Review of approaches for selection and ensembling of GCMs
Author(s) -
Komaragiri Srinivasa Raju,
D. Nagesh Kumar
Publication year - 2020
Publication title -
journal of water and climate change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 22
eISSN - 2408-9354
pISSN - 2040-2244
DOI - 10.2166/wcc.2020.128
Subject(s) - selection (genetic algorithm) , ranking (information retrieval) , gcm transcription factors , criticism , water resources , environmental science , general circulation model , climatology , environmental resource management , climate change , computer science , environmental planning , political science , geology , artificial intelligence , ecology , oceanography , law , biology
Global climate models (GCMs) are developed to simulate past climate and produce projections of climate in future. Their roles in ascertaining regional issues and possible solutions in water resources planning/management are appreciated across the world. However, there is substantial uncertainty in the future projections of GCM(s) for practical and regional implementation which has attracted criticism by the water resources planners. The present paper aims at reviewing the selection of GCMs and focusing on performance indicators, ranking of GCMs and ensembling of GCMs and covering different geographical regions. In addition, this paper also proposes future research directions.
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