UID:
almafu_9959328113302883
Umfang:
1 online resource
ISBN:
9781118447635
,
1118447638
,
9781118447642
,
1118447646
,
9781118471142
,
1118471148
,
9780470711583
,
0470711582
,
9781118447659
,
1118447654
,
9781299158436
,
1299158439
Serie:
Advancing weather and climate science series
Inhalt:
"This book will cover the end-to-end process of operational weather forecasting"--Provided by publisher.
Anmerkung:
Operational Weather Forecasting; Contents; Series Foreword; Preface; Acknowledgements; Chapter 1 Introduction; 1.1 A brief history of operational weather forecasting; Chapter 2 The Nature of the Weather Forecasting Problem; 2.1 Atmospheric predictability; 2.2 The importance of observations in weather forecasting; 2.3 An overview of the operational forecast process; Summary; Chapter 3 Meteorological Observations; 3.1 What do we need from a meteorological observing system?; 3.2 Data transmission and processing; 3.3 Observing platforms; 3.3.1 In situ networks; 3.3.2 Remote sensing; Summary.
,
Chapter 4 NWP Models-the Basic Principles4.1 The basic ingredients of an NWP model; 4.1.1 Dynamical equations; 4.1.2 Physical parametrizations; 4.2 Building the physical principles into a model; 4.2.1 Finite difference methods; 4.2.2 Numerical stability; 4.2.3 Grid box size and 'resolution'; 4.2.4 Spectral methods; 4.3 Setting the initial conditions for the forecast; 4.3.1 Combining models and observations -- the philosophy of data assimilation; 4.3.2 Variational data assimilation; 4.3.3 Observation processing; 4.3.4 The 4D-VAR assimilation process; 4.3.5 Information content in NWP analyses.
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4.3.6 Assimilation of satellite data4.3.7 'Intervention' and 'bogussing' in the assimilation process; 4.3.8 Future developments in observing systems and data assimilation; Summary; Chapter 5 Designing Operational NWP Systems; 5.1 Practical considerations for an NWP suite; 5.1.1 Model domain; 5.1.2 Model resolution; 5.1.3 Designing and running an NWP suite; 5.2 Ensemble prediction systems; 5.2.1 Ensemble methods; 5.2.2 Operational considerations for ensemble prediction; 5.3 Model output-what can NWP models produce?; 5.3.1 Ensemble diagnostics; 5.3.2 Model output post-processing.
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5.4 Using NWP output to drive other forecast models5.4.1 Wave and swell models; 5.4.2 Atmospheric dispersion models; 5.4.3 Hydrological models; 5.4.4 Road surface models; Summary; Chapter 6 The Role of the Human Forecaster; 6.1 The role of the senior forecasting team; 6.1.1 Short-range assessment of NWP forecasts; 6.1.2 Medium-range assessment of NWP forecasts; 6.1.3 Forecast modification tools; 6.1.4 Forecasting between the NWP forecasts; 6.2 Production of forecasts for customers; 6.2.1 Broadcast and print media; 6.2.2 Agriculture; 6.2.3 Civil aviation; 6.2.4 Military aviation.
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6.2.5 Energy generation6.2.6 Road transport; 6.2.7 Sport; Summary; Chapter 7 Forecasting at Longer Time Ranges; 7.1 Where does the predictability come from in longer range forecasts?; 7.1.1 Tropical ocean temperature anomalies; 7.1.2 Extra-tropical ocean temperature anomalies; 7.1.3 Stratospheric anomalies; 7.1.4 Land surface temperature and soil moisture anomalies; 7.1.5 Land surface snow cover and sea ice anomalies; 7.1.6 Solar variability; 7.2 Observations of ocean and land surface variables; 7.3 Monthly to seasonal forecasting systems; 7.3.1 Empirical methods; 7.3.2 NWP methods.
Weitere Ausg.:
Print version: Inness, Peter (Peter M.). Operational weather forecasting. Hoboken, NJ : John Wiley & Sons, Ltd, 2013 ISBN 9780470711590
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9781118447659
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118447659
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118447659
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118447659
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