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dc.contributor.authorXu, Wenwei;Balaguru, Karthik;August, Andrew;Lalo, Nicholas;Hodas, Nathan;DeMaria, Mark;Judi, David
dc.date.accessioned2022-03-26T19:47:13Z
dc.date.available2022-03-26T19:47:13Z
dc.date.copyright01 Aug. 2021
dc.date.issued2021
dc.identifier.otherWAF-D-20-0104.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4280590
dc.publisherAmerican Meteorological Society
dc.titleDeep Learning Experiments for Tropical Cyclone Intensity Forecasts
dc.typeJournal Paper
dc.journal.volume36
dc.journal.issue4
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-20-0104.1
dc.journal.fristpage1453
dc.journal.lastpage1470
dc.treeWeather and Forecasting:;2021:;volume( 036 ):;issue: 004
dc.contenttypeFulltext


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