Methods And Applications Of Statistics In The Atmospheric And Earth Sciences

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Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
ISBN 13 : 0470503440
Total Pages : 384 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Methods and Applications of Statistics in the Atmospheric and Earth Sciences by : Narayanaswamy Balakrishnan

Download or read book Methods and Applications of Statistics in the Atmospheric and Earth Sciences written by Narayanaswamy Balakrishnan and published by John Wiley & Sons. This book was released on 2012-11-19 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the classic and cutting-edge quantitative methods for understanding environmental science research Based on the multifaceted 16-volume Encyclopedia of Statistical Sciences, Second Edition, Methods and Applications of Statistics in the Atmospheric and Earth Sciences offers guidance on the application of statistical methods for conducting research in these fields of study. With contributions from more than 100 leading experts in academia and industry, this volume combines key articles from the Encyclopedia with newly developed topics addressing some of the more critical issues, including pollution, droughts, and volcanic activity. Readers will gain a thorough understanding of cutting-edge methods for the acquisition and analysis of data across a wide range of subject areas, from geophysics, geology, and biogeography to meteorology, forestry, agriculture, animal science, and ornithology. The book features new and updated content on quantitative methods and their use in understanding the latest topics in social research, including: Drought Analysis and Forecasting Childhood Obesity Ranked Set Sampling Methodology for Environmental Data Species Richness and Shared Species Richness Geographic Information Systems Each contribution offers authoritative yet easily accessible coverage of statistical concepts. With updated references and discussion of emerging topics, readers are provided with the various statistical methods, techniques, strategies, and applications that are essential for tackling critical issues in environmental science research. Featuring a balance of classical and cutting-edge methodologies, Methods and Applications of Statistics in the Atmospheric and Earth Sciences is an excellent resource for researchers, professionals, and students in the fields of sociology, psychology, philosophy, education, political science, and the related disciplines who would like to learn about the uses of statistics in gathering, reporting, and analyzing data.

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Author : N. Balakrishnan
Publisher :
ISBN 13 : 9781118452073
Total Pages : pages
Book Rating : 4.4/5 (52 download)

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Book Synopsis Methods and Applications of Statistics in the Atmospheric and Earth Sciences by : N. Balakrishnan

Download or read book Methods and Applications of Statistics in the Atmospheric and Earth Sciences written by N. Balakrishnan and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Provides a realistic alternative to the individual user who would like a quick reference containing encyclopedic information that pertains to their particular research interests and needs"--

Statistical Methods in the Atmospheric Sciences

Author : Daniel S. Wilks
Publisher : Academic Press
ISBN 13 : 0123850231
Total Pages : 704 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Statistical Methods in the Atmospheric Sciences by : Daniel S. Wilks

Download or read book Statistical Methods in the Atmospheric Sciences written by Daniel S. Wilks and published by Academic Press. This book was released on 2011-07-04 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 for Climate Scientists

Author : Timothy DelSole
Publisher : Cambridge University Press
ISBN 13 : 1108472419
Total Pages : 545 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Statistical Methods for Climate Scientists by : Timothy DelSole

Statistical Methods in the Atmospheric Sciences

Author : Daniel S. Wilks
Publisher : Elsevier
ISBN 13 : 0128165278
Total Pages : 840 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Statistical Methods in the Atmospheric Sciences by : Daniel S. Wilks

Download or read book Statistical Methods in the Atmospheric Sciences written by Daniel S. Wilks and published by Elsevier. This book was released on 2019-06-09 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting. Provides a strong, yet concise, introduction to applied statistics that is specific to atmospheric science Contains revised and expanded sections on nonparametric tests, test multiplicity and quality uncertainty descriptors Includes new sections on ANOVA, quantile regression, the lasso and other regularization methods, regression trees, changepoint detection, ensemble forecasting and exponential smoothing

Statistics for Earth and Environmental Scientists

Author : John H. Schuenemeyer
Publisher : John Wiley & Sons
ISBN 13 : 1118102215
Total Pages : 341 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Statistics for Earth and Environmental Scientists by : John H. Schuenemeyer

Download or read book Statistics for Earth and Environmental Scientists written by John H. Schuenemeyer and published by John Wiley & Sons. This book was released on 2011-04-12 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.

