Operational Weather Forecasting

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  • Format: Hardcover
  • Copyright: 2013-02-11
  • Publisher: Wiley-Blackwell
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Supplemental Materials

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  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.


This book is an accessible introduction to the practice of operational weather forecasting, and describes the end-to-end process of forecasting, from gathering and processing observational data, through data assimilation and running a numerical model, to the production of forecasts for end users. It discusses the latest advances in the area, including ensemble methods, monthly to seasonal range prediction and use of nowcasting tools such as radar and satellite imagery. In full colour throughout and written by a highly respected team of authors with experience in both academia and practice, this book is an ideal addition to the RMetS Advancing Weather and Climate Science Series.

Author Biography

Peter Inness is a lecturer in the Meteorology Department of Reading University having previously been a Reasearch fellow in the Climate Division of the NERC funded National Centre for Atmospheric Science based at the University of Reading.

Steve Dorling is Senior Lecturer and Researcher in the School of Environmental Sciences at the University of East Anglia (UEA). Steve is also Innovations Director at UEA-based Weatherquest Ltd.

Table of Contents

Series Foreword vii

Preface ix

Acknowledgements xiii

1 Introduction 1

1.1 A brief history of operational weather forecasting 2

2 The Nature of theWeather Forecasting Problem 9

2.1 Atmospheric predictability 9

2.2 The importance of observations in weather forecasting 13

2.3 An overview of the operational forecast process 17

Summary 25

3 Meteorological Observations 27

3.1 What do we need from a meteorological

observing system? 27

3.2 Data transmission and processing 29

3.3 Observing platforms 31

Summary 51

4 NWP Models – the Basic Principles 53

4.1 The basic ingredients of an NWP model 55

4.2 Building the physical principles into a model 79

4.3 Setting the initial conditions for the forecast 89

Summary 107

5 Designing Operational NWP Systems 109

5.1 Practical considerations for an NWP suite 109

5.2 Ensemble prediction systems 124

5.3 Model output – what can NWP models produce? 130

5.4 Using NWP output to drive other forecast models 144

Summary 148

6 The Role of the Human Forecaster 149

6.1 The role of the senior forecasting team 150

6.2 Production of forecasts for customers 163

Summary 175

7 Forecasting at Longer Time Ranges 177

7.1 Where does the predictability come from in longer range

forecasts? 178

7.2 Observations of ocean and land surface variables 185

7.3 Monthly to seasonal forecasting systems 187

7.4 Presentation of longer range forecasts 200

Summary 204

8 Forecast Verification 205

8.1 Deterministic forecast verification 208

8.2 Verification of probability forecasts 216

8.3 Subjective verification 219

Summary 222

References 223

Index 227

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