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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (12 Jul 2018) by Remko Uijlenhoet
AR by Phu Nguyen on behalf of the Authors (10 Aug 2018)  Author's response   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (13 Aug 2018) by Remko Uijlenhoet
ED: Referee Nomination & Report Request started (13 Sep 2018) by Remko Uijlenhoet
RR by Anonymous Referee #1 (17 Sep 2018)
RR by Anonymous Referee #3 (21 Oct 2018)
RR by Anonymous Referee #2 (23 Oct 2018)
ED: Publish subject to minor revisions (review by editor) (23 Oct 2018) by Remko Uijlenhoet
AR by Phu Nguyen on behalf of the Authors (30 Oct 2018)  Manuscript 
ED: Publish as is (30 Oct 2018) by Remko Uijlenhoet
AR by Phu Nguyen on behalf of the Authors (30 Oct 2018)  Manuscript 
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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.