Quantifying tropical cyclone intensity change induced by sea surface temperature

被引:9
|
作者
Sun, Jia [1 ,2 ,3 ,4 ]
Wang, Guihua [5 ]
Jin, Shanshan [1 ,2 ,6 ]
Ju, Xia [1 ,2 ,3 ,4 ]
Xiong, Xuejun [1 ,2 ,3 ,4 ]
机构
[1] Minist Nat Resources, Inst Oceanog 1, Qingdao, Peoples R China
[2] Minist Nat Resources, Key Lab Marine Sci & Numer Modeling, Qingdao, Peoples R China
[3] Pilot Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao, Peoples R China
[4] Shandong Key Lab Marine Sci & Numer Modeling, Qingdao, Peoples R China
[5] Fudan Univ, Inst Atmospher Sci, Dept Environm Sci & Engn, Shanghai, Peoples R China
[6] Natl Univ Def Technol, Coll Meteorol & Oceanog, Changsha, Peoples R China
基金
中国国家自然科学基金;
关键词
quantifiable solution; sea surface temperature; tropical cyclone intensity; MAXIMUM INTENSITY; PREDICTION SCHEME; INTENSIFICATION RATE; SATELLITE; EDDIES; DYNAMICS; IMPACTS; RECORD; TRACK; TREND;
D O I
10.1002/joc.7499
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The relationship between sea surface temperature (SST) and tropical cyclone (TC) intensity change exhibits a strong dependence on the current TC intensity. Using western North Pacific TC observations from 1982 to 2018, a threshold SST (TSST) is identified as the SST required to maintain TC intensity. TSST increases with TC intensity, with TCs intensifying and weakening when SST is higher and lower than TSST, respectively. Across the dataset, mean TC intensity change is proportional to the difference between SST and TSST. This study also formulates an equation to quantify TC intensity change using SST and current TC intensity, which replicates 99.46% of the mean observed TC intensity changes. This equation could serve as an alternative to the linear regression-based relationship between SST and TC intensity change that is widely used in statistical-dynamical intensity models, thereby improving intensity forecasts.
引用
收藏
页码:4716 / 4727
页数:12
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