Retrieval and validation of asymmetric hurricane intensity by CYGNSS

Jie Zhao; Ning Xin; Jianwei Yu; Kele Qin; Xiao Hou; Jianxing Sha; Yanyan Liu

doi:10.1117/12.3024215

21 February 2024 Retrieval and validation of asymmetric hurricane intensity by CYGNSS

Jie Zhao, Ning Xin, Jianwei Yu, Kele Qin, Xiao Hou, Jianxing Sha, Yanyan Liu

Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129880F (2024) https://doi.org/10.1117/12.3024215
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China

Abstract

This paper introduces an innovative asymmetric hurricane intensity retrieval method based on data from the Cyclone Global Navigation Satellite System (CYGNSS). The proposed method demonstrates an advanced approach for characterizing the structural complexities of hurricanes, thereby providing essential support for hurricane monitoring and forecasting. The process begins by leveraging distinctive features within CYGNSS observational data to ascertain the hurricane's maximum wind speed direction and asymmetry. Subsequently, the method employs a central equidistant weighting technique in conjunction with weighted least squares calculations on observational data. This leads to a precise inversion of both the hurricane's maximum wind speed and the maximum wind speed radius across varying wind speed conditions, significantly enhancing the accuracy of the inversion results. In the final phase, this research conducts an in-depth study on eleven hurricanes occurring within the period spanning from 2018 to 2021. A comprehensive analysis of a dataset encompassing forty distinct hurricane events is carried out, and these findings are systematically compared against the International Best Track Archive for Climate Stewardship. The assessment criterion, based on the root mean square error, highlights a notable enhancement in both the fitting accuracy of maximum wind speeds and the precision of maximum wind speed radius inversion. This method, thus, emerges as a pivotal advancement in hurricane science and adds to the nuanced understanding of hurricane structures while contributing valuable insights to the field of hurricane monitoring and prediction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Zhao, Ning Xin, Jianwei Yu, Kele Qin, Xiao Hou, Jianxing Sha, and Yanyan Liu "Retrieval and validation of asymmetric hurricane intensity by CYGNSS", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129880F (21 February 2024); https://doi.org/10.1117/12.3024215

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KEYWORDS

Hurricanes

Wind speed

Data modeling

Environmental monitoring

Satellites

Meteorological satellites

Radium

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