Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 11
Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5801-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5801-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 11
Review article
 | 
13 Nov 2018
Review article |  | 13 Nov 2018

The PERSIANN family of global satellite precipitation data: a review and evaluation of products

Phu Nguyen, Mohammed Ombadi, Soroosh Sorooshian, Kuolin Hsu, Amir AghaKouchak, Dan Braithwaite, Hamed Ashouri, and Andrea Rose Thorstensen

Viewed

Total article views: 7,337 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,901 2,332 104 7,337 159 165
  • HTML: 4,901
  • PDF: 2,332
  • XML: 104
  • Total: 7,337
  • BibTeX: 159
  • EndNote: 165
Views and downloads (calculated since 12 Apr 2018)
Cumulative views and downloads (calculated since 12 Apr 2018)

Viewed (geographical distribution)

Total article views: 7,337 (including HTML, PDF, and XML) Thereof 6,897 with geography defined and 440 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
The goal of this article is to first provide an overview of the available PERSIANN precipitation retrieval algorithms and their differences. We evaluate the products over CONUS at different spatial and temporal scales using CPC data. Daily scale is the finest temporal scale used for the evaluation over CONUS. We provide a comparison of the available products at a quasi-global scale. We highlight the strengths and limitations of the PERSIANN products.
Read more
Share