Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4547-2018
https://doi.org/10.5194/hess-22-4547-2018
Research article
 | 
28 Aug 2018
Research article |  | 28 Aug 2018

Evaluation of multiple climate data sources for managing environmental resources in East Africa

Solomon Hailu Gebrechorkos, Stephan Hülsmann, and Christian Bernhofer

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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) (08 Feb 2018) by Shraddhanand Shukla
AR by Solomon Hailu Gebrechorkos on behalf of the Authors (07 Mar 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Mar 2018) by Shraddhanand Shukla
RR by Anonymous Referee #2 (01 May 2018)
RR by Anonymous Referee #1 (10 May 2018)
ED: Reconsider after major revisions (further review by editor and referees) (14 May 2018) by Shraddhanand Shukla
AR by Solomon Hailu Gebrechorkos on behalf of the Authors (24 May 2018)  Author's response    Manuscript
ED: Reconsider after major revisions (further review by editor and referees) (29 Jun 2018) by Shraddhanand Shukla
AR by Anna Wenzel on behalf of the Authors (09 Jul 2018)  Author's response
ED: Publish subject to minor revisions (further review by editor) (20 Jul 2018) by Shraddhanand Shukla
AR by Solomon Hailu Gebrechorkos on behalf of the Authors (23 Jul 2018)  Author's response    Manuscript
ED: Publish as is (02 Aug 2018) by Shraddhanand Shukla
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Short summary
In Africa field-based meteorological data are scarce; therefore global data sources based on remote sensing and climate models are often used as alternatives. To assess their suitability for a large and topographically complex area in East Africa, we evaluated multiple climate data products with available ground station data at multiple timescales over 21 regions. The comprehensive evaluation resulted in identification of preferential data sources to be used for climate and hydrological studies.