An observational radiative constraint on hydrologic cycle intensification

Anthony M. DeAngelis (), Xin Qu, Mark D. Zelinka and Alex Hall
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Anthony M. DeAngelis: University of California Los Angeles
Xin Qu: University of California Los Angeles
Mark D. Zelinka: Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory
Alex Hall: University of California Los Angeles

Nature, 2015, vol. 528, issue 7581, 249-253

Abstract: The magnitude of global precipitation increase predicted by climate models has a large uncertainty that has been difficult to constrain, but much of the range in predictions is now shown to arise from shortcomings in the modelling of atmospheric absorption of shortwave radiation; if the radiative transfer algorithms controlling the absorption were more accurate, the model spread would narrow and the mean estimate could be about 40% lower.

Date: 2015
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DOI: 10.1038/nature15770

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