Improvement of wind field hindcasts for tropical cyclones

• Published in: Water Science and Engineering Vol. 9; no. 1; pp. 58 - 66
• Main Authors: Pan, Yi, Chen, Yong-ping, Li, Jiang-xia, Ding, Xue-lin
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2016; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China; Elsevier
• Subjects: CCMP; CCMP reanalysis data; hurricanes; Parametric cyclone wind model; Tropical cyclone; Wind field hindcasts; wind speed; 再分析资料; 多平台; 改性方法; 热带气旋; 预报; 风场模型; 龙卷风; Wind field hindcasts; CCMP reanalysis data; Tropical cyclone; Parametric cyclone wind model
• ISSN: 1674-2370; 2405-8106; 2405-8106
• DOI: 10.1016/j.wse.2016.02.002

This paper presents a study on the improvement of wind field hindcasts for two typical tropical cyclones, i.e., Fanapi and Meranti, which occurred in 2010. The performance of the three existing models for the hindcasting of cyclone wind fields is first examined, and then two modification methods are proposed to improve the hindcasted results. The first one is the superposition method, which superposes the wind field calculated from the parametric cyclone model on that obtained from the cross-calibrated multi-platform （CCMP） reanalysis data. The radius used for the superposition is based on an analysis of the minimum difference between the two wind fields. The other one is the direct modification method, which directly modifies the CCMP reanalysis data according to the ratio of the measured maximum wind speed to the reanalyzed value as well as the distance from the cyclone center. Using these two methods, the problem of underestimation of strong winds in reanalysis data can be overcome. Both methods show considerable improvements in the hindcasting of tropical cyclone wind fields, compared with the cyclone wind model and the reanalysis data.