Articles | Volume 11, issue 4
Earth Syst. Sci. Data, 11, 1711–1744, 2019
https://doi.org/10.5194/essd-11-1711-2019
Earth Syst. Sci. Data, 11, 1711–1744, 2019
https://doi.org/10.5194/essd-11-1711-2019

  21 Nov 2019

21 Nov 2019

WHU-SGCC: a novel approach for blending daily satellite (CHIRP) and precipitation observations over the Jinsha River basin

Gaoyun Shen et al.

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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
AR by Nengchen Chen on behalf of the Authors (25 Apr 2019)  Author's response
ED: Referee Nomination & Report Request started (02 May 2019) by Giulio G.R. Iovine
RR by Anonymous Referee #3 (16 May 2019)
RR by Anonymous Referee #4 (17 Jun 2019)
RR by Anonymous Referee #5 (20 Jun 2019)
RR by Anonymous Referee #6 (01 Jul 2019)
RR by Anonymous Referee #7 (03 Jul 2019)
ED: Reconsider after major revisions (16 Jul 2019) by Giulio G.R. Iovine
AR by Nengchen Chen on behalf of the Authors (27 Aug 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Aug 2019) by Giulio G.R. Iovine
RR by Anonymous Referee #7 (04 Sep 2019)
RR by Anonymous Referee #6 (06 Sep 2019)
RR by Anonymous Referee #4 (15 Sep 2019)
ED: Publish subject to minor revisions (review by editor) (16 Sep 2019) by Giulio G.R. Iovine
AR by Nengchen Chen on behalf of the Authors (25 Sep 2019)  Author's response    Manuscript
ED: Publish as is (26 Sep 2019) by Giulio G.R. Iovine

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Gaoyun Shen on behalf of the Authors (07 Nov 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (18 Nov 2019) by Giulio G.R. Iovine
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Short summary
The development of effective methods for high-accuracy precipitation estimates over complex terrain and on a daily scale is important for mountainous hydrological applications. This study offers a novel approach called WHU-SGCC by blending rain gauge and satellite data to estimate daily precipitation at 0.05° resolution over the Jinsha River basin, the complicated mountainous terrain with sparse rain gauge data, considering the spatial correlation and historical precipitation characteristics.