Hydroclimate Models

Our research focuses on developing and improving hydrological models that can better account for climatic variability. The inclusion of climatic influence is necessary for achieving a complete description of hydrological processes and trying to predict its likely evolution in the future. In parallel, we are interested in understanding the physical mechanisms associated with large and persistent droughts, working towards implementing an early warning system for droughts. We are working with the CFU toward seasonal drought forecasts in this area.

The approaches we follow range from stochastic time series analysis to process-based hydrological models. Comparing different methodologies will promote the strength of the analysis and assessing uncertainties.

Attention will be given to assessing the impacts of climatic variability on important water-related processes, such as flood control, irrigation, urban water supply and drainage, crops and hydropower generation.

Other areas of focus include:
  • Analyzing existing strategies of remote sensing from space for monitoring relevant climate variables.
  • Developing processing and post-processing techniques for the interpretation and assimilation of remote sensing data from space.
  • Combining remote sensing data produced by different sources at different scales.
  • Soil moisture monitoring from space.

Research Themes