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Extratropical–Tropical Interaction Model Intercomparison Project (Etin-Mip): Protocol and Initial Results
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2019
Source: Bulletin of the American Meteorological Society, 100(12), 2589-2606, 2019
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Journal Title:Bulletin of the American Meteorological Society
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Personal Author:Kang, Sarah M. ; Hawcroft, Matt ; Xiang, Baoqiang ; Hwang, Yen-Ting ; Cazes, Gabriel ; Codron, Francis ; Crueger, Traute ; Deser, Clara ; Hodnebrog, Øivind ; Kim, Hanjun ; Kim, Jiyeong ; Kosaka, Yu ; Losada, Teresa ; Mechoso, Carlos R. ; Myhre, Gunnar ; Seland, Øyvind ; Stevens, Bjorn ; Watanabe, Masahiro ; Yu, Sungduk Less -
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NOAA Program & Office:
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Description:This article introduces the Extratropical–Tropical Interaction Model Intercomparison Project (ETIN-MIP), where a set of fully coupled model experiments are designed to examine the sources of longstanding tropical precipitation biases in climate models. In particular, we reduce insolation over three targeted latitudinal bands of persistent model biases: the southern extratropics, the southern tropics, and the northern extratropics. To address the effect of regional energy bias corrections on the mean distribution of tropical precipitation, such as the double intertropical convergence zone problem, we evaluate the quasi-equilibrium response of the climate system corresponding to a 50-yr period after the 100 years of prescribed energy perturbation. Initial results show that, despite a large intermodel spread in each perturbation experiment due to differences in ocean heat uptake response and climate feedbacks across models, the southern tropics is most efficient at driving a meridional shift of tropical precipitation. In contrast, the extratropical energy perturbations are effectively damped by anomalous heat uptake over the subpolar oceans, thereby inducing a smaller meridional shift of tropical precipitation compared with the tropical energy perturbations. The ETIN-MIP experiments allow us to investigate the global implications of regional energy bias corrections, providing a route to guide the practice of model development, with implications for understanding dynamical responses to anthropogenic climate change and geoengineering.
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Source:Bulletin of the American Meteorological Society, 100(12), 2589-2606, 2019
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