Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4803-2019
https://doi.org/10.5194/hess-23-4803-2019
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

Viewed

Total article views: 5,612 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,833 1,704 75 5,612 74 82
  • HTML: 3,833
  • PDF: 1,704
  • XML: 75
  • Total: 5,612
  • BibTeX: 74
  • EndNote: 82
Views and downloads (calculated since 27 Feb 2019)
Cumulative views and downloads (calculated since 27 Feb 2019)

Viewed (geographical distribution)

Total article views: 5,612 (including HTML, PDF, and XML) Thereof 4,968 with geography defined and 644 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Jun 2024
Download
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.