Development of mean wind retrieval methodology for the Generalized Velocity Track Display
Lee, T., Huang, S., Lee, W., Jou, B. J., Tsai, C., et al. (2025). Development of mean wind retrieval methodology for the Generalized Velocity Track Display. Terrestrial, Atmospheric and Oceanic Sciences, doi:https://doi.org/10.1007/s44195-025-00091-z
| Title | Development of mean wind retrieval methodology for the Generalized Velocity Track Display |
|---|---|
| Genre | Article |
| Author(s) | T. Lee, S. Huang, Wen-chau Lee, B. J. Jou, C. Tsai, Y. Yu, Y. Kao, Ting-Yu Cha |
| Abstract | Since 1990s, the Ground-Based Velocity Track Display (GBVTD) – family of techniques, including the Generalized Velocity Track Display (GVTD), have been used to retrieve the kinematic structure of Tropical cyclones (TCs) using data from a single Doppler radar. This study builds on the GVTD formulation and proposes a single Doppler TC inner core mean wind retrieval technique, called GVTD-Mean Wind (GVTD-MW), that can improve the retrieved TC inner core structures and the understanding of TC intensity change. Results from analytical wind field experiments demonstrate that GVTD-MW can estimate mean wind speed and direction, with errors below 10% and 6°, respectively. GVTD-MW estimated mean winds are not sensitive to magnitude and direction of the along-beam mean wind component, vortex size, and uncertainty of the TC center. GVTD-MW was applied to Typhoon Nock-Ten (2004) and Typhoon Koinu (2023). For Nock-Ten, the significant cross-beam mean wind component enabled GVTD-MW to reduce the retrieval errors compared to GVTD. Consequently, the root mean square error (RMSE) for the entire volume decreased from 8.8 m s −1 (GVTD) to 7.6 m s −1 (GVTD-MW) when compared with radar observations. For Koinu, where the cross-beam mean winds were much smaller than those in Nock-Ten, GVTD-MW also improved the accuracy of storm structure retrieval. These findings demonstrate the characteristics and impacts of GVTD-MW in improving the TC structures from single-Doppler radar observations. |
| Publication Title | Terrestrial, Atmospheric and Oceanic Sciences |
| Publication Date | Apr 1, 2025 |
| Publisher's Version of Record | https://doi.org/10.1007/s44195-025-00091-z |
| OpenSky Citable URL | https://n2t.net/ark:/85065/d7765kr5 |
| OpenSky Listing | View on OpenSky |
| EOL Affiliations | RSF |