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Panel and multivariate methods for tests of trend equivalence in climate data series
Author(s) -
McKitrick Ross,
McIntyre Stephen,
Herman Chad
Publication year - 2010
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl.290
Subject(s) - multivariate statistics , econometrics , climatology , covariance , equivalence (formal languages) , mathematics , series (stratigraphy) , panel data , multivariate analysis , statistics , environmental science , geology , paleontology , discrete mathematics
We explain panel and multivariate regressions for comparing trends in climate data sets. They impose minimal restrictions on the covariance matrix and can embed multiple linear comparisons, which is a convenience in applied work. We present applications comparing post‐1979 modeled and observed temperature trends in the tropical lower‐ and mid‐troposphere. Results are sensitive to the sample length. In data spanning 1979–1999, observed trends are not significantly different from zero or from model projections. In data spanning 1979–2009, the observed trends are significant in some cases but tend to differ significantly from modeled trends. Copyright © 2010 Royal Meteorological Society

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