Statistical Methods in the Atmospheric Sciences

Author : Daniel S. Wilks
Publisher : Elsevier
ISBN 13 : 9780080541723
Total Pages : 467 pages
Book Rating : 4.5/5 (417 download)

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Book Synopsis Statistical Methods in the Atmospheric Sciences by : Daniel S. Wilks

Download or read book Statistical Methods in the Atmospheric Sciences written by Daniel S. Wilks and published by Elsevier. This book was released on 1995-03-01 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistical Methods for Climate Scientists

Author : Timothy DelSole
Publisher : Cambridge University Press
ISBN 13 : 110858814X
Total Pages : 545 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Statistical Methods for Climate Scientists by : Timothy DelSole

Download or read book Statistical Methods for Climate Scientists written by Timothy DelSole and published by Cambridge University Press. This book was released on 2022-02-24 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessible textbook and reference for students and early-career researchers in the climate sciences.

Probability, Statistics, And Decision Making In The Atmospheric Sciences

Author : Allan Murphy
Publisher : CRC Press
ISBN 13 : 1000308200
Total Pages : 547 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Probability, Statistics, And Decision Making In The Atmospheric Sciences by : Allan Murphy

Download or read book Probability, Statistics, And Decision Making In The Atmospheric Sciences written by Allan Murphy and published by CRC Press. This book was released on 2019-07-11 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistics in the Environmental & Earth Sciences

Author : Andrew T. Walden
Publisher : Hodder Education
ISBN 13 :
Total Pages : 330 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistics in the Environmental & Earth Sciences by : Andrew T. Walden

Download or read book Statistics in the Environmental & Earth Sciences written by Andrew T. Walden and published by Hodder Education. This book was released on 1992 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantitative Analysis and Modeling of Earth and Environmental Data

Author : Jiaping Wu
Publisher : Elsevier
ISBN 13 : 0128163429
Total Pages : 504 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Quantitative Analysis and Modeling of Earth and Environmental Data by : Jiaping Wu

Download or read book Quantitative Analysis and Modeling of Earth and Environmental Data written by Jiaping Wu and published by Elsevier. This book was released on 2021-12-04 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other. The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications). Explores the analysis and processing of chronotopologic (i.e., space-time and spacetime) data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines Studies the synthesis of scientific theory and empirical evidence (in its various forms) that offers a mathematically rigorous and physically meaningful assessment of real-world phenomena Covers a wide range of data describing a variety of attributes characterizing physical phenomena and systems including earth, ocean and atmospheric variables, environmental and ecological parameters, population health states, disease indicators, and social and economic characteristics Includes case studies and practice exercises at the end of each chapter for both real-world applications and deeper understanding of the concepts presented

Climate Time Series Analysis

Author : Manfred Mudelsee
Publisher : Springer
ISBN 13 : 3319044508
Total Pages : 477 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Climate Time Series Analysis by : Manfred Mudelsee

Download or read book Climate Time Series Analysis written by Manfred Mudelsee and published by Springer. This book was released on 2014-06-27 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. “....comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications...accessible to readers with knowledge of college-level calculus and statistics.” (Computers and Geosciences) “A key part of the book that separates it from other time series works is the explicit discussion of time uncertainty...a very useful text for those wishing to understand how to analyse climate time series.” (Journal of Time Series Analysis) “...outstanding. One of the best books on advanced practical time series analysis I have seen.” (David J. Hand, Past-President Royal Statistical Society)

Climate Time Series Analysis

Author : Manfred Mudelsee
Publisher : Springer Science & Business Media
ISBN 13 : 9048194822
Total Pages : 474 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Climate Time Series Analysis by : Manfred Mudelsee

