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- W18684329 abstract "Abstract Because the sample size in sensitivity studies with atmospheric GCMs is much smaller than the dimension of the GCM fields, the multivariate signal-to-noise analysis of the experiments requires a drastic reduction in dimensionality. This can be done by applying a hypothesis-testing strategy, where the anticipated GCM response to a prescribed change is represented by an a priori sequence of guessed patterns characterized by only a few parameters. The method is discussed and briefly illustrated by a sea-surface temperature anomaly experiment made with two versions of the GISS GCM. The sea-surface temperature anomaly is in the North Pacific, and is shown to have a significant influence at the planetary scale on the wintertime circulation of the two models. The response patterns are, however, very different." @default.
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- W18684329 date "1985-01-01" @default.
- W18684329 modified "2023-09-27" @default.
- W18684329 title "Chapter 15 Multivariate Analysis of Sensitivity Studies with Atmospheric Gcm'S" @default.
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- W18684329 doi "https://doi.org/10.1016/s0422-9894(08)70711-6" @default.
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