Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6117-2017
https://doi.org/10.5194/hess-21-6117-2017
Research article
 | 
01 Dec 2017
Research article |  | 01 Dec 2017

Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale

Harsh Beria, Trushnamayee Nanda, Deepak Singh Bisht, and Chandranath Chatterjee

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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: Reconsider after major revisions (further review by Editor and Referees) (24 May 2017) by Hannah Cloke
AR by Harsh Beria on behalf of the Authors (06 Jul 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (09 Aug 2017) by Hannah Cloke
RR by Anonymous Referee #1 (13 Sep 2017)
ED: Publish subject to minor revisions (further review by Editor) (26 Sep 2017) by Hannah Cloke
AR by Harsh Beria on behalf of the Authors (28 Sep 2017)  Author's response   Manuscript 
ED: Publish as is (05 Oct 2017) by Hannah Cloke
AR by Harsh Beria on behalf of the Authors (08 Oct 2017)  Manuscript 
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Short summary
High-quality satellite precipitation forcings have provided a viable alternative to hydrologic modeling in data-scarce regions. Ageing TRMM sensors have recently been upgraded to GPM, promising enhanced spatio-temporal resolutions. Statistical and hydrologic evaluation of GPM measurements across 86 Indian river basins revealed improved low rainfall estimates with reduced effects of climatology and topography.