Performance evaluation of CMIP6 climate models for selecting a suitable GCM for future precipitation at different places of Tamil Nadu.
CMIP6 Ranking
Climate models
Compromise Programming
Future precipitation
Performance evaluation
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
11 Jul 2023
11 Jul 2023
Historique:
received:
18
03
2022
accepted:
01
06
2023
medline:
13
7
2023
pubmed:
11
7
2023
entrez:
11
7
2023
Statut:
epublish
Résumé
Climate change refers to long-term variations in climate parameters. Future climate information can be projected using a GCM (General Circulation Model). Identifying a particular GCM is crucial for climate impact studies. Researchers are perplexed about selecting a suitable GCM for downscaling to predict future climate parameters. Recent updates to CMIP6 global climate models have included shared socioeconomic pathways based on the IPCC (Intergovernmental Panel on Climate Change) Sixth Assessment Report (AR6). The performance of 24 CMIP6 GCMs in precipitation with a multi-model ensemble filter was compared to IMD (India Meteorological Department) 0.25 × 0.25 degrees rainfall data in Tamil Nadu. The performance was evaluated with the help of Compromise Programming (CP), which involves metrics such as R
Identifiants
pubmed: 37432481
doi: 10.1007/s10661-023-11454-9
pii: 10.1007/s10661-023-11454-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
928Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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