NCEO - National Centre for Earth Observation

Hazardous Weather and Flooding - Synergistic use of remote sensing data for high resolution predictions of hazardous weather, floods and water resources

TerraSAR-X image of flooding in Tewkesbury
TerraSAR-X image of flooding in Tewkesbury, UK, in July 2007 (flooded areas are dark) (© DLR 2007). TerraSAR-X is one of a new generation of all-weather day-night synthetic aperture radar sensors with sufficiently high resolution to “see” flooding in urban areas. The observed flood extent can be used to validate computer models of urban flood inundation.

Goal: Our goal is to improve our understanding of the physical and dynamic processes governing storms and floods and to develop capability to forecast these phenomena.
Partners and Customers: National Centre for Atmospheric Science (NCAS), FREE (Flood Risk from Extreme Events), Flood Risk Management Research Consortium, the Met Office, European Centre for Medium Range Weather Forecasting (ECMWF), Centre for Ecology and Hydrology (CEH), Proudman Oceanographic Laboratory (POL), the Environment Agency

Storms, floods and droughts have a major impact on everyday life around the world. An improved ability to forecast, quantify and manage meteorological and hydrological risks, as well as water resources, is essential to protect the public, property and infrastructure, and to maintain a sustainable economy. We will improve methods of assimilating data from meteorological satellites and ground based radar into high resolution atmospheric models, to increase skills in forecasting hazardous weather. We are using EO measurements of soil moisture, snow and flooding to develop hydrological models for flood forecasting, working with operational agencies towards and end-to-end integrated forecasting capability.

Our key priorities include:

  • Developing assimilation techniques to ingest data from high-resolution satellite and ground based measurements into high-resolution atmospheric models
  • Utilising snow and flood extent measurements from a new generation of satellites to improve models of flooding and water resources.
  • To prepare the science base in order to exploit forthcoming missions such as GPM (Global Precipitation Measurement) and Earthcare

This area of research contributes to the Climate Theme and incorporates results from the Theme on Data Assimilation.

Measuring data used to drive physically based snow-SVAT models

 

Click here to view the science theme proposal document