AbstractsGeography &GIS

Characterizing synoptic and cloud variability in the Northern Atlantic using self-organizing maps

by Carly Sue Fish

Institution: University of Kansas
Department: Geography
Degree: MS
Year: 2014
Keywords: Atmospheric sciences
Record ID: 2026421
Full text PDF: http://hdl.handle.net/1808/16862


Low − 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.