Climate Time Series Analysis PDF Download
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| Author | : Manfred Mudelsee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 497 |
| Release | : 2010-08-26 |
| Genre | : Science |
| ISBN | : 9048194822 |
Download Climate Time Series Analysis Book in PDF, ePub and Kindle
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.
| Author | : Zhihua Zhang |
| Publisher | : Springer |
| Total Pages | : 287 |
| Release | : 2017-11-09 |
| Genre | : Science |
| ISBN | : 3319673408 |
Download Multivariate Time Series Analysis in Climate and Environmental Research Book in PDF, ePub and Kindle
This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation. The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics.
| Author | : Victor Privalsky |
| Publisher | : Springer Nature |
| Total Pages | : 253 |
| Release | : 2020-11-22 |
| Genre | : Science |
| ISBN | : 3030580555 |
Download Time Series Analysis in Climatology and Related Sciences Book in PDF, ePub and Kindle
This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.
| Author | : Helmut Pruscha |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 179 |
| Release | : 2012-10-30 |
| Genre | : Mathematics |
| ISBN | : 3642320848 |
Download Statistical Analysis of Climate Series Book in PDF, ePub and Kindle
The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed. The methodical tools are taken from time series analysis, from periodogram and wavelet analysis, from correlation and principal component analysis, and from categorical data and event-time analysis. The applied models are - among others - the ARIMA and GARCH model, and inhomogeneous Poisson processes. Further, we deal with a number of special statistical topics, e.g. the problem of trend-, season- and autocorrelation-adjustment, and with simultaneous statistical inference. Programs in R and data sets on climate series, provided at the author’s homepage, enable readers (statisticians, meteorologists, other natural scientists) to perform their own exercises and discover their own applications.
| Author | : Manfred Mudelsee |
| Publisher | : Cambridge University Press |
| Total Pages | : 213 |
| Release | : 2020 |
| Genre | : |
| ISBN | : 1107033187 |
Download Statistical Analysis of Climate Extremes Book in PDF, ePub and Kindle
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 | : Manfred Mudelsee |
| Publisher | : Springer |
| Total Pages | : 477 |
| Release | : 2014-06-27 |
| Genre | : Science |
| ISBN | : 3319044508 |
Download Climate Time Series Analysis Book in PDF, ePub and Kindle
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)
| Author | : Chester F. Ropelewski |
| Publisher | : Cambridge University Press |
| Total Pages | : 391 |
| Release | : 2019-01-17 |
| Genre | : Science |
| ISBN | : 1108573371 |
Download Climate Analysis Book in PDF, ePub and Kindle
Sensational images and stories about variations in Earth's climate and their impacts on society are pervasive in the media. The scientific basis for these stories is often not understood by the general public, nor even by those with a scientific background in fields other than climate science. This book is a comprehensive resource that will enable the reader to understand and appreciate the significance of the flood of climate information. It is an excellent non-mathematical resource for learning the fundamentals of climate analysis, as well as a reference for non-climate experts that need to use climate information and data. The focus is on the basics of the climate system, how climate is observed and how the observations are transformed into datasets useful for monitoring the climate. Each chapter contains Discussion Questions. This is an invaluable textbook on climate analysis for advanced students, and a reference textbook for researchers and practitioners.
| Author | : Hans von Storch |
| Publisher | : Cambridge University Press |
| Total Pages | : 979 |
| Release | : 2002-02-21 |
| Genre | : Science |
| ISBN | : 1139425099 |
Download Statistical Analysis in Climate Research Book in PDF, ePub and Kindle
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 | : Deepesh Machiwal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 316 |
| Release | : 2012-03-05 |
| Genre | : Science |
| ISBN | : 9400718616 |
Download Hydrologic Time Series Analysis Book in PDF, ePub and Kindle
There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.
| Author | : Victor Privalsky |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9783030580568 |
Download Time Series Analysis in Climatology and Related Sciences Book in PDF, ePub and Kindle
This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.
