Proceedings of the Meteorological Society PDF Download

Author: Royal Meteorological Society
Publisher:
ISBN:
Category :
Languages : en
Pages : 72

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Author: Anonymous
Publisher: BoD – Books on Demand
ISBN: 336814653X
Category : Fiction
Languages : en
Pages : 410

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Reprint of the original, first published in 1871.

Author:
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 526

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Author: Royal Meteorological Society (Great Britain)
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 404

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Author: Lewis F. Richardson
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 258

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Author: Peter Ray
Publisher: Springer
ISBN: 1935704206
Category : Science
Languages : en
Pages : 803

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Book Description
This book is a collection of selected lectures presented at the ‘Intensive Course on Mesoscale Meteorology and Forecasting’ in Boulder, USA, in 1984. It includes mesoscale classifications, observing techniques and systems, internally generated circulations, mesoscale convective systems, externally forced circulations, modeling and short-range forecasting techniques. This is a highly illustrated book and comprehensive work, including extensive bibliographic references. It is aimed at graduates in meteorology and for professionals working in the field.

Author: Stéphane Vannitsem
Publisher: Elsevier
ISBN: 012812248X
Category : Science
Languages : en
Pages : 364

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Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. - Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place - Provides real-world examples of methods used to formulate forecasts - Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner

Author: David Atlas
Publisher: Springer
ISBN: 193570415X
Category : Science
Languages : en
Pages : 817

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This fully illustrated volume covers the history of radar meteorology, deals with the issues in the field from both the operational and the scientific viewpoint, and looks ahead to future issues and how they will affect the current atmosphere. With over 200 contributors, the volume is a product of the entire community and represents an unprecedented compendium of knowledge in the field.

Author: David Schultz
Publisher: Springer Science & Business Media
ISBN: 1935704036
Category : Science
Languages : en
Pages : 422

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Mary Grace Soccio. My writing could not please this kindhearted woman, no matter how hard I tried. Although Gifed and Talented seventh-grade math posed no problem for me, the same was not true for Mrs. Soccio’s English class. I was frustrated that my frst assignment only netted me a C. I worked harder, making re- sion afer revision, a concept I had never really put much faith in before. At last, I produced an essay that seemed the apex of what I was capable of wr- ing. Although the topic of that essay is now lost to my memory, the grade I received was not: a B?. “Te best I could do was a B??” Te realization sank in that maybe I was not such a good writer. In those days, my youthful hubris did not understand abouc t apacity bui- ing. In other words, being challenged would result in my intellectual growth— an academic restatement of Nietzsche’s “What does not destroy me, makes me stronger.” Consequently, I asked to be withdrawn from Gifed and Talented English in the eighth grade.

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309380979
Category : Science
Languages : en
Pages : 187

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As climate has warmed over recent years, a new pattern of more frequent and more intense weather events has unfolded across the globe. Climate models simulate such changes in extreme events, and some of the reasons for the changes are well understood. Warming increases the likelihood of extremely hot days and nights, favors increased atmospheric moisture that may result in more frequent heavy rainfall and snowfall, and leads to evaporation that can exacerbate droughts. Even with evidence of these broad trends, scientists cautioned in the past that individual weather events couldn't be attributed to climate change. Now, with advances in understanding the climate science behind extreme events and the science of extreme event attribution, such blanket statements may not be accurate. The relatively young science of extreme event attribution seeks to tease out the influence of human-cause climate change from other factors, such as natural sources of variability like El Niño, as contributors to individual extreme events. Event attribution can answer questions about how much climate change influenced the probability or intensity of a specific type of weather event. As event attribution capabilities improve, they could help inform choices about assessing and managing risk, and in guiding climate adaptation strategies. This report examines the current state of science of extreme weather attribution, and identifies ways to move the science forward to improve attribution capabilities.