Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics

Ahmed, Kamal; Sachindra, Dhanapala A.; Shahid, Shamsuddin; Demirel, Mehmet C.; Chung, Eun-Sung

doi:https://doi.org/10.5194/hess-23-4803-2019

Articles | Volume 23, issue 11

https://doi.org/10.5194/hess-23-4803-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-23-4803-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 11

Research article

|

25 Nov 2019

Research article |

| 25 Nov 2019

Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics

Kamal Ahmed, Dhanapala A. Sachindra, Shamsuddin Shahid, Mehmet C. Demirel, and Eun-Sung Chung

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Final revised paper (published on 25 Nov 2019)
Preprint (discussion started on 27 Feb 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of Ahmed et al', Anonymous Referee #1, 27 Mar 2019
- AC2: 'Responses to Reviewer 1's comments', Eun-Sung Chung, 26 Aug 2019
SC1: 'Selection of multi-model ensemble of GCMs for the simulation of precipitation based on spatial assessment metrics', J.H. SUNG. Sung, 29 May 2019
- AC1: 'Response to Sung's comments', Eun-Sung Chung, 26 Aug 2019
RC2: 'Review of Ahmed et al. (2019)', Anonymous Referee #2, 18 Jun 2019
- AC5: 'Responses to Reviewer 2's comments', Eun-Sung Chung, 26 Aug 2019
RC3: '“Selection of multi-model ensemble of GCMs for the simulation of precipitation based on spatial assessment metrics” by K. Ahmed et al. 2019', Anonymous Referee #3, 09 Jul 2019
- AC4: 'Response to Reviewer 3's comments', Eun-Sung Chung, 26 Aug 2019
AC3: 'Response to Reviewer 2's comment', Eun-Sung Chung, 26 Aug 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (15 Oct 2019) by Luis Samaniego

Short summary

This study evaluated the performance of 36 CMIP5 GCMs in simulating seasonal precipitation and maximum and minimum temperature over Pakistan using spatial metrics (SPAtial EFficiency, fractions skill score, Goodman–Kruskal's lambda, Cramer's V, Mapcurves, and Kling–Gupta efficiency) for the period 1961–2005. NorESM1-M, MIROC5, BCC-CSM1-1, and ACCESS1-3 were identified as the most suitable GCMs for simulating all three climate variables over Pakistan.