Time Series Analysis in Meteorology and Climatology - 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 Meteorology and Climatology write by Claude Duchon. This book was released on 2012-02-21. Time Series Analysis in Meteorology and Climatology available in PDF, EPUB and Kindle. Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book. This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation. Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis. Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.
Climate Time Series Analysis
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.
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.
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.
Computational Statistics in Climatology
Computational Statistics in Climatology - 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 Computational Statistics in Climatology write by Ilya Polyak. This book was released on 1996-08-01. Computational Statistics in Climatology available in PDF, EPUB and Kindle. Scientific descriptions of the climate have traditionally been based on the study of average meteorological values taken from different positions around the world. In recent years however it has become apparent that these averages should be considered with other statistics that ultimately characterize spatial and temporal variability. This book is designed to meet that need. It is based on a course in computational statistics taught by the author that arose from a variety of projects on the design and development of software for the study of climate change, using statistics and methods of random functions.
