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RAPID: Evaluation of Multidecadal Variability in Surface Solar Radiation

$29,999FY2011GEONSF

University Of California-San Diego Scripps Inst Of Oceanography, La Jolla CA

Investigators

Abstract

This is one of 16 Rapid Response (RAPID) projects funded as the result of a Dear Colleague Letter (NSF 11-006) encouraging diagnostic analyses of climate model simulations prepared for the Intergovernmental Panel on Climate Change Fifth Assessment Report (IPCC AR5). Research conducted in these projects is expected to lead to more detailed model intercomparisons, better understanding of robust model behaviors, and better understanding and quantification of uncertainty in future climate simulations. This project seeks to determine whether the current generation of 20th century climate simulations can reproduce the observed record of surface insolation, particularly the periods of solar "dimming" and "brightening". While past radiative forcing by greenhouse gases is reasonably well known, the record of aerosol forcing - the presumed agent of dimming and brightening - is not. The project is motivated by the fact that the earlier generation of models used for the Fourth Assessment report (AR4) did not successfully reproduce the observed dimming and brightening over Europe and East Asia, two regions where earlier research shows that insolation trends were driven by aerosols rather than changes in clouds. Given that the observed trends were driven by aerosols, the lack of agreement with models suggests that the aerosol histories used in the AR4 simuations were not accurate, hence research in the present project tests for improvements in aerosol-driven insolation variability between models used for AR4 and AR5. The work relies on a novel method for the removal of cloud cover effects in the computation of insolation trends, which is useful since the models do not have the same cloud and weather history as the observations. The broader impact of the project lies in its support of the IPCC AR5, which is intended to provide information on climate change and its consequences to decision makers worldwide. This project seeks in particular to identify and reduce uncertainty in aerosol radiative forcing, which will contribute to reducing uncertainty regarding the sensitivity of earth's climate to greenhouse gas increases.

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