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

Viewed

Total article views: 3,276 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,381 821 74 3,276 61 69
  • HTML: 2,381
  • PDF: 821
  • XML: 74
  • Total: 3,276
  • BibTeX: 61
  • EndNote: 69
Views and downloads (calculated since 05 Feb 2019)
Cumulative views and downloads (calculated since 05 Feb 2019)

Viewed (geographical distribution)

Total article views: 3,276 (including HTML, PDF, and XML) Thereof 2,711 with geography defined and 565 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 23 Nov 2024
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.
Read more