{"title":"时空气候数据分析中的信号处理方法","authors":"B. Reljin, I. Reljin, G. Jovanović","doi":"10.1109/SCS.2003.1226945","DOIUrl":null,"url":null,"abstract":"Climate data fields are characterized by a large amount of information (having, usually, many non-dominant patterns), multivariability, and non-linear nature. Several statistical and signal processing methods are applied in analyzing such of data - some of them are used here in analyzing of climate in the region of Serbia and Montenegro. The teleconnection with the two major generators of the global climate variability: the ENSO (El Nino Southern Oscillation) and the NAO (North Atlantic Oscillation) is approved.","PeriodicalId":375963,"journal":{"name":"Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Signal processing methods in analyzing of spatial-temporal climate data\",\"authors\":\"B. Reljin, I. Reljin, G. Jovanović\",\"doi\":\"10.1109/SCS.2003.1226945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate data fields are characterized by a large amount of information (having, usually, many non-dominant patterns), multivariability, and non-linear nature. Several statistical and signal processing methods are applied in analyzing such of data - some of them are used here in analyzing of climate in the region of Serbia and Montenegro. The teleconnection with the two major generators of the global climate variability: the ENSO (El Nino Southern Oscillation) and the NAO (North Atlantic Oscillation) is approved.\",\"PeriodicalId\":375963,\"journal\":{\"name\":\"Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCS.2003.1226945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCS.2003.1226945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal processing methods in analyzing of spatial-temporal climate data
Climate data fields are characterized by a large amount of information (having, usually, many non-dominant patterns), multivariability, and non-linear nature. Several statistical and signal processing methods are applied in analyzing such of data - some of them are used here in analyzing of climate in the region of Serbia and Montenegro. The teleconnection with the two major generators of the global climate variability: the ENSO (El Nino Southern Oscillation) and the NAO (North Atlantic Oscillation) is approved.
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