Operational Weather Forecasting

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This book offers a complete primer, covering the end-to-endprocess of forecast production, and bringing together a descriptionof all the relevant aspects together in a single volume; withplenty of explanation of some of the more complex issues andexamples of current, state-of-the-art practices.

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

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

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

  • Provides an end-to-end description of the weather forecastingprocess
  • Clearly structured and pitched at an accessible level, the bookdiscusses the practical choices that operational forecastingcentres have to make in terms of what numerical models they use andwhen they are run.
  • Takes a very practical approach, using real life case-studiesto contextualize information
  • Discusses the latest advances in the area, including ensemblemethods, monthly to seasonal  range prediction and use of‘nowcasting’ tools such as radar and satelliteimagery
  • Full colour throughout
  • Written by a highly respected team of authors with experiencein both academia and practice.
  • Part of the RMetS book series ‘Advancing Weather andClimate’
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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

John Wiley & Sons
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Published on
Dec 6, 2012
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Science / Earth Sciences / General
Science / Earth Sciences / Meteorology & Climatology
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This content is DRM protected.
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Time Series Analysis in Meteorology and Climatology providesan accessible overview of this notoriously difficult subject.Clearly structured throughout, the authors develop sufficienttheoretical foundation to understand the basis for applying variousanalytical methods to a time series and show clearly how tointerpret the results. Taking a unique approach to the subject, theauthors use a combination of theory and application to real datasets to enhance student understanding throughout the book.

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

Students are encouraged to write their own computer programmesand data sets are provided to enable them to recognize quicklywhether their programme is working correctly- one data set isprovided with artificial data and the other with real data wherethe students are required to physically interpret the results oftheir periodgram analysis.

Based on the acclaimed and long standing course at theUniversity of Oklahoma and part of the RMetS Advancing Weather andClimate Science Series, this book is distinct in its approachto the subject matter in that it is written specifically forreaders in meteorology and climatology and uses a mix of theory andapplication to real data sets.

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