{"title":"2000-2020 年春季北太平洋海冰浓度的主要模式和特征区","authors":"LI Xu, M. J. C. Crabbe","doi":"10.1142/s2630534823500055","DOIUrl":null,"url":null,"abstract":"Under the influence of the Arctic amplification, sea ice variability in North Pacific is becoming a key indicator of global climate changes. Due to the widespread and complex impacts of North Pacific sea ice variations, the understanding of its dynamic changes, especially its spatial and temporal evolution patterns, has great significance. In this study, we used the rotated empirical orthogonal decomposition to divide the whole North Pacific into six feature zones on the evolution sea ice concentration under the recent global warming and highlighted the complexity and diversity of sea ice variations in the offshore waters.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"56 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LEADING MODES AND FEATURE ZONES OF SEA ICE CONCENTRATION IN NORTH PACIFIC DURING SPRING SEASONS OF 2000–2020\",\"authors\":\"LI Xu, M. J. C. Crabbe\",\"doi\":\"10.1142/s2630534823500055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Under the influence of the Arctic amplification, sea ice variability in North Pacific is becoming a key indicator of global climate changes. Due to the widespread and complex impacts of North Pacific sea ice variations, the understanding of its dynamic changes, especially its spatial and temporal evolution patterns, has great significance. In this study, we used the rotated empirical orthogonal decomposition to divide the whole North Pacific into six feature zones on the evolution sea ice concentration under the recent global warming and highlighted the complexity and diversity of sea ice variations in the offshore waters.\",\"PeriodicalId\":262307,\"journal\":{\"name\":\"International Journal of Big Data Mining for Global Warming\",\"volume\":\"56 11\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Big Data Mining for Global Warming\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s2630534823500055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Big Data Mining for Global Warming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2630534823500055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LEADING MODES AND FEATURE ZONES OF SEA ICE CONCENTRATION IN NORTH PACIFIC DURING SPRING SEASONS OF 2000–2020
Under the influence of the Arctic amplification, sea ice variability in North Pacific is becoming a key indicator of global climate changes. Due to the widespread and complex impacts of North Pacific sea ice variations, the understanding of its dynamic changes, especially its spatial and temporal evolution patterns, has great significance. In this study, we used the rotated empirical orthogonal decomposition to divide the whole North Pacific into six feature zones on the evolution sea ice concentration under the recent global warming and highlighted the complexity and diversity of sea ice variations in the offshore waters.
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