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Statistical Methods in the Atmospheric Sciences (Volume 100) (International Geophysics, Volume 100) - Hardcover

 
9780127519661: Statistical Methods in the Atmospheric Sciences (Volume 100) (International Geophysics, Volume 100)
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Statistical Methods in the Atmospheric Sciences, Second Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data. This revised and expanded text is intended to help students understand and communicate what their data sets have to say, or to make sense of the scientific literature in meteorology, climatology, and related disciplines.

In this new edition, what was a single chapter on multivariate statistics has been expanded to a full six chapters on this important topic. Other chapters have also been revised and cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, and time series analysis. There is now an expanded treatment of resampling tests and key analysis techniques, an updated discussion on ensemble forecasting, and a detailed chapter on forecast verification. In addition, the book includes new sections on maximum likelihood and on statistical simulation and contains current references to original research. Students will benefit from pedagogical features including worked examples, end-of-chapter exercises with separate solutions, and numerous illustrations and equations.

This book will be of interest to researchers and students in the atmospheric sciences, including meteorology, climatology, and other geophysical disciplines.



* Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting
* Features numerous worked examples and exercises
* Covers Model Output Statistic (MOS) with an introduction to the Kalman filter, an approach that tolerates frequent model changes
* Includes a detailed section on forecast verification
New in this Edition:
* Expanded treatment of resampling tests and coverage of key analysis techniques
* Updated treatment of ensemble forecasting
* Edits and revisions throughout the text plus updated references

"synopsis" may belong to another edition of this title.

Review:
Expanded coverage and key updates help readers describe, analyze, test, and forecast atmospheric data
Synopsis:
Praise for the First Edition: 'I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences' - BAMS (Bulletin of the American Meteorological Society). Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move research forward and drive innovations in atmospheric modeling and prediction. This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test and forecast atmospheric data.It features numerous worked examples, illustrations, equations, and exercises with separate solutions. "Statistical Methods in the Atmospheric Sciences, Second Edition" will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.

It presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting. Chapters feature numerous worked examples and exercises.Model Output Statistic (MOS) includes an introduction to the Kalman filter, an approach that tolerates frequent model changes. This title contains a detailed section on forecast verification, including statistical inference, diagrams, and other methods. New in this Edition are: expanded treatment of resampling tests within nonparametric tests; updated treatment of ensemble forecasting; expanded coverage of key analysis techniques, such as principle component analysis, canonical correlation analysis, discriminant analysis, and cluster analysis; and, careful updates and edits throughout, based on users' feedback.

"About this title" may belong to another edition of this title.

  • PublisherAcademic Press
  • Publication date2005
  • ISBN 10 0127519661
  • ISBN 13 9780127519661
  • BindingHardcover
  • Edition number2
  • Number of pages648
  • Rating

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