Projected Twenty-First-Century Changes in the Length of the Tropical Cyclone Season

被引:27
作者
Dwyer, John G. [1 ]
Camargo, Suzana J. [2 ]
Sobel, Adam H. [1 ,2 ,3 ]
Biasutti, Michela [2 ]
Emanuel, Kerry A. [4 ]
Vecchi, Gabriel A. [5 ,6 ]
Zhao, Ming [5 ]
Tippett, Michael K. [1 ,7 ]
机构
[1] Columbia Univ, Dept Appl Phys & Appl Math, New York, NY USA
[2] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA
[3] Columbia Univ, Dept Earth & Environm Sci, New York, NY USA
[4] MIT, Program Atmospheres Oceans & Climate, Cambridge, MA 02139 USA
[5] Geophys Fluid Dynam Lab, Natl Ocean & Atmospher Adm, Princeton, NJ USA
[6] Princeton Univ, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA
[7] King Abdulaziz Univ, Dept Meteorol, Ctr Excellence Climate Change Res, Jeddah 21413, Saudi Arabia
基金
美国国家科学基金会;
关键词
CMIP5; MODELS; SURFACE-TEMPERATURE; HURRICANE FREQUENCY; CLIMATE MODELS; SIMULATIONS; VARIABILITY; INTENSITY; 21ST-CENTURY; INCREASE; PACIFIC;
D O I
10.1175/JCLI-D-14-00686.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study investigates projected changes in the length of the tropical cyclone season due to greenhouse gas increases. Two sets of simulations are analyzed, both of which capture the relevant features of the observed annual cycle of tropical cyclones in the recent historical record. Both sets use output from the general circulation models (GCMs) of either phase 3 or phase 5 of the CMIP suite (CMIP3 and CMIP5, respectively). In one set, downscaling is performed by randomly seeding incipient vortices into the large-scale atmospheric conditions simulated by each GCM and simulating the vortices' evolution in an axisymmetric dynamical tropical cyclone model; in the other set, the GCMs' sea surface temperature (SST) is used as the boundary condition for a high-resolution global atmospheric model (HiRAM). The downscaling model projects a longer season (in the late twenty-first century compared to the twentieth century) in most basins when using CMIP5 data but a slightly shorter season using CMIP3. HiRAM with either CMIP3 or CMIP5 SST anomalies projects a shorter tropical cyclone season in most basins. Season length is measured by the number of consecutive days that the mean cyclone count is greater than a fixed threshold, but other metrics give consistent results. The projected season length changes are also consistent with the large-scale changes, as measured by a genesis index of tropical cyclones. The season length changes are mostly explained by an idealized year-round multiplicative change in tropical cyclone frequency, but additional changes in the transition months also contribute.
引用
收藏
页码:6181 / 6192
页数:12
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