A side-by-side test of statistical methods for the pattern effect finds broad agreement on global radiative responses to internal temperature variability but large disagreements on regional feedbacks and on responses to CO2-forced temperature patterns.
Monogr.,59 (AMSMOGRAPHS-D-19-0001.1), 14.1–14.101
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Quantifying the radiative response to surface temperature variability: A critical comparison of current methods
A side-by-side test of statistical methods for the pattern effect finds broad agreement on global radiative responses to internal temperature variability but large disagreements on regional feedbacks and on responses to CO2-forced temperature patterns.