Book contents
- Frontmatter
- Contents
- Foreword to the French Edition
- Foreword to the English Edition
- Preface
- Acknowledgments
- Partial list of symbols
- 1 Half a century of numerical weather prediction
- 2 Weather prediction equations
- 3 Finite differences
- 4 Spectral methods
- 5 The effects of discretization
- 6 Barotropic models
- 7 Baroclinic model equations
- 8 Some baroclinic models
- 9 Physical parameterizations
- 10 Operational forecasting
- Appendix A Examples of nonhydrostatic models
- Further reading
- References
- Index
10 - Operational forecasting
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Foreword to the French Edition
- Foreword to the English Edition
- Preface
- Acknowledgments
- Partial list of symbols
- 1 Half a century of numerical weather prediction
- 2 Weather prediction equations
- 3 Finite differences
- 4 Spectral methods
- 5 The effects of discretization
- 6 Barotropic models
- 7 Baroclinic model equations
- 8 Some baroclinic models
- 9 Physical parameterizations
- 10 Operational forecasting
- Appendix A Examples of nonhydrostatic models
- Further reading
- References
- Index
Summary
Introduction
An atmospheric numerical prediction model is the main component in a much larger whole termed a numerical prediction suite, which comprises all of the processes implemented for making operational weather forecasts. Among these processes we distinguish the acquisition of meteorological data, the objective analysis (and more generally the observation data assimilation), the forecasting process using one or more atmospheric models, the determination of weather parameters at local scale, and lastly the display of all the available information.
In order to grasp the behaviour of a prediction model, we need to deploy a set of verification methods that allow us to compare predictions with the real situation. There are a good number of quality indices that provide statistical information on the model’s behaviour. It is essential to verify models so as to monitor their imperfections and try to rectify them.
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- Chapter
- Information
- Fundamentals of Numerical Weather Prediction , pp. 245 - 284Publisher: Cambridge University PressPrint publication year: 2011