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Volume 21, issue 9 | Copyright
Hydrol. Earth Syst. Sci., 21, 4347-4361, 2017
https://doi.org/10.5194/hess-21-4347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 05 Sep 2017

Research article | 05 Sep 2017

An assessment of the performance of global rainfall estimates without ground-based observations

Christian Massari et al.
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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...
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