DOI: 10.1002/2016MS000775
Scopus记录号: 2-s2.0-85010774011
论文题名: Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data
作者: Zarzycki C ; M ; , Thatcher D ; R ; , Jablonowski C
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 1 起始页码: 130
结束页码: 148
语种: 英语
英文关键词: Cams
; Error detection
; Hurricanes
; Models
; Phase space methods
; Storms
; Surface discharges
; Thermal conductivity
; Tropics
; Community atmosphere model
; Different resolutions
; Extratropical cyclones
; Extratropical transition
; High resolution
; Observational study
; Tracker performance
; Tropical cyclone
; Climate models
; algorithm
; climate modeling
; detection method
; extratropical cyclone
; spatiotemporal analysis
; spectral resolution
; thermal structure
; tracking
; tropical cyclone
; Atlantic Ocean
; Atlantic Ocean (North)
英文摘要: This paper describes an objective technique for detecting the extratropical transition (ET) of tropical cyclones (TCs) in high-resolution gridded climate data. The algorithm is based on previous observational studies using phase spaces to define the symmetry and vertical thermal structure of cyclones. Storm tracking is automated, allowing for direct analysis of climate data. Tracker performance in the North Atlantic is assessed using 23 years of data from the variable-resolution Community Atmosphere Model (CAM) at two different resolutions (∆X ˜ 55km and 28 km), the Climate Forecast System Reanalysis (CFSR,∆X ˜ 38km), and the ERA-Interim Reanalysis (ERA-I,∆X ˜ 80km). The mean spatiotemporal climatologies and seasonal cycles of objectively detected ET in the observationally constrained CFSR and ERA-I are well matched to previous observational studies, demonstrating the capability of the scheme to adequately find events. High-resolution CAM reproduces TC and ET statistics that are in general agreement with reanalyses. One notable model bias, however, is significantly longer time between ET onset and ET completion in CAM, particularly for TCs that lose symmetry prior to developing a cold-core structure and becoming extratropical cyclones, demonstrating the capability of this method to expose model biases in simulated cyclones beyond the tropical phase. © 2016. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75819
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: National Center for Atmospheric Research, Boulder, CO, United States; Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, United States
Recommended Citation:
Zarzycki C,M,, Thatcher D,et al. Objective tropical cyclone extratropical transition detection in high-resolution reanalysis and climate model data[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(1)