{"title":"台风期间HFSWR海洋-电离层系统重力波激发扰动特征","authors":"Rong Wang, Changjun Yu, Zhe Lyu, Xuguang Yang","doi":"10.1029/2024JA033256","DOIUrl":null,"url":null,"abstract":"<p>In this study, the intricate gravity wave-excited disturbances in the ocean-ionosphere system is investigated using the high-frequency surface wave radar (HFSWR) data measured during typhoons. To address the nonstationarity of HFSWR echoes during typhoons, a multilayer denoising preprocessing model based on local mean decomposition is introduced. For qualitative analysis of the disturbance relationship between the ocean and ionosphere at smaller time scales, a fuzzy equivalence coefficient based on HFSWR chaotic attractors is designed, integrating fuzzy set theory. To maximize the presentation of the disturbance characteristics excited by gravity waves, an adaptive optimization method based on the fuzzy equivalence coefficients of HFSWR chaotic attractors is constructed. In summary, an adaptive fuzzy evaluation method based on HFSWR chaotic attractors to characterize the nonlinear evolution process of HFSWR oceanic-ionospheric echoes excited by gravity waves is proposed in this paper. Disturbance features in HFSWR oceanic echoes that exhibit the same evolution trends as traveling ionospheric disturbances (TIDs) excited by gravity waves are successfully identified in this study, thus confirming the presence of gravity wave-excited disturbances in HFSWR ocean-ionosphere system. Experimental studies also demonstrate the validity of the proposed adaptive fuzzy evaluation approach.</p>","PeriodicalId":15894,"journal":{"name":"Journal of Geophysical Research: Space Physics","volume":"130 7","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characteristics of Gravity Wave-Excited Disturbances Observed in HFSWR Ocean-Ionosphere System During Typhoons\",\"authors\":\"Rong Wang, Changjun Yu, Zhe Lyu, Xuguang Yang\",\"doi\":\"10.1029/2024JA033256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this study, the intricate gravity wave-excited disturbances in the ocean-ionosphere system is investigated using the high-frequency surface wave radar (HFSWR) data measured during typhoons. To address the nonstationarity of HFSWR echoes during typhoons, a multilayer denoising preprocessing model based on local mean decomposition is introduced. For qualitative analysis of the disturbance relationship between the ocean and ionosphere at smaller time scales, a fuzzy equivalence coefficient based on HFSWR chaotic attractors is designed, integrating fuzzy set theory. To maximize the presentation of the disturbance characteristics excited by gravity waves, an adaptive optimization method based on the fuzzy equivalence coefficients of HFSWR chaotic attractors is constructed. In summary, an adaptive fuzzy evaluation method based on HFSWR chaotic attractors to characterize the nonlinear evolution process of HFSWR oceanic-ionospheric echoes excited by gravity waves is proposed in this paper. Disturbance features in HFSWR oceanic echoes that exhibit the same evolution trends as traveling ionospheric disturbances (TIDs) excited by gravity waves are successfully identified in this study, thus confirming the presence of gravity wave-excited disturbances in HFSWR ocean-ionosphere system. Experimental studies also demonstrate the validity of the proposed adaptive fuzzy evaluation approach.</p>\",\"PeriodicalId\":15894,\"journal\":{\"name\":\"Journal of Geophysical Research: Space Physics\",\"volume\":\"130 7\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysical Research: Space Physics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2024JA033256\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ASTRONOMY & ASTROPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Space Physics","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024JA033256","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
Characteristics of Gravity Wave-Excited Disturbances Observed in HFSWR Ocean-Ionosphere System During Typhoons
In this study, the intricate gravity wave-excited disturbances in the ocean-ionosphere system is investigated using the high-frequency surface wave radar (HFSWR) data measured during typhoons. To address the nonstationarity of HFSWR echoes during typhoons, a multilayer denoising preprocessing model based on local mean decomposition is introduced. For qualitative analysis of the disturbance relationship between the ocean and ionosphere at smaller time scales, a fuzzy equivalence coefficient based on HFSWR chaotic attractors is designed, integrating fuzzy set theory. To maximize the presentation of the disturbance characteristics excited by gravity waves, an adaptive optimization method based on the fuzzy equivalence coefficients of HFSWR chaotic attractors is constructed. In summary, an adaptive fuzzy evaluation method based on HFSWR chaotic attractors to characterize the nonlinear evolution process of HFSWR oceanic-ionospheric echoes excited by gravity waves is proposed in this paper. Disturbance features in HFSWR oceanic echoes that exhibit the same evolution trends as traveling ionospheric disturbances (TIDs) excited by gravity waves are successfully identified in this study, thus confirming the presence of gravity wave-excited disturbances in HFSWR ocean-ionosphere system. Experimental studies also demonstrate the validity of the proposed adaptive fuzzy evaluation approach.