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- W279133036 abstract "Abstract Based on univariate correlation and coherence analyses, including techniques moving in time, and taking account of the physical basis of the relationships, a simple multivariate concept is presented which correlates observational climatic time series simultaneously with solar, volcanic, ENSO (El Nino/Southern Oscillation) and anthropogenic greenhouse-gas forcing. The climatic elements considered are air temperature (near the ground and stratosphere), sea surface temperature, sea level and precipitation, and cover at least the period 1881-1980 (stratospheric temperature only since 1960). The climate signal assessments which may be hypothetically attributed to the observed CO 2 or “equivalent” CO 2 (implying additional greenhouse gases) increase are compared with those resulting from GCM experiments. In case of the Northern Hemisphere air temperature these comparisons are performed not only in respect to hemispheric and global means, but also in respect to the regional and seasonal patterns. Autocorrelations and phase shifts of the climate response to natural and anthropogenic forcing complicate the statistical assessments." @default.
- W279133036 created "2016-06-24" @default.
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- W279133036 date "1991-01-01" @default.
- W279133036 modified "2023-09-23" @default.
- W279133036 title "Multivariate Statistical Assessments of Greenhouse-Gas-Induced Climatic Change and Comparison with Results from General Circulation Models" @default.
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- W279133036 doi "https://doi.org/10.1016/b978-0-444-88351-3.50038-6" @default.
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