Articles | Volume 17, issue 9
https://doi.org/10.5194/nhess-17-1469-2017
https://doi.org/10.5194/nhess-17-1469-2017
Research article
 | 
06 Sep 2017
Research article |  | 06 Sep 2017

Verification of pre-monsoon temperature forecasts over India during 2016 with a focus on heatwave prediction

Harvir Singh, Kopal Arora, Raghavendra Ashrit, and Ekkattil N. Rajagopal

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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) (28 Dec 2016) by Bruce D. Malamud
AR by HARVIR SINGH on behalf of the Authors (25 Jan 2017)
ED: Referee Nomination & Report Request started (26 Jan 2017) by Bruce D. Malamud
RR by Anonymous Referee #2 (15 Mar 2017)
ED: Publish subject to minor revisions (further review by Editor) (27 Mar 2017) by Bruce D. Malamud
AR by HARVIR SINGH on behalf of the Authors (02 Apr 2017)
ED: Publish subject to minor revisions (further review by Editor) (06 Apr 2017) by Bruce D. Malamud
AR by HARVIR SINGH on behalf of the Authors (15 Apr 2017)  Author's response   Manuscript 
ED: Publish subject to minor revisions (further review by Editor) (22 Apr 2017) by Bruce D. Malamud
AR by HARVIR SINGH on behalf of the Authors (01 May 2017)  Author's response   Manuscript 
ED: Publish subject to minor revisions (further review by Editor) (02 May 2017) by Bruce D. Malamud
AR by HARVIR SINGH on behalf of the Authors (11 May 2017)  Author's response   Manuscript 
ED: Publish as is (26 Jul 2017) by Bruce D. Malamud
AR by HARVIR SINGH on behalf of the Authors (04 Aug 2017)  Author's response   Manuscript 
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Short summary
Heatwave conditions prevailed at over wide regions of central and northern India during March–April–May 2016. A prevailing heatwave over India took more than 500 lives. Here we investigate the extreme events (heatwaves) using a high-resolution numerical weather prediction and its ensemble forecast in union with classical statistical scores to serve verification purposes.
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