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dc.date.accessioned2022-05-09T00:57:19Z
dc.date.available2022-05-09T00:57:19Z
dc.date.copyright4/18/2022
dc.date.issued2022
dc.identifier.otherBAMS-D-20-0276.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285937
dc.description.abstractThe model of atmospheric rivers (ARs) has been around since the 1990s. A closely related model is the warm conveyor belt (WCB) developed in the 1970s. Looking further back in time, a phenomenon known as the “moist tongue” was intensively investigated in the late 1930s and early 1940s by Rossby and his collaborators using the innovation of isentropic analysis. This article aims to establish a historical perspective on the development of the moist tongue model and its relevance to the current models of WCBs and ARs. As it turns out, the moist tongue was identified as an extension of moist air into a region of lower moisture content on the selected isentropic charts. Most moist tongues are driven by large-scale cyclonic and anticyclonic eddies and are often accompanied by surface cold fronts in close proximity. Ahead of the moist tongues, areas of continuous precipitation are caused mainly by the motion of moist air up the steep isentropic slopes over warm fronts or topographical features. In the warm season, the mere presence of a moist tongue could be sufficient to give thunderstorms. A reanalysis dataset is used to reexamine the structures and evolutions of two moist tongue events in 1936. It is shown that not all but some of the moist tongues fit well with the modern conceptual models of WCB and AR. These two case studies also serve to elucidate the usefulness of reanalysis data for investigating historical high-impact weather events that were poorly understood due to the lack of observational data.
dc.titlePrequel to the Stories of Warm Conveyor Belts and Atmospheric Rivers: The Moist Tongues Identified by Rossby and His Collaborators in the 1930s
dc.typeJournal Paper
dc.journal.volume103
dc.journal.issue4
dc.journal.titleBulletin of the American Meteorological Society
dc.treeBulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 004
dc.contenttypeFulltext


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