Abstract. One of the major obstacles for designing solutions against imminent climate crisis is scarcity high spatio-temporal resolution model projections variables such as precipitation. This kind information crucial impact studies in fields like hydrology, agronomy, ecology, and risk management. The currently highest spatial datasets on a daily scale projected conditions fail to represent com...

Climate projections simulated by Global Climate Models (GCMs) are often used for assessing the impacts of climate change. However, the relatively coarse resolutions of GCM outputs often preclude their application to accurately assessing the effects of climate change on finer regional-scale phenomena. Downscaling of climate variables from coarser to finer regional scales using statistical method...

Characterizing the spatial scaling and dynamics of convective precipitation in mountainous terrain and the development of downscaling methods to transfer precipitation fields from one scale to another is the overall motivation for this research. Substantial progress has been made on characterizing the space-time organization of midwestern convective systems and tropical rainfall, which has led ...

The increasing availability of precipitation observations from space, e.g., from the Tropical Rainfall Measuring Mission (TRMM) and the forthcoming Global Precipitation Measuring (GPM) Mission, has fueled renewed interest in developing frameworks for downscaling and multi-sensor data fusion that can handle large data sets in computationally efficient ways while optimally reproducing desired pro...