Abstract
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 (;100 km of resolution) to simulate realistic systems. Two approaches can nevertheless be considered: 1) perform dedicated highresolution (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.Wefirst compute highresolution 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. Largescale 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.
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CITATION STYLE
Cattiaux, J., Chauvin, F., Bousquet, O., Malardel, S., & Tsai, C. L. (2020). Projected changes in the southern indian ocean cyclone activity assessed from high-resolution experiments and CMIP5 models. Journal of Climate, 33(12), 4975–4991. https://doi.org/10.1175/JCLI-D-19-0591.1
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