Projected Changes in the Southern Indian Ocean Cyclone Activity Assessed from High-Resolution Experiments and CMIP5 Models

被引:17
|
作者
Cattiaux, Julien [1 ]
Chauvin, Fabrice [1 ]
Bousquet, Olivier [2 ]
Malardel, Sylvie [2 ]
Tsai, Chia-Lun [2 ]
机构
[1] Univ Toulouse, Ctr Natl Rech Meteorol, CNRS, Meteo France, Toulouse, France
[2] Univ Reunion, Lab Atmosphere & Cyclones, CNRS, Meteo France, St Denis, France
关键词
TROPICAL CYCLONES; CONFIGURATION; PERFORMANCE; FREQUENCY; INCREASE; INDEXES; IMPACT; GCM;
D O I
10.1175/JCLI-D-19-0591.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The evolution of tropical cyclone activity under climate change remains a crucial scientific issue. Physical theory of cyclogenesis is limited, observational datasets suffer from heterogeneities in space and time, and state-of-the-art climate models used for future projections are still too coarse (similar to 100 km of resolution) to simulate realistic systems. Two approaches can nevertheless be considered: 1) perform dedicated high-resolution (typically <50 km) experiments in which tropical cyclones can be tracked and 2) assess cyclone activity from existing low-resolution multimodel climate projections using large-scale indices as proxies. Here we explore these two approaches with a particular focus on the southern Indian Ocean. We first compute high-resolution experiments using the rotated-stretched configuration of our climate model (CNRM-CM6-1), which is able to simulate realistic tropical cyclones. In a 2-K warmer world, the model projects a 20% decrease in the frequency of tropical cyclones, together with an increase in their maximum lifetime intensity, a slight poleward shift of their trajectories, and a substantial delay (about 1 month) in the cyclone season onset. Large-scale indices applied to these high-resolution experiments fail to capture the overall decrease in cyclone frequency, but are able to partially represent projected changes in the spatiotemporal distribution of cyclone activity. Last, we apply large-scale indices to multimodel CMIP5 projections and find that the seasonal redistribution of cyclone activity is consistent across models.
引用
收藏
页码:4975 / 4991
页数:17
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