Hsieh Tsung-Lin, Vecchi Gabriel A, Wang Chenggong, Yang Wenchang, Zhang Bosong, Soden Brian J
Program in Atmospheric and Oceanic Sciences, Princeton University, 300 Forrestal Rd, Princeton, NJ 08544, USA.
Department of Geosciences, Princeton University, Guyot Hall, Princeton University, Princeton, NJ 08544, USA.
Sci Adv. 2024 Sep 13;10(37):eadi2779. doi: 10.1126/sciadv.adi2779. Epub 2024 Sep 11.
Projections of future tropical cyclone frequency are uncertain, ranging from a slight increase to a considerable decrease according to climate models. Estimation of how much the Earth's surface temperature warms in response to greenhouse gas increase, quantified by effective climate sensitivity, is also uncertain. These two uncertainties have historically been studied independently as they concern different scales: One quantifies the extreme weather and the other the mean climate. Here, we show that these two uncertainties are not independent and are both influenced by the response of tropical clouds to warming. Across climate models, we show an anticorrelation between shortwave cloud radiative feedback and changes in the frequency of seed vortices, a prevalent type of tropical cyclone precursors. We further show an anticorrelation between effective climate sensitivity and tropical cyclone frequency changes, suggesting that global tropical cyclone frequency tends to decrease more substantially in models with larger temperature increase.
未来热带气旋频率的预测存在不确定性,根据气候模型,其变化范围从略有增加到显著减少。有效气候敏感度量化了地球表面温度对温室气体增加的响应程度,而对这一数值的估计同样存在不确定性。历史上,这两个不确定性一直是独立研究的,因为它们涉及不同的尺度:一个量化极端天气,另一个量化平均气候。在此,我们表明这两个不确定性并非相互独立,且均受热带云对变暖的响应影响。在所有气候模型中,我们发现短波云辐射反馈与种子涡旋(热带气旋常见的一类前身)频率变化之间存在负相关。我们还发现有效气候敏感度与热带气旋频率变化之间存在负相关,这表明在温度升高幅度较大的模型中,全球热带气旋频率往往会更显著地下降。