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Full-Text Articles in Geography
Characterizing Large-Scale Meteorological Patterns And Associated Temperature And Precipitation Extremes Over The Northwestern United States Using Self-Organizing Maps, Paul C. Loikith, Benjamin R. Lintner, Alex Sweeney
Characterizing Large-Scale Meteorological Patterns And Associated Temperature And Precipitation Extremes Over The Northwestern United States Using Self-Organizing Maps, Paul C. Loikith, Benjamin R. Lintner, Alex Sweeney
Geography Faculty Publications and Presentations
The self-organizing maps (SOMs) approach is demonstrated as a way to identify a range of archetypal large-scale meteorological patterns (LSMPs) over the northwestern United States and connect these patterns with local-scale temperature and precipitation extremes. SOMs are used to construct a set of 12 characteristic LSMPs (nodes) based on daily reanalysis circulation fields spanning the range of observed synoptic-scale variability for the summer and winter seasons for the period 1979–2013. Composites of surface variables are constructed for subsets of days assigned to each node to explore relationships between temperature, precipitation, and the node patterns. The SOMs approach also captures interannual …