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The project eartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It will integrate available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of availab ...

"Our understanding and ability to predict and respond to changes in the hydrologic environment cannot be properly addressed in the absence of reliable precipitation information. Proposed research aims at investigating ways to improve the quantitative precipitation estimation (QPE) associated with hydrological forecasting. Our research is facilitated by multi-instrument observations available from ...