Developing a Lagrangian Frame Transformation on Satellite Data to Study Cloud Microphysical Transitions in Arctic Marine Cold Air Outbreaks

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dc.contributor.authorSeppala, Hannah
dc.contributor.authorZhang, Zhibo
dc.contributor.authorZheng, Xue
dc.date.accessioned2025-04-23T20:31:20Z
dc.date.available2025-04-23T20:31:20Z
dc.date.issued2025-03-13
dc.description.abstractArctic marine cold air outbreaks (CAOs) generate distinct and dynamic cloud regimes due to intense air-sea interactions. To understand the temporal evolution of CAO cloud properties and compare different CAO events, a Lagrangian perspective is particularly useful. We developed a novel technique that enables the conversion of inherently Eulerian satellite data into a Lagrangian framework, combining the broad spatiotemporal coverage of satellite observations with the advantages of Lagrangian tracking. This technique was applied to eight CAO cases associated with a recent field campaign. Our results reveal a striking contrast among the cases in terms of cloud-top phase transitions, providing new insights into the evolution of CAO cloud properties.
dc.description.sponsorshipHS is supported by the NSF Graduate Research Fellowship Program grant number NSF00169. XZ is supported by the DOE Office of Science Early Career Research Program and the project ‘Tying in High-Resolution E3SM with ARM Data (THREAD)’ funded by the Atmospheric System Research program of the U.S. Department of Energy. Work at Lawrence Livermore National Laboratory was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52- 07NA27344.
dc.description.urihttps://essopenarchive.org/users/900658/articles/1276093-developing-a-lagrangian-frame-transformation-on-satellite-data-to-study-cloud-microphysical-transitions-in-arctic-marine-cold-air-outbreaks?commit=740bb5589dd322fa9ca5489b4c7e16a9b77297e9
dc.format.extent47 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2qz9i-vsot
dc.identifier.urihttps://doi.org/10.22541/au.174188980.08184748/v1
dc.identifier.urihttp://hdl.handle.net/11603/38040
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Physics Department
dc.relation.ispartofUMBC Student Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleDeveloping a Lagrangian Frame Transformation on Satellite Data to Study Cloud Microphysical Transitions in Arctic Marine Cold Air Outbreaks
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-9233-5638
dcterms.creatorhttps://orcid.org/0000-0001-9491-1654

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