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Investigation of Machine Learning Using Satellite-Based Advanced Dvorak Technique Analysis Parameters to Estimate Tropical Cyclone Intensity

dc.contributor.authorOlander, Timothy;Wimmers, Anthony;Velden, Christopher;Kossin, James P.
dc.date.accessioned2022-03-26T19:50:12Z
dc.date.available2022-03-26T19:50:12Z
dc.date.copyright01 Dec. 2021
dc.date.issued2021
dc.identifier.otherWAF-D-20-0234.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4280657
dc.publisherAmerican Meteorological Society
dc.titleInvestigation of Machine Learning Using Satellite-Based Advanced Dvorak Technique Analysis Parameters to Estimate Tropical Cyclone Intensity
dc.typeJournal Paper
dc.journal.volume36
dc.journal.issue6
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-20-0234.1
dc.journal.fristpage2161
dc.journal.lastpage2186
dc.treeWeather and Forecasting:;2021:;volume( 036 ):;issue: 006
dc.contenttypeFulltext


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