机构:
Univ Lisbon, Fac Ciencias, Inst Dom Luiz IDL, Lisbon, Portugal
Univ Fed Rio De Janeiro, Dept Meteorol, Rio De Janeiro, BrazilUniv Vigo, Ctr Invest Marina, Environm Phys Lab EPhysLab, Campus Lagoas S-N, Orense, Spain
Tropical cyclones;
Rapid intensi fi cation;
Moisture sources;
Precipitation;
Lagrangian moisture tracking;
GLOBAL WATER CYCLE;
PART II;
INTENSITY CHANGE;
NONDEVELOPING DISTURBANCES;
LAGRANGIAN ANALYSIS;
ATMOSPHERIC BRANCH;
RESIDENCE TIME;
VARIABILITY;
PERFORMANCE;
PREDICTION;
D O I:
10.1016/j.tcrr.2024.05.001
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
In this study, we identified the moisture sources for the precipitation associated with tropical cyclones (TCs) during the rapid intensification (RI) process from 1980 to 2018 by applying a Lagrangian moisture source diagnostic method. We detected sixteen regions on a global scale for RI events distributed as follows: four in the North Atlantic (NATL), two in the Central and East Pacific Ocean (NEPAC), the North Indian Ocean (NIO) and South Indian Ocean (SIO), and three in the South Pacific Ocean (SPO) and the Western North Pacific Ocean (WNP). The moisture uptake (MU) mostly was from the regions where TCs underwent RI. The Western NATL, tropical NATL, Caribbean Sea, the Gulf of Mexico and the Central America and Mexico landmass supported -85.4% of the precipitating moisture in the NATL, while the latter source and the eastern North Pacific Ocean provided the higher amount of moisture in NEPAC (-84.3%). The Arabian Sea, the Bay of Bengal and the Indian Peninsula were the major moisture sources in NIO, contributing approximately 81.3%. The eastern and western parts of the Indian Ocean supplied most of the atmospheric humidity in SIO (-83.8%). The combined contributions (-87.9%) from the western and central SPO and the Coral Sea were notably higher in SPO. Meanwhile, TCs in the WNP basin mostly received moisture from the western North Pacific Ocean, the Philippine Sea and the China Sea, accounting for 80.1%. The remaining moisture support in each basin came from the summed contributions of the remote sources. Overall, RI TCs gained more moisture up to 2500 km from the cyclone centre than those slow intensification (SI) and the total MU was approximately three times higher during RI than SI. Finally, the patterns of the MU differences respond to the typical pathways of moisture transport in each basin. (c) 2024 The Shanghai Typhoon Institute of China Meteorological Administration. Publishing services by Elsevier B.V. on behalf of KeAi Communication Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
机构:
Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing, Peoples R China
Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R ChinaTsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing, Peoples R China
Li, Yuanlong
Wang, Yuqing
论文数: 0引用数: 0
h-index: 0
机构:
Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Dept Atmospher Sci, Honolulu, HI 96822 USA
China Meteorol Adm, Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaTsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing, Peoples R China
机构:Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA
Tao, Dandan
Zhang, Fuqing
论文数: 0引用数: 0
h-index: 0
机构:
Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USAPenn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Song, Jinjie
Duan, Yihong
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Duan, Yihong
Klotzbach, Philip J.
论文数: 0引用数: 0
h-index: 0
机构:
Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USAChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
机构:
Chinese Acad Sci, Inst Atmospher Phys, Key Lab Cloud Precipitat Phys & Severe Storms, Beijing, Peoples R China
Univ Chinese Acad Sci, Beijing, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Key Lab Cloud Precipitat Phys & Severe Storms, Beijing, Peoples R China
Shi, Donglei
Chen, Guanghua
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Atmospher Phys, Key Lab Cloud Precipitat Phys & Severe Storms, Beijing, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Key Lab Cloud Precipitat Phys & Severe Storms, Beijing, Peoples R China
机构:
Chinese Acad Meteorol Sci, Nanjing Joint Inst Atmospher Sci, Nanjing, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, Nanjing Joint Inst Atmospher Sci, Nanjing, Peoples R China
Song, Jinjie
Klotzbach, Philip J.
论文数: 0引用数: 0
h-index: 0
机构:
Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO USAChinese Acad Meteorol Sci, Nanjing Joint Inst Atmospher Sci, Nanjing, Peoples R China
Klotzbach, Philip J.
Dai, Yifei
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Meteorol Sci, Nanjing Joint Inst Atmospher Sci, Nanjing, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, Nanjing Joint Inst Atmospher Sci, Nanjing, Peoples R China
Dai, Yifei
Duan, Yihong
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, Nanjing Joint Inst Atmospher Sci, Nanjing, Peoples R China