Statistical postprocessing of ensemble forecasts. (2018)

• Record Type: Book
• Further Information: Note: Edited by Stéphane Vannitsem, Daniel S. Wilks, Jakob Messner.
• Editors: Vannitsem, Stéphane; Wilks, Daniel S; Messner, Jakob
• Contents: Introduction 1. Introduction and Overview 2. Ensemble Forecasting and the Need for Calibration Methods 3. Univariate Ensemble Post-Processing 4. Ensemble postprocessing methods incorporating dependence structures 5. Post-Processing for Extreme Events 6. Verification: Assessment of Calibration and Accuracy Applications 7. Application of Post-Processing to Weather Forecasts 8. Application of Post-Processing for Hydrological Forecasts 9. Application of Post-Processing for Renewable Energy 10. Application of Post-Processing for Seasonal, Decadal, and Climate Projections 11. Algorithms for Computing the Most Frequently Needed Methods for Ensemble Post-Processing and Verification
• Publisher Details: Amsterdam : Elsevier
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 003.2; Forecasting -- Statistical methods
• Languages: English
• ISBNs: 9780128122488
• Related ISBNs: 9780128123720
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.