DOI: 10.1007/s11069-021-04813-7
论文题名: Assessing statistical hurricane risks: nonlinear regression and time-window analysis of North Atlantic annual accumulated cyclonic energy rank profile
作者: Roca-Flores E. ; Naumis G.G.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 108, 期: 3 起始页码: 2455
结束页码: 2465
语种: 英语
中文关键词: Accumulated cyclonic energy
; Beta-like Cocho distribution
; North Atlantic
; Ranking
; Time window
; Tropical cyclone
英文摘要: The ranking of events is a powerful tool to evaluate risks of catastrophic events. Here we analyze the rank-statistical profile of the North Atlantic annual accumulated cyclone energy index (ACE), which is an estimation of the cyclonic activity energy. After fitting several functions using nonlinear regression, we found that the ranking of accumulated cyclonic energy can be slightly best described by some functions rather than by the beta-like (Cocho) function. However, this last function has been widely used in dynamical systems as forcing and dissipation effects are provided by the distribution parameters. Therefore, the present work allows to statistically evaluate the risks associated with tropical hurricanes as well as the statistical combined effects of the forcing and dissipation due to the Coriolis force, moisture, sea surface temperature, sea level pressure, shear and upper troposphere convergence. The results suggest that dissipation and forcing dominate the variability of cyclonic activity and such forces are anticorrelated. As a conclusion, it is found that a period of abnormal high risk is occurring since 1995 in accordance with the hurricane thermal engine theory for a sea surface warming due to global warming. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169323
Appears in Collections: 气候变化与战略
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作者单位: Instituto de Ciencias de la Atmósfera, UNAM, CDMX, 01000, Mexico; Departamento de Sistemas Complejos, Instituto de Física, Apdo, UNAM, 20-364, CDMX, 01000, Mexico
Recommended Citation:
Roca-Flores E.,Naumis G.G.. Assessing statistical hurricane risks: nonlinear regression and time-window analysis of North Atlantic annual accumulated cyclonic energy rank profile[J]. Natural Hazards,2021-01-01,108(3)