Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 4
Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-2061-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-2061-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 4
Research article
 | 
23 Apr 2020
Research article |  | 23 Apr 2020

A new uncertainty estimation approach with multiple datasets and implementation for various precipitation products

Xudong Zhou, Jan Polcher, Tao Yang, and Ching-Sheng Huang

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Short summary
This article proposes a new estimation approach for assessing the uncertainty with multiple datasets by fully considering all variations in temporal and spatial dimensions. Comparisons demonstrate that classical metrics may underestimate the uncertainties among datasets due to an averaging process in their algorithms. This new approach is particularly suitable for overall assessment of multiple climatic products, but can be easily applied to other spatiotemporal products in related fields.
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