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Wang, Fuyao, Notaro, Michael, Yu, Yan, Mao, Jiafu (2023) Deficient precipitation sensitivity to Sahel land surface forcings among CMIP5 models. International Journal of Climatology, 43 (1) 99-122 doi:10.1002/joc.7737

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Reference TypeJournal (article/letter/editorial)
TitleDeficient precipitation sensitivity to Sahel land surface forcings among CMIP5 models
JournalInternational Journal of Climatology
AuthorsWang, FuyaoAuthor
Notaro, MichaelAuthor
Yu, YanAuthor
Mao, JiafuAuthor
Year2023 (January)Volume43
Issue1
PublisherWiley
DOIdoi:10.1002/joc.7737Search in ResearchGate
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Mindat Ref. ID15671151Long-form Identifiermindat:1:5:15671151:9
GUID0
Full ReferenceWang, Fuyao, Notaro, Michael, Yu, Yan, Mao, Jiafu (2023) Deficient precipitation sensitivity to Sahel land surface forcings among CMIP5 models. International Journal of Climatology, 43 (1) 99-122 doi:10.1002/joc.7737
Plain TextWang, Fuyao, Notaro, Michael, Yu, Yan, Mao, Jiafu (2023) Deficient precipitation sensitivity to Sahel land surface forcings among CMIP5 models. International Journal of Climatology, 43 (1) 99-122 doi:10.1002/joc.7737
In(2023, January) International Journal of Climatology Vol. 43 (1) Wiley

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Yu, Yan, Notaro, Michael, Wang, Fuyao, Mao, Jiafu, Shi, Xiaoying, Wei, Yaxing (2017) Observed positive vegetation-rainfall feedbacks in the Sahel dominated by a moisture recycling mechanism. Nature Communications, 8. doi:10.1038/s41467-017-02021-1
Notaro, Michael, Wang, Fuyao, Yu, Yan, Mao, Jiafu (2020) Projected changes in the terrestrial and oceanic regulators of climate variability across sub-Saharan Africa. Climate Dynamics, 55 (5) 1031-1057 doi:10.1007/s00382-020-05308-0
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Gu, Guojun, Adler, Robert F. (2012) Large-scale, inter-annual relations among surface temperature, water vapour and precipitation with and without ENSO and volcano forcings. International Journal of Climatology, 32 (12). 1782-1791 doi:10.1002/joc.2393
Nosratpour, Reza, Rahimzadegan, Majid (2023) Clustering and assessment of precipitation climates using satellite precipitation products and improved machine learning precipitation models. International Journal of Climatology, 43 (16) 7819-7850 doi:10.1002/joc.8294
 
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