Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 1
Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-359-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-359-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 1
Research article
 | 
21 Jan 2021
Research article |  | 21 Jan 2021

A two-stage blending approach for merging multiple satellite precipitation estimates and rain gauge observations: an experiment in the northeastern Tibetan Plateau

Yingzhao Ma, Xun Sun, Haonan Chen, Yang Hong, and Yinsheng Zhang

Viewed

Total article views: 4,399 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,074 1,210 115 4,399 125 147
  • HTML: 3,074
  • PDF: 1,210
  • XML: 115
  • Total: 4,399
  • BibTeX: 125
  • EndNote: 147
Views and downloads (calculated since 17 Feb 2020)
Cumulative views and downloads (calculated since 17 Feb 2020)

Viewed (geographical distribution)

Total article views: 4,399 (including HTML, PDF, and XML) Thereof 4,072 with geography defined and 327 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Nov 2025
Download
Short summary
A two-stage blending approach is proposed for the data fusion of multiple satellite precipitation estimates (SPEs), which firstly reduces the systematic errors of original SPEs based on a Bayesian correction model and then merges the bias-corrected SPEs with a Bayesian weighting model. The model is evaluated in the warm season of 2010–2014 in the northeastern Tibetan Plateau. Results show that the blended SPE is greatly improved compared with the original SPEs, even in heavy rainfall events.
Read more
Share