Operational Weather Forecasting

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This book offers a complete primer, covering the end-to-end process of forecast production, and bringing together a description of all the relevant aspects together in a single volume; with plenty of explanation of some of the more complex issues and examples of current, state-of-the-art practices.

Operational Weather Forecasting covers the whole process of forecast production, from understanding the nature of the forecasting problem, gathering the observational data with which to initialise and verify forecasts, designing and building a model (or models) to advance those initial conditions forwards in time and then interpreting the model output and putting it into a form which is relevant to customers of weather forecasts. Included is the generation of forecasts on the monthly-to-seasonal timescales, often excluded in text-books despite this type of forecasting having been undertaken for several years.

This is a rapidly developing field, with a lot of variations in practices between different forecasting centres.  Thus the authors have tried to be as generic as possible when describing aspects of numerical model design and formulation.  Despite the reliance on NWP, the human forecaster still has a big part to play in producing weather forecasts and this is described, along with the issue of forecast verification – how forecast centres measure their own performance and improve upon it.

Advanced undergraduates and postgraduate students will use this book to understand how the theory comes together in the day-to-day applications of weather forecast production.  In addition, professional weather forecasting practitioners, professional users of weather forecasts and trainers will all find this new member of the RMetS Advancing Weather and Climate series a valuable tool. 

  • Provides an end-to-end description of the weather forecasting process
  • Clearly structured and pitched at an accessible level, the book discusses the practical choices that operational forecasting centres have to make in terms of what numerical models they use and when they are run.
  • Takes a very practical approach, using real life case-studies to contextualize information
  • 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
  • Full colour throughout
  • Written by a highly respected team of authors with experience in both academia and practice.
  • Part of the RMetS book series ‘Advancing Weather and Climate’
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About the author

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.
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Additional Information

Publisher
John Wiley & Sons
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Published on
Dec 6, 2012
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Pages
248
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ISBN
9781118447635
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Language
English
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Genres
Science / Earth Sciences / General
Science / Earth Sciences / Meteorology & Climatology
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Content Protection
This content is DRM protected.
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Available on Android devices
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Book 7
Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book.

This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation.

Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis.

Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.

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