Uncertainties in Numerical Weather Prediction
eBook - ePub

Uncertainties in Numerical Weather Prediction

  1. 364 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Uncertainties in Numerical Weather Prediction

About this book

Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts. - 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

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Yes, you can access Uncertainties in Numerical Weather Prediction by Haraldur Olafsson,Jian-Wen Bao in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Elsevier
Year
2020
Print ISBN
9780128154915
eBook ISBN
9780128157107
Topic
Physical Sciences
Subtopic
Geology & Earth Sciences

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. Contributors
  7. Preface
  8. Chapter 1 Dynamical cores for NWP: An uncertain landscape
  9. Chapter 2 Numerical uncertainties in discretization of the shallow-water equations for weather predication models
  10. Chapter 3 Probabilistic view of numerical weather prediction and ensemble prediction
  11. Chapter 4 Predictability
  12. Chapter 5 Modeling moist dynamics on subgrid
  13. Chapter 6 Ensemble data assimilation for estimating analysis uncertainty
  14. Chapter 7 Subgrid turbulence mixing
  15. Chapter 8 Uncertainties in the surface layer physics parameterizations
  16. Chapter 9 Radiation
  17. Chapter 10 Uncertainties in the parameterization of cloud microphysics: An illustration of the problem
  18. Chapter 11 Mesoscale orographic flows
  19. Chapter 12 Numerical methods to identify model uncertainty
  20. Chapter 13 Dynamic identification and tracking of errors in numerical simulations of the atmosphere
  21. Index