Qin Lianjie, Zhu Laiyin, Liu Baoyin, Li Zixuan, Tian Yugang, Mitchell Gordon, Shen Shifei, Xu Wei, Chen Jianguo
School of Safety Science, Tsinghua University, Beijing, China.
School of Environment, Geography, and Sustainability, Western Michigan University, Kalamazoo, MI, USA.
Nat Commun. 2024 Jun 6;15(1):4824. doi: 10.1038/s41467-024-49115-1.
Precipitation from tropical cyclones (TCs) can cause massive damage from inland floods and is becoming more intense under a warming climate. However, knowledge gaps still exist in changes of spatial patterns in heavy TC precipitation. Here we define a metric, DIST30, as the mean radial distance from centers of clustered heavy rainfall cells (> 30 mm/3 h) to TC center, representing the footprint of heavy TC precipitation. There is significant global increase in DIST30 at a rate of 0.34 km/year. Increases of DIST30 cover 59.87% of total TC impact areas, with growth especially strong in the Western North Pacific, Northern Atlantic, and Southern Pacific. The XGBoost machine learning model showed that monthly DIST30 variability is majorly controlled by TC maximum wind speed, location, sea surface temperature, vertical wind shear, and total water column vapor. TC poleward migration in the Northern Hemisphere contributes substantially to the DIST30 upward trend globally.
热带气旋(TCs)带来的降水会引发内陆洪水,造成巨大破坏,且在气候变暖的情况下这种降水正变得愈发强烈。然而,在强热带气旋降水空间格局的变化方面,仍存在知识空白。在此,我们定义了一个指标DIST30,即从聚集的强降雨单元(> 30毫米/3小时)中心到热带气旋中心的平均径向距离,它代表了强热带气旋降水的影响范围。全球范围内DIST30以每年0.34千米的速度显著增加。DIST30的增加覆盖了热带气旋总影响区域的59.87%,在西北太平洋、北大西洋和南太平洋地区增长尤为显著。XGBoost机器学习模型表明,DIST30的月变化主要受热带气旋最大风速、位置、海表面温度、垂直风切变和总水柱水汽的控制。北半球热带气旋向极地方向的移动在很大程度上导致了全球DIST30的上升趋势。