{"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}
引用次数: 12
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.