Performance assessment of general circulation models: application of compromise programming method and global performance indicator technique

Selection of an appropriate ensemble of General Circulation Models (GCMs) is vital to properly assess the impacts of climate change in a region. Several methods exist for the ranking and selection of GCMs. The present study compares the commonly-used Compromise Programming (CP) method and the recent...

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Veröffentlicht in:	Stochastic environmental research and risk assessment Jg. 36; H. 6; S. 1761 - 1778
Hauptverfasser:	Deepthi, B., Sivakumar, Bellie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2022 Springer Nature B.V
Schlagworte:	Aquatic Pollution Business metrics Chemistry and Earth Sciences Climate change Climate models Computational Intelligence Computer Science Decision making Earth and Environmental Science Earth Sciences Environment Environmental impact General circulation models Indicators Math. Appl. in Environmental Science Original Paper Performance assessment Performance evaluation Physics Probability Theory and Stochastic Processes Rainfall Ranking River basins Statistics for Engineering Waste Water Technology Water Management Water Pollution Control Global performance indicator technique Compromise programming method Kling–Gupta efficiency Ranking General circulation models SPAtial EFficiency metric
ISSN:	1436-3240, 1436-3259
Online-Zugang:	Volltext
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