USING SELF-ORGANIZING MAPS (SOMS) TO CONNECT LOW CLOUD MORPHOLOGY TO THE LARGE-SCALE ENVIRONMENT

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24Jun_Griffin_Jeremiah.pdf (11.53 MB)
Authors
Griffin, Jeremiah M.
Subjects
SOM
self-organizing map
low cloud morphology
cold pools
Advisors
Witte, Mikael
Date of Issue
2024-06
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Monterey, CA; Naval Postgraduate School
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Abstract
Small-scale processes such as aerosol-cloud interactions, precipitation, and turbulence are parameterized in current numerical models, leading to inaccurate prediction of marine low cloud morphology. This is a cause of biases in modeled cloud radiative properties that can feedback on larger-scale meteorology. This thesis uses self-organizing maps (SOMs) to determine statistical relationships between reanalysis-derived environmental properties and surface observations of cold pools (a marker of precipitation activity) in the eastern North Atlantic region.
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Thesis
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https://hdl.handle.net/10945/73130
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Distribution Statement A. Approved for public release: Distribution is unlimited.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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