Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5801-2018
https://doi.org/10.5194/hess-22-5801-2018
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: 6,164 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,064 2,015 85 6,164 120 123
  • HTML: 4,064
  • PDF: 2,015
  • XML: 85
  • Total: 6,164
  • BibTeX: 120
  • EndNote: 123
Views and downloads (calculated since 12 Apr 2018)
Cumulative views and downloads (calculated since 12 Apr 2018)

Viewed (geographical distribution)

Total article views: 6,164 (including HTML, PDF, and XML) Thereof 5,745 with geography defined and 419 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
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.