Statistical Postprocessing of Ensemble Forecasts
()
About this ebook
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
Related to Statistical Postprocessing of Ensemble Forecasts
Related ebooks
Statistical Methods in the Atmospheric Sciences Rating: 5 out of 5 stars5/5Uncertainties in Numerical Weather Prediction Rating: 0 out of 5 stars0 ratingsMathematical and Physical Fundamentals of Climate Change Rating: 0 out of 5 stars0 ratingsSub-seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting Rating: 0 out of 5 stars0 ratingsAtmospheric Satellite Observations: Variation Assimilation and Quality Assurance Rating: 0 out of 5 stars0 ratingsExtreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach Rating: 0 out of 5 stars0 ratingsExtreme Weather Forecasting Rating: 0 out of 5 stars0 ratingsFlood Forecasting: A Global Perspective Rating: 0 out of 5 stars0 ratingsAtmospheric Circulation Systems: their structure and physical interpretation Rating: 5 out of 5 stars5/5Contemporary Hydrogeology: The George Burke Maxey memorial volume Rating: 0 out of 5 stars0 ratingsAn Introduction to the Dynamics of El Nino and the Southern Oscillation Rating: 0 out of 5 stars0 ratingsCoastal Meteorology Rating: 0 out of 5 stars0 ratingsRobustness of Statistical Tests Rating: 0 out of 5 stars0 ratingsMultiple Stressors in River Ecosystems: Status, Impacts and Prospects for the Future Rating: 0 out of 5 stars0 ratingsApplied Climatology: A Study of Atmospheric Resources Rating: 5 out of 5 stars5/5Spatiotemporal Analysis of Extreme Hydrological Events Rating: 0 out of 5 stars0 ratingsAn Introduction to Stochastic Modeling Rating: 0 out of 5 stars0 ratingsBayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan Rating: 0 out of 5 stars0 ratingsStreamflow Characteristics Rating: 0 out of 5 stars0 ratingsMathematical Analysis of Groundwater Resources Rating: 0 out of 5 stars0 ratingsSurprises in Theoretical Physics Rating: 4 out of 5 stars4/5Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS Rating: 0 out of 5 stars0 ratingsThe Spectral Analysis of Time Series Rating: 0 out of 5 stars0 ratingsAn Introduction to the Global Circulation of the Atmosphere Rating: 0 out of 5 stars0 ratingsClimate Observations: Data Quality Control and Time Series Homogenization Rating: 0 out of 5 stars0 ratingsEarth Observation for Flood Applications: Progress and Perspectives Rating: 0 out of 5 stars0 ratingsAdvances in Streamflow Forecasting: From Traditional to Modern Approaches Rating: 0 out of 5 stars0 ratingsHandbook of Nanosafety: Measurement, Exposure and Toxicology Rating: 4 out of 5 stars4/5Ecosystem and Territorial Resilience: A Geoprospective Approach Rating: 0 out of 5 stars0 ratings
Earth Sciences For You
SAS Survival Handbook, Third Edition: The Ultimate Guide to Surviving Anywhere Rating: 4 out of 5 stars4/5438 Days: An Extraordinary True Story of Survival at Sea Rating: 4 out of 5 stars4/5Being Human: Life Lessons from the Frontiers of Science (Transcript) Rating: 4 out of 5 stars4/5Norwegian Wood: Chopping, Stacking, and Drying Wood the Scandinavian Way Rating: 4 out of 5 stars4/5Civilized to Death: The Price of Progress Rating: 4 out of 5 stars4/5Foraging for Survival: Edible Wild Plants of North America Rating: 0 out of 5 stars0 ratingsThe Witch's Yearbook: Spells, Stones, Tools and Rituals for a Year of Modern Magic Rating: 5 out of 5 stars5/5A Fire Story: A Graphic Memoir Rating: 4 out of 5 stars4/5Rockhounding for Beginners: Your Comprehensive Guide to Finding and Collecting Precious Minerals, Gems, Geodes, & More Rating: 0 out of 5 stars0 ratingsThe Pocket Guide to Prepping Supplies: More Than 200 Items You Can?t Be Without Rating: 5 out of 5 stars5/5Northeaster: A Story of Courage and Survival in the Blizzard of 1952 Rating: 5 out of 5 stars5/5The Phantom Atlas: The Greatest Myths, Lies and Blunders on Maps Rating: 4 out of 5 stars4/5The Disaster Preparedness Handbook: A Guide for Families Rating: 4 out of 5 stars4/5Summary of Bruce H. Lipton's The Biology of Belief 10th Anniversary Edition Rating: 5 out of 5 stars5/5Herbalism and Alchemy Rating: 0 out of 5 stars0 ratingsHow to Make Hand-Drawn Maps: A Creative Guide with Tips, Tricks, and Projects Rating: 4 out of 5 stars4/51 Dead in Attic: After Katrina Rating: 4 out of 5 stars4/5Patterns in Nature: Why the Natural World Looks the Way It Does Rating: 5 out of 5 stars5/5Energy: A Beginner's Guide Rating: 4 out of 5 stars4/5Rockhounding & Prospecting: Upper Midwest: How to Find Gold, Copper, Agates, Thomsonite, and Other Favorites Rating: 5 out of 5 stars5/5A Voyage For Madmen Rating: 4 out of 5 stars4/5Nuclear War Survival Skills: Lifesaving Nuclear Facts and Self-Help Instructions Rating: 4 out of 5 stars4/5Zondervan Essential Atlas of the Bible Rating: 5 out of 5 stars5/5
Related categories
Reviews for Statistical Postprocessing of Ensemble Forecasts
0 ratings0 reviews