{"product_id":"statistical-postprocessing-of-ensemble-forecasts-paperback-9780128123720","title":"Statistical Postprocessing of Ensemble Forecasts (Paperback) 9780128123720","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistical Postprocessing of Ensemble Forecasts\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eBrings together contributed chapters by international subject-matter experts, describing the current state-of -the-art in statistical postprocessing of ensemble forecasts\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eStéphane Vannitsem (Edited by), Daniel S. Wilks (Edited by), Jakob Messner (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128123720, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 22 May 2018\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e362 pages\u003cbr\u003e23.4 x 19 x 2.3 cm, 0.86 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eStatistical Postprocessing of Ensemble Forecasts\u003c\/i\u003e 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.\u003c\/p\u003e  \u003cp\u003eAfter 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.\u003c\/p\u003e  \u003cp\u003eEdited 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. \u003ci\u003eStatistical Postprocessing of Ensemble Forecasts\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Uncertain Forecasts From Deterministic Dynamics 2. Ensemble Forecasting and the Need for Calibration 3. Univariate Ensemble Postprocessing 4. Ensemble Postprocessing Methods Incorporating Dependence Structures 5. Postprocessing for Extreme Events 6. Verification: Assessment of Calibration and Accuracy 7. Practical Aspects of Statistical Postprocessing 8. Applications of Postprocessing for Hydrological Forecasts 9. Application of Postprocessing for Renewable Energy 10. Postprocessing of Long-Range Forecasts 11. Ensemble Postprocessing With R\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Atmospheric physics [\u003ca title=\"See our other books on Atmospheric physics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Atmospheric%20physics%20%5BPHVJ%5D%22\"\u003ePHVJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Elsevier","offers":[{"title":"Default Title","offer_id":46648661704984,"sku":"9780128123720","price":88.45,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128123720.jpg?v=1694093156","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/statistical-postprocessing-of-ensemble-forecasts-paperback-9780128123720","provider":"Freshly Printed Books","version":"1.0","type":"link"}