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Weitersagen:



Autor(en): 
  • Ocean Studies Board
  • Board on Atmospheric Sciences & Climate
  • Committee On Developing A U.S. Research Agenda To
  • Next Generation Earth System Prediction: Strategies for Sub-Seasonal to Seasonal Forecasts 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2016  
    Genre:  Naturwissensch., Medizin, Technik 
    ISBN:  9780309388801 
    EAN-Code: 
    9780309388801 
    Verlag:  Durnell 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 256 mm / B 178 mm / D 24 mm 
    Gewicht:  748 gr 
    Seiten:  350 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    "As the nations economic activities, security concerns, and stewardship of natural resources become increasingly complex and globally interrelated, they become ever more sensitive to adverse impacts from weather, climate, and other natural phenomena. For several decades, forecasts with lead times of a few days for weather and other environmental phenomena have yielded valuable information to improve decision-making across all sectors of society. Developing the capability to forecast environmental conditions and disruptive events several weeks and months in advance could dramatically increase the value and benefit of environmental predictions, saving lives, protecting property, increasing economic vitality, protecting the environment, and informing policy choices. Over the past decade, the ability to forecast weather and climate conditions on subseasonal to seasonal (S2S) timescales, i.e., two to fifty-two weeks in advance, has improved substantially. Although significant progress has been made, much work remains to make S2S predictions skillful enough, as well as optimally tailored and communicated, to enable widespread use. Next Generation Earth System Predictions presents a ten-year U.S. research agenda that increases the nations S2S research and modeling capability, advances S2S forecasting, and aids in decision making at medium and extended lead times"--

      



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