Climate Time Series Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Climate Time Series Analysis write by Manfred Mudelsee. This book was released on 2010-08-26. Climate Time Series Analysis available 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.
Multivariate Time Series Analysis in Climate and Environmental Research
Multivariate Time Series Analysis in Climate and Environmental Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multivariate Time Series Analysis in Climate and Environmental Research write by Zhihua Zhang. This book was released on 2017-11-09. Multivariate Time Series Analysis in Climate and Environmental Research available 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.
Time Series Analysis in Climatology and Related Sciences
Time Series Analysis in Climatology and Related Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time Series Analysis in Climatology and Related Sciences write by Victor Privalsky. This book was released on 2020-11-22. Time Series Analysis in Climatology and Related Sciences available 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.
Statistical Analysis of Climate Series
Statistical Analysis of Climate Series - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Climate Series write by Helmut Pruscha. This book was released on 2012-10-30. Statistical Analysis of Climate Series available 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.
Statistical Analysis of Climate Extremes
Statistical Analysis of Climate Extremes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Climate Extremes write by Manfred Mudelsee. This book was released on 2020. Statistical Analysis of Climate Extremes available 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.
