Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global wa ....Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global water and vegetation forecasting model. The resulting improvement in seasonal forecasts of stream flow, soil moisture and crop production will be quantified and compared to the limited forecasts that are currently available.Read moreRead less
Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into exist ....Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.Read moreRead less