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dc.contributor.advisorMechem, David
dc.contributor.authorFish, Carly Sue
dc.date.accessioned2015-02-25T20:01:27Z
dc.date.available2015-02-25T20:01:27Z
dc.date.issued2014-08-31
dc.date.submitted2014
dc.identifier.otherhttp://dissertations.umi.com/ku:13606
dc.identifier.urihttp://hdl.handle.net/1808/16862
dc.description.abstractLow − level clouds have a significant influence on the Earth's radiation budget and it is thus imperative to understand their behavior within the marine boundary layer (MBL). The cloud properties in the Northeast Atlantic region are highly variable in space and time and are a research focus for many atmospheric scientists. Characterizing the synoptic patterns in the region through the implementation of self-organizing maps (SOMs) enables a climatological grasp of cloud and atmospheric fields. ERA – Interim and MODIS provide the platform to explore the variability in the Northeast Atlantic for over 30 years of data. Station data comes from CAP – MBL on Graciosa Island in the Azores, which lies in a strong gradient of cloud and other atmospheric fields, offer an opportunity to incorporate an observational aspect for the years of 2009 and 2010.
dc.format.extent66 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectAtmospheric sciences
dc.subjectAtlantic
dc.subjectcharacterizing
dc.subjectlow-level clouds
dc.subjectself-organizing maps
dc.subjectstratocumulus
dc.subjectsynoptic
dc.titleCharacterizing synoptic and cloud variability in the Northern Atlantic using self-organizing maps
dc.typeThesis
dc.contributor.cmtememberBrunsell, Nathaniel
dc.contributor.cmtememberRahn, David
dc.thesis.degreeDisciplineGeography
dc.thesis.degreeLevelM.S.
dc.rights.accessrightsopenAccess


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