Development of high resolution global-flood forecasting system with long lead time

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K14386
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 25030:Disaster prevention engineering-related
• Research Institution: The University of Tokyo
• Principal Investigator: MA Wenchao 東京大学, 生産技術研究所, 特任研究員 (60743101)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: flood forecasting

Outline of Final Research Achievements

This study considers the increasingly severe flood disasters worldwide and aims to construct a real-time global flood forecasting dataset using ensemble forecasting meteorological forcing data. The project benefits from land surface modeling systems advancements and the hydrodynamic model Cama-Flood. The grid-based hydrodynamic model can consider global watershed systems and provide effective output results for high-risk flood areas worldwide. Additionally, as a world-leading provider of meteorological forecast data, ECMWF's multi-dataset meteorological forecasts provide crucial data support for this research.

Free Research Field

Hydrology

Academic Significance and Societal Importance of the Research Achievements

Flood is the most severe, widespread, and destructive natural disaster threatening human survival. This study combines existing leading meteorological forecast data with hydrodynamic models, providing a valuable research approach for developing flood forecasting methods and technologies.