Mathematics – Logic
Scientific paper
May 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3510702k&link_type=abstract
Geophysical Research Letters, Volume 35, Issue 10, CiteID L10702
Mathematics
Logic
4
Atmospheric Processes: Climatology (1616, 1620, 3305, 4215, 8408), Atmospheric Processes: Climate Change And Variability (1616, 1635, 3309, 4215, 4513), Atmospheric Processes: Synoptic-Scale Meteorology, Global Change: Climate Variability (1635, 3305, 3309, 4215, 4513), Global Change: Atmosphere (0315, 0325)
Scientific paper
Time series of individual climate variables, such as air temperature and precipitation, have been thoroughly examined to evaluate climate change, but few studies have evaluated how air masses have varied over time. We use the Spatial Synoptic Classification air mass approach to classify multivariate meteorological surface variables into discrete groups and examine trends in air mass frequencies over the period 1948-2005 for the continental United States. We observe increases in warm, moist air masses at the expense of cold, dry air masses, consistent with expectations in an atmosphere with increasing greenhouse gas concentrations. Temporal variations in the North Atlantic Oscillation, Pacific/North American teleconnection pattern, Arctic Oscillation, and El Niño-Southern Oscillation partially explain some of these observed trends in winter.
Davis Robert E.
Deaton Michael
Gawtry Stephen D.
Hondula David M.
Kenny Barrett P.
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