Statistical Methods in the Atmospheric Sciences

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. * 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 * Detailed section on forecast verification, including statistical inference, diagrams, and other methods New in this Edition: * 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 * Careful updates and edits throughout, based on users' feedback

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  • Author : Daniel S. Wilks
  • Publisher : Academic Press
  • Pages : 627 pages
  • ISBN : 0127519661
  • Rating : 5/5 from 1 reviews
CLICK HERE TO GET THIS BOOKStatistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
  • Author : Daniel S. Wilks
  • Publisher : Academic Press
  • Release : 18 January 2021
GET THIS BOOKStatistical Methods in the Atmospheric Sciences

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. The book 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.

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
  • Author : Daniel S. Wilks
  • Publisher : Academic Press
  • Release : 18 January 2021
GET THIS BOOKStatistical Methods in the Atmospheric Sciences

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

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
  • Author : Daniel S. Wilks
  • Publisher : Academic Press
  • Release : 04 July 2011
GET THIS BOOKStatistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences, Third 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.

Probability, Statistics, And Decision Making In The Atmospheric Sciences

Probability, Statistics, And Decision Making In The Atmospheric Sciences
  • Author : Allan Murphy,Richard W. Katz
  • Publisher : CRC Press
  • Release : 11 July 2019
GET THIS BOOKProbability, Statistics, And Decision Making In The Atmospheric Sciences

Methodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the atmosphericsciences. both in basic and applied research and in experimental and operational studies. Applications of such methodology can be found in almost every facet of the discipline. from the most theoretical and global (e.g., atmospheric predictability. global climate modeling) to the most practical and local (e.g., crop-weather modeling forecast evaluation). Almost every issue of the multitude of journals published by

Statistical Data Analysis for Ocean and Atmospheric Sciences

Statistical Data Analysis for Ocean and Atmospheric Sciences
  • Author : H. Jean Thiebaux
  • Publisher : Elsevier
  • Release : 22 October 2013
GET THIS BOOKStatistical Data Analysis for Ocean and Atmospheric Sciences

Studies of local and global phenomena generate descriptions which require statistical analysis. In this text, H. Jean Thiebaux presents a succinct yet comprehensive review of the fundamentals of statistics as they pertain to studies in oceanic and atmospheric sciences. The text includes an accompanying disk with compatible Minitab sample data. Together, this volume and the included data provide insights into the basics of statistical inference, data analysis, and distributional models of variability. Oceanographers, meteorologists, marine biologists, and other environmental scientists

Climate Time Series Analysis

Climate Time Series Analysis
  • Author : Manfred Mudelsee
  • Publisher : Springer Science & Business Media
  • Release : 26 August 2010
GET THIS BOOKClimate Time Series Analysis

Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Methods and Applications of Statistics in the Atmospheric and Earth Sciences
  • Author : N. Balakrishnan
  • Publisher : John Wiley & Sons
  • Release : 18 January 2021
GET THIS BOOKMethods and Applications of Statistics in the Atmospheric and Earth Sciences

"Presenting a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the earth and atmospheric sciences. Containing contributions from over 100 leading academics, researchers, and practitioners in these fields, this comprehensive book unveils modern, approaches to the acquisition and analysis of data across diverse subject areas like geology, agriculture, animal science, and geophysics. It discusses techniques related to survey methodology, computational statistics, and operations research and covers new areas of interest like non-linear

Atmospheric Data Analysis

Atmospheric Data Analysis
  • Author : Roger Daley
  • Publisher : Cambridge University Press
  • Release : 26 November 1993
GET THIS BOOKAtmospheric Data Analysis

Intended to fill a void in the atmospheric science literature, this self-contained text outlines the physical and mathematical basis of all aspects of atmospheric analysis as well as topics important in several other fields outside of it, including atmospheric dynamics and statistics.

Statistical Postprocessing of Ensemble Forecasts

Statistical Postprocessing of Ensemble Forecasts
  • Author : Stéphane Vannitsem,Daniel S. Wilks,Jakob Messner
  • Publisher : Elsevier
  • Release : 17 May 2018
GET THIS BOOKStatistical Postprocessing of Ensemble Forecasts

Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate

Handbook of Environmental and Ecological Statistics

Handbook of Environmental and Ecological Statistics
  • Author : Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith
  • Publisher : CRC Press
  • Release : 15 January 2019
GET THIS BOOKHandbook of Environmental and Ecological Statistics

This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis

Forecast Verification

Forecast Verification
  • Author : Ian T. Jolliffe,David B. Stephenson
  • Publisher : John Wiley & Sons
  • Release : 01 August 2003
GET THIS BOOKForecast Verification

This handy reference introduces the subject of forecast verification and provides a review of the basic concepts, discussing different types of data that may be forecast. Each chapter covers a different type of predicted quantity (predictand), then looks at some of the relationships between economic value and skill scores, before moving on to review the key concepts and summarise aspects of forecast verification that receive the most attention in other disciplines. The book concludes with a discussion on the most

Encyclopedia of Atmospheric Sciences

Encyclopedia of Atmospheric Sciences
  • Author : Gerald R. North,John A. Pyle,Fuqing Zhang
  • Publisher : Elsevier
  • Release : 14 September 2014
GET THIS BOOKEncyclopedia of Atmospheric Sciences

Encyclopedia of Atmospheric Sciences, 2nd Edition is an authoritative resource covering all aspects of atmospheric sciences, including both theory and applications. With more than 320 articles and 1,600 figures and photographs, this revised version of the award-winning first edition offers comprehensive coverage of this important field. The six volumes in this set contain broad-ranging articles on topics such as atmospheric chemistry, biogeochemical cycles, boundary layers, clouds, general circulation, global change, mesoscale meteorology, ozone, radar, satellite remote sensing, and weather prediction. The Encyclopedia

Statistical Methods for Environmental Pollution Monitoring

Statistical Methods for Environmental Pollution Monitoring
  • Author : Richard O. Gilbert
  • Publisher : John Wiley & Sons
  • Release : 15 February 1987
GET THIS BOOKStatistical Methods for Environmental Pollution Monitoring

This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples