M. Klafft, D. Knorr, U. Meissen, M. Spatzierer, A. Voisard
{"title":"SITUMET: Situation-Based Meteorological Services","authors":"M. Klafft, D. Knorr, U. Meissen, M. Spatzierer, A. Voisard","doi":"10.1109/NGMAST.2008.73","DOIUrl":null,"url":null,"abstract":"Recent improvements in the field of meteorological forecasting now allow for a fine-granular and localized prediction of meteorological parameters, thus opening up new opportunities for situation-based and mobile meteorological services. In this paper, techniques for the fine-granular prediction of local weather conditions are presented, together with an overview of already existing and prospective situation-based meteorological services. Current challenges in service generation are discussed and a platform is proposed that supports flexible and adaptive composition of situation-based meteorological services.","PeriodicalId":247507,"journal":{"name":"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGMAST.2008.73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Recent improvements in the field of meteorological forecasting now allow for a fine-granular and localized prediction of meteorological parameters, thus opening up new opportunities for situation-based and mobile meteorological services. In this paper, techniques for the fine-granular prediction of local weather conditions are presented, together with an overview of already existing and prospective situation-based meteorological services. Current challenges in service generation are discussed and a platform is proposed that supports flexible and adaptive composition of situation-based meteorological services.
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