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

2025 · doi:10.22541/au.174188980.08184748/v1
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The paper develops a novel Lagrangian frame transformation method to convert inherently Eulerian satellite observations into a Lagrangian framework for studying temporal evolution of cloud properties. The authors apply the technique to eight Arctic marine cold air outbreak cases associated with a recent field campaign, comparing microphysical cloud-top phase transitions across events. They report a striking case-to-case contrast in cloud-top phase transitions, interpreted as providing new insights into how CAO cloud properties evolve. The study is explicitly a preprint and notes that the work is preliminary and not peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Arctic 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.
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Abstract

Arctic 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. Supplementary Material File (1025824_0_merged_1741277480.pdf) - Download - 7.42 MB File (employing_a_lagrangian_frame_transformation_v3 (1).pdf) - Download - 7.40 MB File (ms01.gif) - Download - 2.15 MB File (ms02.gif) - Download - 3.25 MB File (ms03.gif) - Download - 1.57 MB File (ms04.gif) - Download - 3.66 MB File (si_for_employing_a_lagrangian_frame_transformation_v3 (2).pdf) - Download - 10.97 MB Information & Authors Information Version history Peer review timeline Published Geophysical Research Letters Version of Record8 May 2025Published Copyright This work is licensed under a MIT License

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Authors Funding Information Metrics & Citations Metrics Article Usage 228views 127downloads Citations Download citation Hannah Seppala, Zhibo Zhang, Xue Zheng. Developing a Lagrangian Frame Transformation on Satellite Data to Study Cloud Microphysical Transitions in Arctic Marine Cold Air Outbreaks. Authorea. 13 March 2025. DOI: https://doi.org/10.22541/au.174188980.08184748/v1 DOI: https://doi.org/10.22541/au.174188980.08184748/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

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