The increasing availability of precipitation observations from space, e.g., from the Tropical Rain7 fall Measuring Mission (TRMM) and the forthcoming Global Precipitation Measuring (GPM) mission, has 8 fueled renewed interest in developing frameworks for downscaling and multi-sensor data fusion that can 9 handle large data sets in computationally efficient ways while optimally reproducing desir...

We employed a novel method that combined probabilistic analysis and spatial modeling assisted by GIS to analyze the risk of extreme precipitation in Northeast Spain related to three atmospheric circulation configurations: the North Atlantic Oscillation (NAO), Mediterranean Oscillation, and Western Mediterranean Oscillation (WeMO). The analysis was performed at an event-based scale using data ob...

Humans are altering global environment at an unprecedented rate through changes in biodiversity, climate, nitrogen cycle, and land use. To address their effects on ecosystem functioning, experiments most frequently explore one driver at a time and control as many confounding factors as possible. Yet, which driver exerts the largest influence on ecosystem functioning and whether their relative i...

The main focus of this study was to establish the feasibility working with intensity data individual events very heavy precipitation (50 mm or more in 12 hours less) observed over territory Ukraine using remote sensing (satellite GPM IMERG), as well verification satellite ground station (self-recording rain gauge data). consisted processing and maps – IMERG products, building tables graphs base...