
Uncertainties in Numerical Weather Prediction
Description
Key Features
- Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers
- Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts
- Includes references to climate prediction models to allow applications of these techniques for climate simulations
Readership
Students and researchers in atmospheric sciences, including not only weather forecasting but climate sciences; developers of tools for numerical weather prediction in research centres and universities
Table of Contents
1. DYNAMICAL CORES FOR NWP: AN UNCERTAIN LANDSCAPE
2. DYNAMICAL MODEL DISCRETIZETION
3. PROBABILISTIC VIEW OF NUMERICAL WEATHER PREDICTION AND ENSEMBLE PREDICTION
4. PREDICTABILITY
5. MODELING MOIST DYNAMICS ON SUBGRID SCALES
6. ENSEMBLE DATA ASSIMILATION
7. SUBGRID TURBULENCE MIXING
8. UNCERTAINTIES IN THE SURFACE LAYER PHYSICS PARAMETERIZATIONS
9. INTERACTION OF CLOUDS AND RADIATION
10. UNCERTAINTIES IN THE PARAMETERIZATION OF CLOUD MICROPHYSICS: AN ILLUSTRATION OF THE PROBLEM
11. MEOSCALE OROGRAPHIC FLOWS
12. TRACERS AND ATMOSPHERIC RIVERS
13. DYNAMIC IDENTIFICATION AND TRACING OF ERRORS IN NUMERICAL SIMULATIONS OF THE ATMOSPHERE
Product details
- No. of pages: 364
- Language: English
- Copyright: © Elsevier 2020
- Published: November 25, 2020
- Imprint: Elsevier
- Paperback ISBN: 9780128154915
- eBook ISBN: 9780128157107
About the Editors
Haraldur Olafsson
Affiliations and Expertise
Jian-Wen Bao
Affiliations and Expertise
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