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Ghamghami, Mahdi, Bazrafshan, Javad (2023) Improved teleconnective predictability of monthly precipitation amounts using canonical correlation analysis. Arabian Journal of Geosciences, 16 (2) doi:10.1007/s12517-022-11143-w

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Reference TypeJournal (article/letter/editorial)
TitleImproved teleconnective predictability of monthly precipitation amounts using canonical correlation analysis
JournalArabian Journal of Geosciences
AuthorsGhamghami, MahdiAuthor
Bazrafshan, JavadAuthor
Year2023 (February)Volume16
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12517-022-11143-wSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID15673065Long-form Identifiermindat:1:5:15673065:7
GUID0
Full ReferenceGhamghami, Mahdi, Bazrafshan, Javad (2023) Improved teleconnective predictability of monthly precipitation amounts using canonical correlation analysis. Arabian Journal of Geosciences, 16 (2) doi:10.1007/s12517-022-11143-w
Plain TextGhamghami, Mahdi, Bazrafshan, Javad (2023) Improved teleconnective predictability of monthly precipitation amounts using canonical correlation analysis. Arabian Journal of Geosciences, 16 (2) doi:10.1007/s12517-022-11143-w
In(2023, February) Arabian Journal of Geosciences Vol. 16 (2) Springer Science and Business Media LLC

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