作者: Nicholas R. Cavanaugh , Samuel S. P. Shen
DOI: 10.1175/JCLI-D-13-00470.1
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摘要: AbstractThe first four statistical moments and their trends are calculated for the average daily surface air temperature (SAT) from 1950 to 2010 using Global Historical Climatology Network–Daily station data each season relative 1961–90 climatology over Northern Hemisphere. Temporal variation of SAT probability distributions represented as generalized linear regression coefficients on mean, standard deviation, skewness, kurtosis 10-yr moving time window 1950–59 2001–10. The these suggest that non-Gaussian changing in time. has distinct spatial patterns with large coherent structure mean deviation relatively smaller more regionalized skewness kurtosis. temporal also have pattern...