The Feasibility of an Ensemble Low Cloud Prediction System PDF Download
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Author: C. Bryden
Publisher:
ISBN:
Category : Boundary layer
Languages : en
Pages : 13
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Book Description
Author: C. Bryden
Publisher:
ISBN:
Category : Boundary layer
Languages : en
Pages : 13
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Book Description
Author: Ismail Gultepe
Publisher: Springer Science & Business Media
ISBN: 3764384190
Category : Science
Languages : en
Pages : 307
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Book Description
This topical volume of the Journal of Pure and Applied Geophysics utilizes new information not previously accessible for fog related research. It focuses on surface and remote sensing observations of fog, various numerical model applications using new parameterizations, fog climatology, and new statistical methods. The results presented in this special issue come from research efforts in North America and Europe.
Author:
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 722
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Book Description
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309388805
Category : Science
Languages : en
Pages : 351
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Book Description
As the nation's 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 nation's S2S research and modeling capability, advances S2S forecasting, and aids in decision making at medium and extended lead times.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 836
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Book Description
Author:
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 1452
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 924
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Book Description
Author: Darko Koračin
Publisher: Springer
ISBN: 3319452290
Category : Science
Languages : en
Pages : 540
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Book Description
This volume presents the history of marine fog research and applications, and discusses the physical processes leading to fog's formation, evolution, and dissipation. A special emphasis is on the challenges and advancements of fog observation and modeling as well as on efforts toward operational fog forecasting and linkages and feedbacks between marine fog and the environment.
Author:
Publisher:
ISBN:
Category : Geography
Languages : en
Pages : 634
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Book Description
Author: Robert Sharman
Publisher: Springer
ISBN: 331923630X
Category : Technology & Engineering
Languages : en
Pages : 529
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Book Description
Anyone who has experienced turbulence in flight knows that it is usually not pleasant, and may wonder why this is so difficult to avoid. The book includes papers by various aviation turbulence researchers and provides background into the nature and causes of atmospheric turbulence that affect aircraft motion, and contains surveys of the latest techniques for remote and in situ sensing and forecasting of the turbulence phenomenon. It provides updates on the state-of-the-art research since earlier studies in the 1960s on clear-air turbulence, explains recent new understanding into turbulence generation by thunderstorms, and summarizes future challenges in turbulence prediction and avoidance.
