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DOI | 10.1175/JCLI-D-18-0599.1 |
Moist Static Energy Budget Analysis of Tropical Cyclone Intensification in High-Resolution Climate Models | |
Wing, Allison A.1; Camargo, Suzana J.2; Sobel, Adam H.3,4; Kim, Daehyun5; Moon, Yumin5; Murakami, Hiroyuki6,7; Reed, Kevin A.8; Vecchi, Gabriel A.9,10; Wehner, Michael F.11; Zarzycki, Colin12; Zhao, Ming6 | |
2019-09-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:18页码:6071-6095 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Tropical cyclone intensification processes are explored in six high-resolution climate models. The analysis framework employs process-oriented diagnostics that focus on how convection, moisture, clouds, and related processes are coupled. These diagnostics include budgets of column moist static energy and the spatial variance of column moist static energy, where the column integral is performed between fixed pressure levels. The latter allows for the quantification of the different feedback processes responsible for the amplification of moist static energy anomalies associated with the organization of convection and cyclone spinup, including surface flux feedbacks and cloud-radiative feedbacks. Tropical cyclones (TCs) are tracked in the climate model simulations and the analysis is applied along the individual tracks and composited over many TCs. Two methods of compositing are employed: a composite over all TC snapshots in a given intensity range, and a composite over all TC snapshots at the same stage in the TC life cycle (same time relative to the time of lifetime maximum intensity for each storm). The radiative feedback contributes to TC development in all models, especially in storms of weaker intensity or earlier stages of development. Notably, the surface flux feedback is stronger in models that simulate more intense TCs. This indicates that the representation of the interaction between spatially varying surface fluxes and the developing TC is responsible for at least part of the intermodel spread in TC simulation. |
英文关键词 | Hurricanes typhoons Tropical cyclones Climate models Diagnostics General circulation models Model comparison |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000481822600006 |
WOS关键词 | DIURNAL RADIATION CYCLE ; SEA-SURFACE TEMPERATURE ; INTERANNUAL VARIABILITY ; CONVECTIVE AGGREGATION ; CUMULUS CONVECTION ; SELF-AGGREGATION ; DYNAMICAL CORE ; NORTH-ATLANTIC ; SIMULATION ; PARAMETERIZATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/186784 |
专题 | 气候变化 |
作者单位 | 1.Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA; 2.Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA; 3.Columbia Univ, Dept Appl Phys & Appl Math, New York, NY USA; 4.Columbia Univ, Lamont Doherty Earth Observ, New York, NY USA; 5.Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA; 6.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA; 7.Princeton Univ, Princeton, NJ 08544 USA; 8.SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA; 9.Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA; 10.Princeton Univ, Princeton Environm Inst, Princeton, NJ 08544 USA; 11.Lawrence Berkeley Natl Lab, Berkeley, CA USA; 12.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA |
推荐引用方式 GB/T 7714 | Wing, Allison A.,Camargo, Suzana J.,Sobel, Adam H.,et al. Moist Static Energy Budget Analysis of Tropical Cyclone Intensification in High-Resolution Climate Models[J]. JOURNAL OF CLIMATE,2019,32(18):6071-6095. |
APA | Wing, Allison A..,Camargo, Suzana J..,Sobel, Adam H..,Kim, Daehyun.,Moon, Yumin.,...&Zhao, Ming.(2019).Moist Static Energy Budget Analysis of Tropical Cyclone Intensification in High-Resolution Climate Models.JOURNAL OF CLIMATE,32(18),6071-6095. |
MLA | Wing, Allison A.,et al."Moist Static Energy Budget Analysis of Tropical Cyclone Intensification in High-Resolution Climate Models".JOURNAL OF CLIMATE 32.18(2019):6071-6095. |
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