Bias correction of global high-resolution precipitation climatologies using streamflow observations from 9372 catchments

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ADS bibcode: 2019AGUFM.H51V1824B
year: 2019
Listed Authors: Beck, H.; McVicar, T.; Zambrano-Bigiarini, M.; Alvarez-Garreton, C. D.; Baez-Villanueva, O.; Sheffield, J.; Karger, D.; Wood, E. F.
Listed Institutions: Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; CSIRO, Black Mountain, Australia; Universidad de la Frontera, Temuco, Chile; Center for Climate and Resilience Research, CR2, Santiago, Chile; Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Cologne Technical University, Köln, Germany; University of Southampton, Southampton, United Kingdom; WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland; Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States

Bias correction of global high-resolution precipitation climatologies using streamflow observations from 9372 catchments

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