{"title":"大气环流模式中由卫星风速资料同化产生的全球地面风矢量","authors":"R. Atlas, S. Bloom","doi":"10.1109/OCEANS.1989.592880","DOIUrl":null,"url":null,"abstract":"Methodology for assigning direction to satel l i te surface wind speed data has been developed and tested. Results from these tests show the relative accuracy of each approach and indicate that this methodology should enable the assimilation of currently available SMMR, SSM/I and Geosat wind speed observations.","PeriodicalId":331017,"journal":{"name":"Proceedings OCEANS","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1989-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Global Surface Wind Vectors Resulting From The Assimilation Of Satellite Wind Speed Data In Atmospheric General Circulation Models\",\"authors\":\"R. Atlas, S. Bloom\",\"doi\":\"10.1109/OCEANS.1989.592880\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Methodology for assigning direction to satel l i te surface wind speed data has been developed and tested. Results from these tests show the relative accuracy of each approach and indicate that this methodology should enable the assimilation of currently available SMMR, SSM/I and Geosat wind speed observations.\",\"PeriodicalId\":331017,\"journal\":{\"name\":\"Proceedings OCEANS\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings OCEANS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.1989.592880\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings OCEANS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.1989.592880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Global Surface Wind Vectors Resulting From The Assimilation Of Satellite Wind Speed Data In Atmospheric General Circulation Models
Methodology for assigning direction to satel l i te surface wind speed data has been developed and tested. Results from these tests show the relative accuracy of each approach and indicate that this methodology should enable the assimilation of currently available SMMR, SSM/I and Geosat wind speed observations.
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