Articles | Volume 24, issue 4
Hydrol. Earth Syst. Sci., 24, 2061–2081, 2020
https://doi.org/10.5194/hess-24-2061-2020
Hydrol. Earth Syst. Sci., 24, 2061–2081, 2020
https://doi.org/10.5194/hess-24-2061-2020
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 et al.

Viewed

Total article views: 2,256 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,663 567 26 2,256 26 35
  • HTML: 1,663
  • PDF: 567
  • XML: 26
  • Total: 2,256
  • BibTeX: 26
  • EndNote: 35
Views and downloads (calculated since 05 Feb 2019)
Cumulative views and downloads (calculated since 05 Feb 2019)

Viewed (geographical distribution)

Total article views: 1,719 (including HTML, PDF, and XML) Thereof 1,705 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 08 Aug 2022
Download
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.