1 / 6

Advanced Flood Prediction System for Developing Countries

This proposed scenario provides a comprehensive flood prediction system utilizing precipitation forecasts, surface run-off simulations, and data assimilation for accurate flood forecasting in developing countries. The system integrates global numerical weather model results, satellite data, and in-situ observations to validate the regional weather model and enhance flood forecasts. Tested in 29 river basins across Asia, the system is on track to become semi-operational for Japan's second-largest river. It includes a GIS-based decision support system and a data archiving and assimilation system for real-time monitoring and analysis. Data search is facilitated by ISO 191 metadata standards.

gaerwn
Télécharger la présentation

Advanced Flood Prediction System for Developing Countries

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related