast. Precipitation short-term forecast (intensity and distribution). Simulation of Surface run-off model. Land cover data. DEM. In-situ observation data. validation. Semi real-time downscaling. Numerical weather model results (global).

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A PROPOSED SCENARIO

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  1. A PROPOSED SCENARIO FLOOD PREDICTION

  2. Flood forecast Precipitation short-term forecast (intensity and distribution) Simulation of Surface run-off model Land cover data DEM In-situ observation data validation Semi real-time downscaling Numerical weather model results (global) Satellite data (AMSR etc) Data assimilation system validation Numerical weather Model (regional) In-situ observation data

  3. With minimum ground observation data Flood forecast Precipitation short-term forecast (intensity and distribution) Simulation of Surface run-off model Land cover data Applicable in developing countries DEM In-situ observation data validation Semi real-time downscaling Numerical weather model results (global) Satellite data (AMSR etc) Data assimilation system validation Numerical weather Model (regional) In-situ observation data

  4. Flood forecast Precipitation short-term forecast (intensity and distribution) Simulation of Surface run-off model Land cover data DEM In-situ observation data validation Semi real-time downscaling 29 TEST River Basins Proposed by 18 Countries in Asia Numerical weather model results (global) Satellite data (AMSR etc) Data assimilation system validation Numerical weather Model (regional) In-situ observation data

  5. Flood forecast Precipitation short-term forecast (intensity and distribution) Simulation of Surface run-off model Land cover data DEM In-situ observation data validation Semi real-time downscaling 29 TEST River Basins Proposed by 18 Countries in Asia Soon be semi-operational for the 2nd largest river in Japan. Numerical weather model results (global) Satellite data (AMSR etc) Data assimilation system validation Numerical weather Model (regional) In-situ observation data

  6. Flood forecast GIS-based decision support system Data Archiver + Data Assimilation System (UT/JAXA, MPI and NCAR) Precipitation short-term forecast (intensity and distribution) Simulation of Surface run-off model Land cover data DEM In-situ observation data validation Semi real-time downscaling Numerical weather model results (global) Satellite data (AMSR etc) Data search based on ISO 191 metadata (WTF-CEOP) Data search based on ISO 191 metadata (WTF-CEOP) Data assimilation system validation Numerical weather Model (regional) In-situ observation data

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