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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.
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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