Download or read book Climate Time Series Analysis written by Manfred Mudelsee and published by Springer Science & Business Media. This book was released on 2010-08-26 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistics for Earth and Environmental Scientists

Author : Jacek Fabian
Publisher :
ISBN 13 : 9781681175713
Total Pages : 290 pages
Book Rating : 4.1/5 (757 download)

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Book Synopsis Statistics for Earth and Environmental Scientists by : Jacek Fabian

Download or read book Statistics for Earth and Environmental Scientists written by Jacek Fabian and published by . This book was released on 2016-08-01 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earth scientists are often involved in taking observations on the earth's surface and its interior. Earth scientists are confronted with many challenges. Phenomena of interest are often deep within the earth surface, in oceans, or in the atmosphere. Collecting data often is costly, time consuming, and hampered by limited access. Geologic events occur at irregular intervals, often widely spaced. Decisions made on the basis of studies in the earth sciences can have significant long term consequences. An understanding of data used in decision making is critical. Exploratory data analysis provides insight into data quality, variability, and structure. Constructing models provides a basis for understanding complex geologic processes and for making inferences. Since earth scientists depend largely on observations, particularly on observations where there is a large portion of uncertainty, Statistics plays a major role in drawing inferences concerning the earth and its interior.Statistics for Earth and Environmental Scientists provides comprehensive theoretical and practical knowledge of statistical applications for solving real-world environmental problems. This book is envisioned for students and practitioners of the earth and environmental sciences who want to practise statistical tools to unravel real problems. It offers a variety of tools that are used across earth science disciplines. Statistical methods need to be understood because today's interesting problems are complex and include uncertainty. These complex problems take account of energy resources, climate change, and geologic hazards.

Introduction to Python in Earth Science Data Analysis

Author : Maurizio Petrelli
Publisher : Springer Nature
ISBN 13 : 3030780554
Total Pages : 229 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Introduction to Python in Earth Science Data Analysis by : Maurizio Petrelli

Download or read book Introduction to Python in Earth Science Data Analysis written by Maurizio Petrelli and published by Springer Nature. This book was released on 2021-09-16 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.

Handbook of Environmental and Ecological Statistics

Author : Alan E. Gelfand
Publisher : CRC Press
ISBN 13 : 1351648543
Total Pages : 679 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Handbook of Environmental and Ecological Statistics by : Alan E. Gelfand

Download or read book Handbook of Environmental and Ecological Statistics written by Alan E. Gelfand and published by CRC Press. This book was released on 2019-01-15 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.

Strategic Guidance for the National Science Foundation's Support of the Atmospheric Sciences

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309179033
Total Pages : 216 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Strategic Guidance for the National Science Foundation's Support of the Atmospheric Sciences by : National Research Council

Download or read book Strategic Guidance for the National Science Foundation's Support of the Atmospheric Sciences written by National Research Council and published by National Academies Press. This book was released on 2007-05-31 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Science Foundation's Division of Atmospheric Sciences (ATM) supports research to develop new understanding of Earth's atmosphere and how the Sun impacts it. Strategic Guidance for the National Science Foundation's Support of the Atmospheric Sciences provides guidance to ATM on its strategy for achieving its goals in the atmospheric sciences, including cutting-edge research, education and workforce development, service to society, computational and observational objectives, and data management. The report reviews how the atmospheric sciences have evolved over the past several decades and analyzes the strengths and limitations of the various modes of support employed by ATM. It concludes that ATM is operating in an environment that is ever more cross-disciplinary, interagency, and international, making a more strategic approach necessary to manage activities in a way that actively engages the atmospheric sciences community. At the same time, ATM should preserve opportunities for basic research, especially projects that are high risk, potentially transformative, or unlikely to be supported by other government agencies. Finally, ATM needs to be more proactive in attracting highly talented students to the atmospheric sciences as an investment in the ability to make future breakthroughs.