Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
Author: Daniel S. Wilks
Publsiher: Academic Press
Total Pages: 704
Release: 2011-07-04
Genre: Science
ISBN: 9780123850232

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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. 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. Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting Many worked examples End-of-chapter exercises, with answers provided

Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
Author: Daniel S. Wilks
Publsiher: Academic Press
Total Pages: 676
Release: 2011
Genre: Mathematics
ISBN: 9780123850225

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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
Publsiher: Unknown
Total Pages: 676
Release: 2011
Genre: Atmospheric physics
ISBN: OCLC:1090049214

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Statistical Methods in the Atmospheric Sciences

Statistical Methods in the Atmospheric Sciences
Author: Daniel S. Wilks
Publsiher: Elsevier
Total Pages: 467
Release: 1995-03-01
Genre: Mathematics
ISBN: 0080541720

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This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth. Key Features * Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting * Includes extensive and up-to-date references * Features numerous worked examples and exercises * Contains over 130 illustrations

Probability Statistics And Decision Making In The Atmospheric Sciences

Probability  Statistics  And Decision Making In The Atmospheric Sciences
Author: Allan Murphy,Richard W. Katz
Publsiher: CRC Press
Total Pages: 547
Release: 2019-07-11
Genre: Mathematics
ISBN: 9781000308204

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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 the atmospheric sciences community now contain some or more papers involving applications of concepts and/or methodology from the fields of probability and statistics. Despite the increasingly pervasive nature of such applications. very few book length treatments of probabilistic and statistical topics of particular interest to atmospheric scientists have appeared (especially inEnglish) since the publication of the pioneering works of Brooks andCarruthers (Handbook of Statistical Methods in Meteorology) in 1953 and Panofsky and Brier-(some Applications of)statistics to Meteor) in 1958. As a result. many relatively recent developments in probability and statistics are not well known to atmospheric scientists and recent work in active areas of meteorological research involving significant applications of probabilistic and statistical methods are not familiar to the meteorological community as a whole.

Statistical Data Analysis for Ocean and Atmospheric Sciences

Statistical Data Analysis for Ocean and Atmospheric Sciences
Author: H. Jean Thiebaux
Publsiher: Elsevier
Total Pages: 247
Release: 2013-10-22
Genre: Mathematics
ISBN: 9780080926292

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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 will find this book of great value as a statistical tool for their continuing studies. Key Features * Specifically designed for students of the ocean and atmospheric sciences * Contains a disk containing files of real ocean and atmospheric data, in universal ASCII format, on which many of the exercises are based * Provides succinct yet comprehensive coverage * Designed to teach students statistical methods with the scientific realism of computer analysis and statistical inference

Statistical Methods for Climate Scientists

Statistical Methods for Climate Scientists
Author: Timothy DelSole,Michael Tippett
Publsiher: Cambridge University Press
Total Pages: 450
Release: 2021-12-31
Genre: Mathematics
ISBN: 9781108472418

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An accessible introduction to statistical methods for students in the climate sciences.

Statistical Analysis in Climate Research

Statistical Analysis in Climate Research
Author: Hans von Storch,Francis W. Zwiers
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2002-02-21
Genre: Science
ISBN: 9781139425094

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Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography.

Atmospheric Data Analysis

Atmospheric Data Analysis
Author: Roger Daley
Publsiher: Cambridge University Press
Total Pages: 457
Release: 1993-11-26
Genre: Science
ISBN: 0521458250

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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.

Climate Time Series Analysis

Climate Time Series Analysis
Author: Manfred Mudelsee
Publsiher: Springer Science & Business Media
Total Pages: 474
Release: 2010-08-26
Genre: Science
ISBN: 9789048194827

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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 algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.

Statistical Analysis of Climate Extremes

Statistical Analysis of Climate Extremes
Author: Anonim
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9781107033184

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Statistical Methods for Physical Science

Statistical Methods for Physical Science
Author: Anonim
Publsiher: Academic Press
Total Pages: 542
Release: 1994-12-13
Genre: Science
ISBN: 0080860168

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This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares Addresses time series analysis, including filtering and spectral analysis Includes simulations of physical experiments Features applications of statistics to atmospheric physics and radio astronomy Covers the increasingly important area of modern statistical computing

Extremes in a Changing Climate

Extremes in a Changing Climate
Author: Amir AghaKouchak,David Easterling,Kuolin Hsu,Siegfried Schubert,Soroosh Sorooshian
Publsiher: Springer Science & Business Media
Total Pages: 426
Release: 2012-10-24
Genre: Science
ISBN: 9789400744790

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This book provides a collection of the state-of-the-art methodologies and approaches suggested for detecting extremes, trend analysis, accounting for nonstationarities, and uncertainties associated with extreme value analysis in a changing climate. This volume is designed so that it can be used as the primary reference on the available methodologies for analysis of climate extremes. Furthermore, the book addresses current hydrometeorologic global data sets and their applications for global scale analysis of extremes. While the main objective is to deliver recent theoretical concepts, several case studies on extreme climate conditions are provided. Audience The book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences.

Forecast Verification

Forecast Verification
Author: Ian T. Jolliffe,David B. Stephenson
Publsiher: John Wiley & Sons
Total Pages: 254
Release: 2003-08-01
Genre: Science
ISBN: 9780470864418

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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 important topics in the field that are the subject of current research or that would benefit from future research. An easy to read guide of current techniques with real life case studies An up-to-date and practical introduction to the different techniques and an examination of their strengths and weaknesses Practical advice given by some of the world?s leading forecasting experts Case studies and illustrations of actual verification and its interpretation Comprehensive glossary and consistent statistical and mathematical definition of commonly used terms

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
Publsiher: John Wiley & Sons
Total Pages: 362
Release: 2013
Genre: Business & Economics
ISBN: 9780470503447

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"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 weather forecasting, construction geological surveys, and water pollution assessment"--