Statistical Analysis Of Climate Series

Author : Helmut Pruscha
Publisher : Springer Science & Business Media
Page : 179 pages
File Size : 44,8 Mb
Release : 2012-10-30
Category : Mathematics
ISBN : 9783642320842

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Statistical Analysis of Climate Series by Helmut Pruscha Pdf

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
Page : 213 pages
File Size : 43,7 Mb
Release : 2020
Category : Electronic
ISBN : 9781107033184

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Statistical Analysis of Climate Extremes by Manfred Mudelsee Pdf

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 Science & Business Media
Page : 474 pages
File Size : 52,8 Mb
Release : 2010-08-26
Category : Science
ISBN : 9789048194827

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Climate Time Series Analysis by Manfred Mudelsee Pdf

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 : Hans von Storch,Francis W. Zwiers
Publisher : Cambridge University Press
Page : 498 pages
File Size : 55,5 Mb
Release : 1999-07-15
Category : Mathematics
ISBN : 9780521450713

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Statistical Analysis in Climate Research by Hans von Storch,Francis W. Zwiers Pdf

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 : Hans v. Storch,Antonio Navarra
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 44,6 Mb
Release : 2013-11-11
Category : Science
ISBN : 9783662031674

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Analysis of Climate Variability by Hans v. Storch,Antonio Navarra Pdf

EUROPEAN SCHOOl OF CLiMATOlOGY AND NATURAL HAZARDS The training of scientific and technical personnel and the development of highly qualified scientists are, and have always been, among the important concerns of the European Commission. Advanced training is an important requirement for the implementation of a common EU policy in science and technology. The European School of Climatology and Natural Hazards was started as apart of the training and education activities of the European Programme on Climatology and Natural Hazards (EPOCH), and is continued under the subsequent research programme (ENVIRONMENT 1990-1994). The school consists of annual courses on specialised subjects within re search in climatology and natural hazards, and is open to graduating, grad uate and post graduate students in these fields. Each of the courses is organized in cooperation with a European Institu tion involved in the current research programme, and is aimed at giving to the students formal lectures and participation in informal discussions with leading researchers. The present volume is based on the lectures given at the course held on the island of Elba from the 30th October to the 6th of November 1993 on Statistical Analysis of Climate Variability. It features selected and extended presentations, and represents an important contribution to advanced studies in climate statistical analysis, supplementing more traditional texts. I trust that all those involved in research related to climate change and climate variability will appreciate this work and will benefit from the com prehensive and state-of-the-art information it provides.

Author : Timothy DelSole,Michael Tippett
Publisher : Cambridge University Press
Page : 545 pages
File Size : 40,8 Mb
Release : 2022-02-24
Category : Mathematics
ISBN : 9781108472418

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Statistical Methods for Climate Scientists by Timothy DelSole,Michael Tippett Pdf

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

Author : Zhihua Zhang
Publisher : Springer
Page : 287 pages
File Size : 44,7 Mb
Release : 2017-11-09
Category : Science
ISBN : 9783319673400

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Multivariate Time Series Analysis in Climate and Environmental Research by Zhihua Zhang Pdf

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 : Antonio Navarra,Valeria Simoncini
Publisher : Springer Science & Business Media
Page : 151 pages
File Size : 46,7 Mb
Release : 2010-04-05
Category : Science
ISBN : 9789048137022

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A Guide to Empirical Orthogonal Functions for Climate Data Analysis by Antonio Navarra,Valeria Simoncini Pdf

Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables. A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations and MATLAB codes for the algorithms. All pictures and examples used in the book may be reproduced by using the data sets and the routines available in the book . Though the main thrust of the book is for climatological examples, the treatment is sufficiently general that the discussion is also useful for students and practitioners in other fields. Supplementary datasets are available via http://extra.springer.com

Author : Chester F. Ropelewski,Phillip A. Arkin
Publisher : Cambridge University Press
Page : 391 pages
File Size : 51,6 Mb
Release : 2019-01-17
Category : Nature
ISBN : 9780521896160

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Climate Analysis by Chester F. Ropelewski,Phillip A. Arkin Pdf

Explains how climatologists have come to understand current climate variability and trends through analysis of observations, datasets and models.

Author : Hans von Storch,Francis W. Zwiers
Publisher : Cambridge University Press
Page : 979 pages
File Size : 47,9 Mb
Release : 2002-02-21
Category : Science
ISBN : 9781139425094

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Statistical Analysis in Climate Research by Hans von Storch,Francis W. Zwiers Pdf

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 : Hans von Storch,Francis W. Zwiers
Publisher : Unknown
Page : 499 pages
File Size : 52,7 Mb
Release : 1998
Category : Climatology
ISBN : OCLC:633322511

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Statistical Analysis in Climate Research by Hans von Storch,Francis W. Zwiers Pdf

Author : Victor Privalsky
Publisher : Springer Nature
Page : 253 pages
File Size : 48,7 Mb
Release : 2020-11-22
Category : Science
ISBN : 9783030580551

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Time Series Analysis in Climatology and Related Sciences by Victor Privalsky Pdf

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 : Amir AghaKouchak,David Easterling,Kuolin Hsu,Siegfried Schubert,Soroosh Sorooshian
Publisher : Springer Science & Business Media
Page : 430 pages
File Size : 47,6 Mb
Release : 2012-10-24
Category : Science
ISBN : 9789400744783

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Extremes in a Changing Climate by Amir AghaKouchak,David Easterling,Kuolin Hsu,Siegfried Schubert,Soroosh Sorooshian Pdf

This book provides a collection of the state-of-the-art methodologies and approaches suggested for detecting extremes, trend analysis, accounting for nonstationarities, and uncertainties associated with extreme value analysis in a changing climate. This volume is designed so that it can be used as the primary reference on the available methodologies for analysis of climate extremes. Furthermore, the book addresses current hydrometeorologic global data sets and their applications for global scale analysis of extremes. While the main objective is to deliver recent theoretical concepts, several case studies on extreme climate conditions are provided. Audience The book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences.

Author : Edward Linacre
Publisher : Routledge
Page : 336 pages
File Size : 55,7 Mb
Release : 2003-09-02
Category : Nature
ISBN : 9781134933914

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Climate Data and Resources by Edward Linacre Pdf

The value of applied climatology - the study of the impact of climate - lies in the analysis of measurements and estimates within the context of change. This study provides a review of the theory and practice underlying current climatic research.

Author : Abdelwaheb Hannachi
Publisher : Springer Nature
Page : 600 pages
File Size : 53,8 Mb
Release : 2021-05-06
Category : Science
ISBN : 9783030670733

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Patterns Identification and Data Mining in Weather and Climate by Abdelwaheb Hannachi Pdf

Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.