title: On the mechanisms of the recurvature of super typhoon Megi.
abstract: Tropical cyclones (TC) are one of the most threatening natural hazards to human beings. Although significant improvements have been made in the track prediction of TCs during the past several decades, considerable uncertainties still exist, especially for recurving tracks. In this study, we explore the physical mechanisms that drove the large recurvature of super typhoon Megi through numerical sensitivity experiments using a regional atmospheric model. The results indicate that the cold air intrusion from the northwest to the southeast of China is the main cause of the sharp turning of Megi. This finding suggests that a cold air intrusion could be taken as an indicator for predicting the recurvature of a tropical cyclone in the future.
authors.affiliation: State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
authors.forename: Shiqiu
authors.initials: S
authors.lastname: Peng
authors.affiliation: State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
authors.forename: Yu-Kun
authors.initials: YK
authors.lastname: Qian
authors.affiliation: State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
authors.forename: Zhijuan
authors.initials: Z
authors.lastname: Lai
authors.affiliation: State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
authors.forename: Sai
authors.initials: S
authors.lastname: Hao
authors.affiliation: State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
authors.forename: Shumin
authors.initials: S
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
authors.forename: Hongxiong
authors.initials: H
authors.lastname: Xu
authors.affiliation: State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
authors.forename: Dongxiao
authors.initials: D
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
authors.forename: Xiangde
authors.initials: X
authors.lastname: Xu
authors.affiliation: School of Energy and Environment, City University of Hong Kong, Hong Kong, China.
authors.forename: Johnny C L
authors.initials: JC
authors.lastname: Chan
authors.affiliation: 1] State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China [2] Department of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Zhou
authors.affiliation: 1] State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China [2] Department of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.
authors.forename: Duanling
authors.initials: D
authors.lastname: Liu
mesh_terms: D002681:China; D055867:Cyclonic Storms; D006801:Humans; D008962:Models, Theoretical; D014329:Tropical Climate