Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-4347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
An assessment of the performance of global rainfall estimates without ground-based observations
Christian Massari
CORRESPONDING AUTHOR
Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy
Wade Crow
United States Department of Agriculture – Hydrology and Remote Sensing Laboratory, Beltsville, Maryland, USA
Luca Brocca
Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy
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Latest update: 23 Mar 2023
Short summary
The paper explores a method for the assessment of the performance of global rainfall estimates without relying on ground-based observations. Thanks to this method, different global correlation maps are obtained (for the first time without relying on a benchmark dataset) for some of the most used globally available rainfall products. This is central for hydroclimatic studies within data-scarce regions, where ground observations are scarce to evaluate the relative quality of a rainfall product
The paper explores a method for the assessment of the performance of global rainfall estimates...