Cyclonic Wind Speed Retrieval From SWIM Wave Spectrum Based on Machine Learning

被引:0
作者
Shao, Weizeng [1 ,2 ]
Wei, Meng [3 ]
Xu, Ying [2 ,4 ]
Jiang, Xingwei [4 ]
机构
[1] Shanghai Ocean Univ, Coll Oceanog & Ecol Sci, Shanghai 201306, Peoples R China
[2] Minist Nat Resources, Key Lab Space Ocean Remote Sensingand Applicat, Beijing 100081, Peoples R China
[3] Shanghai Ocean Univ, Phys Oceanog, Shanghai 201306, Peoples R China
[4] Minist Nat Resources, Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
关键词
Wind speed; Microwave radiometry; Sea measurements; Machine learning; Geoscience and remote sensing; Oceanography; Microwave theory and techniques; tropical cyclone (TC); wave spectrum; wind speed;
D O I
10.1109/LGRS.2024.3403136
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In our study, machine learning is applied for wind speed retrieval in tropical cyclones (TCs) utilizing the wave spectrum measured by surface wave investigation and monitoring (SWIM) onboard Chinese-French Oceanography SATellite (CFOSAT). These measured waves with a spatial resolution of 18 km are collocated with wind products of 0.25 degrees spatial resolution derived from a Soil Moisture Active Passive (SMAP) microwave radiometer in the western Pacific Ocean from 2019 to 2021. Through our abundant dataset, we find that wind speeds up to 45 m/s are linearly correlated with significant wave height (SWH) with a 0.8 correlation (COR) and cross-zero mean wave period (MWP) with a 0.56 COR. Based on this finding, a machine learning method, denoted as adaptive boosting (AdaBoost), is applied to relate wind speed with two parameters (i.e., SWH and MWP). The wind speeds retrieved from SWIM-measured wave spectra are compared with the wind products obtained from SMAP radiometers in China Seas during the TC season of 2021. We obtain a 2.78-m/s root-mean-square error (RMSE), a 0.85 COR, and a 0.21 scatter index (SI). These results are better than those obtained using parametric formulas among the wind-wave triplets, i.e., an RMSE >4 m/s of wind speed, a COR < 0.7, and an SI >0.25. We conclude that cyclonic winds and waves can be synchronously measured by SWIM without any prior information.
引用
收藏
页码:1 / 5
页数:5
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