Remote Sensing

Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
This study represents the most comprehensive global-scale precipitation dataset evaluation to date. We evaluated 13 uncorrected precipitation datasets using precipitation observations from 76 086 gauges, and 9 gauge-corrected ones using hydrological modeling for 9053 catchments. Our results highlight large differences in estimation accuracy, and hence, the importance of precipitation dataset selection in both research and operational applications.
Hylke E. Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I. J. M. van Dijk, Graham P. Weedon, Luca Brocca, Florian Pappenberger, George J. Huffman, Eric F. Wood
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Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
The impact of deforestation on the hydrological cycle in Amazonia as observed from remote sensing
Given widespread Amazonian deforestation, numerous studies have focused on how the regional hydrological cycle - in terms of …
Noemi Vergopolan, Joshua B. Fisher
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The impact of deforestation on the hydrological cycle in Amazonia as observed from remote sensing