Evaluation of CanCM3 and CanCM4 models from the North American Multi-Model Ensemble (NMME) for drought prediction in arid and semi-arid basins of Iran

20528 7 109525 2 332195 document 109525 ws2025029.pdf application/pdf 4a44fd498edcbe3c47ba7d34e3fc8954 MD5 1649805 2025-04-23 07:47:15 https://pure.iiasa.ac.at/id/eprint/20528/1/ws2025029.pdf 20528 1 1 application/pdf text en public cc_by_4

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109525 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109525 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109525 archive 353 disk0/00/02/05/28 2025-04-23 07:48:54 2025-04-23 07:48:54 2025-04-23 07:48:54 article show Moghasemi M. Zohrabi N. Fathian H. Shahbazi A.N. Yeganegi R. 2456 0000-0003-4109-0690 Evaluation of CanCM3 and CanCM4 models from the North American Multi-Model Ensemble (NMME) for drought prediction in arid and semi-arid basins of Iran pub ASA CAT CanCM3, CanCM4, drought, forecast, NMME, SPEI ABSTRACT This study evaluates the potential of two models within the North American Multi-Model Ensemble (NMME) system, i.e., CanCM3 and CanCM4, for improving drought risk management through reliable prediction. By employing the Standardized Precipitation Evapotranspiration Index (SPEI) and gridded datasets (GPCC and CRU), this study assesses their drought forecast capabilities across four semi-arid to arid basins in Iran. The results reveal that both models effectively capture drought events at short lead times (0.5 months), achieving correlation coefficients exceeding 0.93. The performance decline at longer lead times (3.5 months) is less severe in spring and autumn, maintaining correlations of >0.6 compared to summer. A Critical Success Index (CSI) analysis further highlights the models' skill in detecting summer drought events at a 1.5-month lead time (CSI >0.94), underscoring their utility for critical agricultural and water resource planning. Seasonal analysis shows CanCM4 outperforming CanCM3, particularly regarding CSI and correlation stability. These findings offer a novel contribution to understanding the applicability of CanCM3 and CanCM4 for drought forecast purposes in arid and semi-arid basins and underline their value for enhancing drought early warning systems and supporting efficient resource allocation to mitigate drought impacts. 2025-03-01 published IWA doi:10.2166/ws.2025.029 3692 public Water Supply 25 3 647-664 18 TRUE 1606-9749 no info:eu-repo/semantics/article