Quantifying Climate Feedbacks Using Radiative Kernels
作者： Brian J. Soden , Isaac M. Held , Robert Colman , Karen M. Shell , Jeffrey T. Kiehl
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摘要: Abstract The extent to which the climate will change due an external forcing depends largely on radiative feedbacks, act amplify or damp surface temperature response. There are a variety of issues that complicate analysis feedbacks in global models, resulting some confusion regarding their strengths and distributions. In this paper, authors present method for quantifying based “radiative kernels” describe differential response top-of-atmosphere fluxes incremental changes feedback variables. use kernels enables one decompose into factor transfer algorithm unperturbed state second arises from Such decomposition facilitates understanding spatial characteristics causes intermodel differences. This technique provides si...
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