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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Cited articles

Abbasian, M., Moghim, S., and Abrishamchi, A.: Performance of the general circulation models in simulating temperature and precipitation over Iran, Theor. Appl. Climatol., 135, 1465–1483,, 2019. 
Acharya, N., Singh, A., Mohanty, U. C., Nair, A., and Chattopadhyay, S.: Performance of general circulation models and their ensembles for the prediction of drought indices over India during summer monsoon, Nat. Hazards, 66, 851–871,, 2013. 
Afshar, A. A., Hasanzadeh, Y., Besalatpour, A. A., and Pourreza-Bilondi, M.: Climate change forecasting in a mountainous data scarce watershed using CMIP5 models under representative concentration pathways, Theor. Appl. Climatol., 129, 683–699,, 2016. 
Ahmadalipour, A., Rana, A., Moradkhani, H., and Sharma, A.: Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis, Theor. Appl. Climatol., 128, 71–87,, 2017. 
Ahmed, K., Shahid, S., and Harun, S. B.: Spatial interpolation of climatic variables in a predominantly arid region with complex topography, Environment Systems and Decisions, 34, 555–563, 2014. 
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.