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DOI | 10.1175/JCLI-D-19-0500.1 |
Characteristics of model tropical cyclone climatology and the large-scale environment | |
Camargo S.J.; Giulivi C.F.; Sobel A.H.; Wing A.A.; Kim D.; Moon Y.; Strong J.D.O.; Del Genio A.D.; Kelley M.; Murakami H.; Reed K.A.; Scoccimarro E.; Vecchi G.A.; Wehner M.F.; Zarzycki C.; Zhao M. | |
发表日期 | 2020 |
ISSN | 0894-8755 |
起始页码 | 4463 |
结束页码 | 4487 |
卷号 | 33期号:11 |
英文摘要 | Here we explore the relationship between the global climatological characteristics of tropical cyclones (TCs) in climate models and the modeled large-scale environment across a large number of models. We consider the climatology of TCs in 30 climatemodels with awide range of horizontal resolutions. We examine if there is a systematic relationship between the climatological diagnostics for the TC activity [number of tropical cyclones (NTC) and accumulated cyclone energy (ACE)] by hemisphere in the models and the environmental fields usually associated with TC activity, when examined across a large number ofmodels. For low-resolution models, there is no association between a conducive environment and TC activity, when integrated over space (tropical hemisphere) and time (all years of the simulation). As the model resolution increases, for a couple of variables, in particular verticalwind shear, there is a statistically significant relationship in between the models' TC characteristics and the environmental characteristics, but in most cases the relationship is either nonexistent or the opposite of what is expected based on observations. It is important to stress that these results do not imply that there is no relationship between individual models' environmental fields and their TC activity by basin with respect to intraseasonal or interannual variability or due to climate change. However, it is clear that when examined across many models, the models'mean state does not have a consistent relationship with the models' mean TC activity. Therefore, other processes associated with the model physics, dynamical core, and resolution determine the climatological TC activity in climate models. © 2020 American Meteorological Society. |
英文关键词 | Climate change; Hurricanes; Storms; Tropics; Accumulated cyclone energies; Environmental characteristic; Environmental fields; Horizontal resolution; Individual models; Interannual variability; Model resolution; Tropical cyclone; Climate models; annual variation; atmospheric dynamics; climate modeling; climatology; cyclogenesis; resolution; tropical cyclone; tropical meteorology |
语种 | 英语 |
来源期刊 | Journal of Climate
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/171540 |
作者单位 | Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, United States; Department of Applied Physics and Applied Mathematics, Department of Earth and Environmental Sciences, Columbia University, New York, NY, United States; Department of Earth, Ocean and Atmospheric Science, Florida State University, Talahassee, FL, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; NASA Goddard Institute for Space Studies, New York, NY, United States; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States; Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy; Princeton University, Princeton, NJ, United States; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Pennsylvania State University, University Park, PA, United States |
推荐引用方式 GB/T 7714 | Camargo S.J.,Giulivi C.F.,Sobel A.H.,et al. Characteristics of model tropical cyclone climatology and the large-scale environment[J],2020,33(11). |
APA | Camargo S.J..,Giulivi C.F..,Sobel A.H..,Wing A.A..,Kim D..,...&Zhao M..(2020).Characteristics of model tropical cyclone climatology and the large-scale environment.Journal of Climate,33(11). |
MLA | Camargo S.J.,et al."Characteristics of model tropical cyclone climatology and the large-scale environment".Journal of Climate 33.11(2020). |
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