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DOI10.1007/s00382-020-05508-8
Evaluation of climate simulations produced with the Brazilian global atmospheric model version 1.2
Coelho C.A.S.; de Souza D.C.; Kubota P.Y.; Costa S.M.S.; Menezes L.; Guimarães B.S.; Figueroa S.N.; Bonatti J.P.; Cavalcanti I.F.A.; Sampaio G.; Klingaman N.P.; Baker J.C.A.
发表日期2020
ISSN0930-7575
英文摘要This paper presents an evaluation of climate simulations produced by the Brazilian Global Atmospheric Model version 1.2 (BAM-1.2) of the Center for Weather Forecast and Climate Studies (CPTEC). The model was run over the 1975–2017 period at two spatial resolutions, corresponding to ~ 180 and ~ 100 km, both with 42 vertical levels, following most of the Atmospheric Model Intercomparison Project (AMIP) protocol. In this protocol, observed sea surface temperatures (SSTs) are used as boundary conditions for the atmospheric model. Four ensemble members were run for each of the two resolutions. A series of diagnostics was computed for assessing the model’s ability to represent the top of the atmosphere (TOA) radiation, atmospheric temperature, circulation and precipitation climatological features. The representation of precipitation interannual variability, El Niño-Southern Oscillation (ENSO) precipitation teleconnections, the Madden and Julian Oscillation (MJO) and daily precipitation characteristics was also assessed. The model at both resolutions reproduced many observed temperature, atmospheric circulation and precipitation climatological features, despite several identified biases. The model atmosphere was found to be more transparent than the observations, leading to misrepresentation of cloud-radiation interactions. The net cloud radiative forcing, which produces a cooling effect on the global mean climate at the TOA, was well represented by the model. This was found to be due to the compensation between both weaker longwave cloud radiative forcing (LWCRF) and shortwave cloud radiative forcing (SWCRF) in the model compared to the observations. The model capability to represent inter-annual precipitation variability at both resolutions was found to be linked to the adequate representation of ENSO teleconnections. However, the model produced weaker than observed convective activity associated with the MJO. Light daily precipitation over the southeast of South America and other climatologically similar regions was diagnosed to be overestimated, and heavy daily precipitation underestimated by the model. Increasing spatial resolution helped to slightly reduce some of the diagnosed biases. The performed evaluation identified model aspects that need to be improved. These include the representation of polar continental surface and sea ice albedo, stratospheric ozone, low marine clouds, and daily precipitation features, which were found to be larger and last longer than the observed features. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词Atmospheric model intercomparison project; Climate simulations assessment; Climatological features in global climate model; El Niño Southern Oscillation teleconnections; Madden and Julian Oscillation
语种英语
来源期刊Climate Dynamics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/145663
作者单位Centro de Previsão de Tempo e Estudos Climáticos (CPTEC), Instituto Nacional de Pesquisas Espaciais (INPE), Rodovia Presidente Dutra, Km 40, SP-RJ, Cachoeira Paulista, SP 12630-000, Brazil; National Centre for Atmospheric Science–Climate and Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading, Berkshire RG6 6BB, United Kingdom; School of Earth and Environment, Institute for Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom
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GB/T 7714
Coelho C.A.S.,de Souza D.C.,Kubota P.Y.,et al. Evaluation of climate simulations produced with the Brazilian global atmospheric model version 1.2[J],2020.
APA Coelho C.A.S..,de Souza D.C..,Kubota P.Y..,Costa S.M.S..,Menezes L..,...&Baker J.C.A..(2020).Evaluation of climate simulations produced with the Brazilian global atmospheric model version 1.2.Climate Dynamics.
MLA Coelho C.A.S.,et al."Evaluation of climate simulations produced with the Brazilian global atmospheric model version 1.2".Climate Dynamics (2020).
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