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.
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.
the Creative Commons Attribution 4.0 License.
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
Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM),
Johor Bahru, 81310, Malaysia
Faculty of Water Resource Management, Lasbela University of
Agriculture, Water and Marine Sciences, Balochistan, 90150, Pakistan
Dhanapala A. Sachindra
Institute for Sustainability and Innovation, College of Engineering
and Science, Victoria University, P.O. Box 14428, Melbourne, Victoria 8001,
Australia
Shamsuddin Shahid
Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM),
Johor Bahru, 81310, Malaysia
Mehmet C. Demirel
Department of Civil Engineering, Istanbul Technical University, 34469
Maslak, Istanbul, Turkey
Department of Civil Engineering, Seoul National University of Science
and Technology, Seoul, 01811, Republic of Korea
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Latest update: 20 Nov 2024
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.
This study evaluated the performance of 36 CMIP5 GCMs in simulating seasonal precipitation and...