Art

J-GLOBAL ID：202002215324522702   Reference number：20A0584675

Quantifying the potential for improved management of weather risk using sub-seasonal forecasting: The case of UK telecommunications infrastructure

季節予報を用いた気象リスクの改善された管理の可能性の定量化:英国電気通信インフラストラクチャーの事例【JST・京大機械翻訳】

Author (7)： Brayshaw David J. (Department of Meteorology, University of Reading, Reading, UK) ,  Brayshaw David J. (National Centre for Atmospheric Science, University of Reading, Reading, UK) ,  Halford Alan (Department of Meteorology, University of Reading, Reading, UK) ,  Halford Alan (Technologies for Sustainable Built Environment Centre for Doctoral Training, University of Reading, Reading, UK) ,  Smith Stefan (Technologies for Sustainable Built Environment Centre for Doctoral Training, University of Reading, Reading, UK) ,  Smith Stefan (School of the Built Environment, University of Reading, Reading, UK) ,  Jensen Kjeld (Applied Research, British Telecommunications plc, London, UK)
Material： Meteorological Applications  (Meteorol Appl)
Volume： 27  Issue： 1  Page： e1849  Publication year： 2020 
JST Material Number： W2130A  ISSN： 1350-4827  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Reliable and affordable teleco...

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Thesaurus term： failure rate ,  decision making ,  lead ,  failure ,  *infrastructure ,  weather forecast ,  *telecommunication ,  scheduling ,  winter ,  climatology ,  robustness ,  risk management ,  atmospheric circulation ,  lead time ,  *meteorological phenomenon

Author keywords (1)： extended range forecast value skill sub-seasonal telecommunications

JST classification (1)： Meteorology in general  (DC05010D)

Terms in the title (8)： 季節予報 ,  気象 ,  リスク ,  可能性 ,  定量化 ,  英国 ,  電気通信 ,  インフラストラクチャー