Data-Driven Transition Path Analysis Yields a Statistical Understanding of Sudden Stratospheric Warm...
Data-Driven Transition Path Analysis Yields a Statistical Understanding of Sudden Stratospheric Warming Events in an Idealized Model
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Publisher
Boston: American Meteorological Society
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Language
English
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Publisher
Boston: American Meteorological Society
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Contents
Atmospheric regime transitions are highly impactful as drivers of extreme weather events, but pose two formidable modeling challenges: predicting the next event (weather forecasting) and characterizing the statistics of events of a given severity (the risk climatology). Each event has a different duration and spatial structure, making it hard to de...
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Full title
Data-Driven Transition Path Analysis Yields a Statistical Understanding of Sudden Stratospheric Warming Events in an Idealized Model
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TN_cdi_osti_scitechconnect_2421133
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_osti_scitechconnect_2421133
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ISSN
0022-4928
E-ISSN
1520-0469
DOI
10.1175/JAS-D-21-0213.1
