Statistical Methods in the Atmospheric Sciences


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Zentralblatt MATH identifier Keywords Data assimilation general circulation model model assessment parameterization of physical processes spatial time series. Solow, Andrew R. Statistics in Atmospheric Science.

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More by Andrew R. Abstract Article info and citation First page References Abstract This paper reviews the use of statistical methods in atmospheric science. Article information Source Statist.

Statistical Methods in the Atmospheric Sciences: An Introduction

Export citation. Export Cancel. References Bailey, B. Neural networks: Cloud parameterizations. In Studies in the Atmospheric Sciences. By using our website you agree to our use of cookies.

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Statistical Methods in the Atmospheric Sciences (4th ed.)

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Harry Potter. Popular Features. New Releases. Statistical Methods in the Atmospheric Sciences: Volume Description Statistical Methods in the Atmospheric Sciences, Third Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data.

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

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.


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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. Product details Format Hardback pages Dimensions x x Other books in this series. Atmospheric Science Peter Victor Hobbs.

Statistical Methods in the Atmospheric Sciences Volume 100 Third Edition International Geophysics 3r
Statistical Methods in the Atmospheric Sciences Statistical Methods in the Atmospheric Sciences
Statistical Methods in the Atmospheric Sciences Statistical Methods in the Atmospheric Sciences
Statistical Methods in the Atmospheric Sciences Statistical Methods in the Atmospheric Sciences
Statistical Methods in the Atmospheric Sciences Statistical Methods in the Atmospheric Sciences
Statistical Methods in the Atmospheric Sciences Statistical Methods in the Atmospheric Sciences
Statistical Methods in the Atmospheric Sciences Statistical Methods in the Atmospheric Sciences

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