Satellite EO for Flood and Drought Forecasting in China

Start date
March 1, 2019
End date
February 28, 2022
Project code
18-M01-DTU
Countries
Total grant
4,999,973
Contact person
Peter Bauer-Gottwein
Description

This project aims to exploit innovative satellite earth observation data products for operational flood and drought forecasting in China. The EU Copernicus programme and related satellite missions (NASA GRACE, GRACE-FO) provide spatially and temporally resolved observations of key inland water variables, including water surface elevation (WSE), surface water extent (SWE), total water storage change (TWS), actual evapotranspiration (AET) and soil moisture (SM).

The EOForChina project will develop efficient open-source algorithms to process these data and will map inland water variables at regional scale for selected regions of China. This will provide detailed information on how water resources systems respond to the combined stresses of climate change and human exploitation. The project will develop algorithms and workflows to directly use satellite EO data to inform hydrologic and hydrodynamic simulation models and decision support systems.

The techniques will be demonstrated and evaluated for selected use cases where project partners have access to existing decision support systems that are used in operational water resources management and flood forecasting. The project will demonstrate how satellite EO data can be used to improve the predictive skill of such systems by increasing sharpness and reliability of the delivered forecasts.

The workplan combines scientific research and development work that can potentially lead to new and enhanced products and services. The project consortium brings together leading academic and industry partners from Denmark and China, who have significant experience and background knowledge in the subject area. The consortium is thus strategically positioned to exploit both the scientific and commercial opportunities arising from the combination of satellite EO data and hydrologic simulators in the context of water resources and flood management in China.