Probability And Statistics In The Atmospheric Sciences
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Statistical Methods In The Atmospheric Sciences
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Author : Daniel S. Wilks
language : en
Publisher: Academic Press
Release Date : 2011-05-20
Statistical Methods In The Atmospheric Sciences written by Daniel S. Wilks and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-20 with Mathematics categories.
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 For Climate Scientists
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Author : Timothy DelSole
language : en
Publisher: Cambridge University Press
Release Date : 2022-02-24
Statistical Methods For Climate Scientists written by Timothy DelSole and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Mathematics categories.
An accessible introduction to statistical methods for students in the climate sciences.
Probability Statistics And Decision Making In The Atmospheric Sciences
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Author : Allan Murphy
language : en
Publisher: CRC Press
Release Date : 2019-07-11
Probability Statistics And Decision Making In The Atmospheric Sciences written by Allan Murphy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-11 with Mathematics categories.
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.
Probability Statistics And Decision Making In The Atmospheric Sciences
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Author : ALLAN;KATZ MURPHY (RICHARD W.)
language : en
Publisher:
Release Date : 2019
Probability Statistics And Decision Making In The Atmospheric Sciences written by ALLAN;KATZ MURPHY (RICHARD W.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Atmosphere categories.
Statistical Analysis In Climate Research
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Author : Hans von Storch
language : en
Publisher: Cambridge University Press
Release Date : 2002-02-21
Statistical Analysis In Climate Research written by Hans von Storch and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02-21 with Science categories.
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.
Probability Statistics And Decision Making In The Atmospheric Sciences
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Author : Allan H. Murphy
language : en
Publisher: Westview Press
Release Date : 1985-01-03
Probability Statistics And Decision Making In The Atmospheric Sciences written by Allan H. Murphy and has been published by Westview Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-01-03 with Mathematics categories.
Statistical Methods In The Atmospheric Sciences
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Author : Daniel S. Wilks
language : en
Publisher: Academic Press
Release Date : 2011-07-04
Statistical Methods In The Atmospheric Sciences written by Daniel S. Wilks and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-04 with Science categories.
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
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Author : Daniel S. Wilks
language : en
Publisher: Elsevier
Release Date : 2005-12-12
Statistical Methods In The Atmospheric Sciences written by Daniel S. Wilks and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-12 with Science categories.
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 verificationNew 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
Atmospheric Modeling Data Assimilation And Predictability
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Author : Eugenia Kalnay
language : en
Publisher: Cambridge University Press
Release Date : 2003
Atmospheric Modeling Data Assimilation And Predictability written by Eugenia Kalnay and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Atmospheric Data Analysis
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Author : Roger Daley
language : en
Publisher: Cambridge University Press
Release Date : 1993-11-26
Atmospheric Data Analysis written by Roger Daley and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-11-26 with Science categories.
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.