Statistical Methods in the Atmospheric Sciences PDF Download

Author: Daniel S. Wilks
Publisher: Academic Press
ISBN: 0127519661
Category : Mathematics
Languages : en
Pages : 650

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Book Description
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 res.

Author: Daniel S. Wilks
Publisher: Academic Press
ISBN: 0123850231
Category : Science
Languages : en
Pages : 704

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Book Description
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

Author: Daniel S. Wilks
Publisher:
ISBN: 0127519653
Category : Atmospheric physics
Languages : en
Pages : 467

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Book Description

Author: Timothy DelSole
Publisher: Cambridge University Press
ISBN: 1108472419
Category : Mathematics
Languages : en
Pages : 545

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

Author: Manfred Mudelsee
Publisher: Cambridge University Press
ISBN: 1107033187
Category :
Languages : en
Pages : 213

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Book Description
The risks posed by climate change and its effect on climate extremes are an increasingly pressing societal problem. This book provides an accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk. The statistical analysis methods are illustrated with case studies on extremes in the three major climate variables: temperature, precipitation, and wind speed. The book also provides datasets and access to appropriate analysis software, allowing the reader to replicate the case study calculations. Providing the necessary tools to analyse climate risk, this book is invaluable for students and researchers working in the climate sciences, as well as risk analysts interested in climate extremes.

Author: Hans von Storch
Publisher: Cambridge University Press
ISBN: 1139425099
Category : Science
Languages : en
Pages : 979

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Book Description
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.

Author: D.R. Helsel
Publisher: Elsevier
ISBN: 9780080875088
Category : Mathematics
Languages : en
Pages : 546

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Book Description
Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Author: Daniel S. Wilks
Publisher: Elsevier
ISBN: 9780080541723
Category : Mathematics
Languages : en
Pages : 467

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Book Description
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

Author: Stefan Emeis
Publisher:
ISBN: 9783443010669
Category : Atmosphere
Languages : en
Pages : 257

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Book Description
'Measurement Methods in Atmospheric Sciences provides a comprehensive overview of in-situ and remote sensing measurement techniques for probing the Earth's atmosphere. The methods presented in this book span the entire range from classical meteorology via atmospheric chemistry and micrometeorological fiux determination to Earth observation from space. Standard instruments for meteorological and air quality monitoring methods, as well as specialized instrumentation predominantly used in scientific experiments, are covered. The presented techniques run from simple mechanical sensors to highly sophisticated electronic devices. Special emphasis is on the rapidly evolving field of remote sensing techniques. Here, active ground-based remote sending techniques such as SODAR and LIDAR find a detailed coverage. The book conveys the basic principles of the various observational and monitoring methods, enabling the user to identify the most appropriate method. An introductory chapter covers general principles (e. g. inversion of measured data, available platforms, statistical properties of data, data acquisition). Later chapters each treat methods for measuring a specific property (e.g. humidity, wind speed, wind direction). Long chapters provide an introductory tabular list of the methods treated. More than 100 figures and 400 references, mostly to the recent scientific literature, aid the reader in reading up on the details of the various methods at hand. Recommendations at the end of each major chapter provide additional hints on the use of some instruments in order to facilitate the selection of the proper instrument for a successful measurement. A large number of national and international standards, providing precise guidelines for measuring and acquiring reliable, reproducible and comparable data sets are listed in the appendix. A dedicated index allows easy access to this valuable information. The book addresses undergraduate and graduate students in meteorological and atmospheric sciences, physical geography, ecology, environmental sciences, agriculture and related disciplines as well as scientists in the process of planning atmospheric measurements in field campaigns or working with data already acquired. Practitioners in environmental agencies and similar institutions will benefit from instrument descriptions and the extended lists in the appendix.' (Publisher)

Author: Richard O. Gilbert
Publisher: John Wiley & Sons
ISBN: 9780471288787
Category : Technology & Engineering
Languages : en
Pages : 354

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Book Description
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 and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.