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Author : Chester F. Ropelewski,Phillip A. Arkin
Publisher : Cambridge University Press
Page : 391 pages
File Size : 52,9 Mb
Release : 2019-01-17
Category : Nature
ISBN : 9780521896160
Explains how climatologists have come to understand current climate variability and trends through analysis of observations, datasets and models.
Author : Manfred Mudelsee
Publisher : Springer Science & Business Media
Page : 474 pages
File Size : 46,6 Mb
Release : 2010-08-26
Category : Science
ISBN : 9789048194827
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 : Manfred Mudelsee
Publisher : Cambridge University Press
Page : 213 pages
File Size : 42,7 Mb
Release : 2020
Category : Electronic
ISBN : 9781107033184
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 : Benoit Morel
Publisher : Springer
Page : 160 pages
File Size : 44,5 Mb
Release : 2019-06-12
Category : Business & Economics
ISBN : 9783030120610
This book sets out to reframe the theory of real options so that it can be used to support environmental investments for climate change adaptation and mitigation. Climate change policy often involves making decisions that concern extended time periods, and doing so under considerable uncertainty. By expanding and broadening the framework of real options, this book first introduces readers to new ways of quantifying investment decisions that can much more effectively address the shape and size of the uncertainty than traditional approaches using Net Present Value. In turn, the second part of the book applies this new theoretical framework to climate change policy by presenting a number of examples, and by providing a general perspective on investment decisions related to climate change and how to prioritize them.
Author : Zhihua Zhang
Publisher : Springer
Page : 287 pages
File Size : 43,5 Mb
Release : 2017-11-09
Category : Science
ISBN : 9783319673400
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 : Helmut Pruscha
Publisher : Springer Science & Business Media
Page : 179 pages
File Size : 51,5 Mb
Release : 2012-10-30
Category : Mathematics
ISBN : 9783642320842
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 : Antonio Navarra,Valeria Simoncini
Publisher : Springer Science & Business Media
Page : 151 pages
File Size : 40,6 Mb
Release : 2010-04-05
Category : Science
ISBN : 9789048137022
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 : Hans von Storch,Francis W. Zwiers
Publisher : Cambridge University Press
Page : 498 pages
File Size : 45,9 Mb
Release : 1999-07-15
Category : Mathematics
ISBN : 9780521450713
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 : Food and Agriculture Organization of the United Nations
Publisher : Food & Agriculture Org.
Page : 78 pages
File Size : 55,8 Mb
Release : 2023-09-06
Category : Science
ISBN : 9789251380666
This technical report examines the connection between climate change and livestock, focusing on the impacts on livestock production systems. The study explores various methodologies from the literature and analyses their application in a practical test case in the Lao People's Democratic Republic. The assessment estimates direct and indirect effects of climate change on the livestock sector by focusing on three main methodologies retrieved from the scientific literature and applied to the specific case of Lao People's Democratic Republic. The results reveal significant effects of climate change on cattle and buffaloes, the main ruminant species in the country. The findings showed significant losses in Lao People's Democratic Republic production due to heat stress affecting dry matter intake. For instance, under the representative concentration pathway 2.6 scenario, the analysis estimated a 19 percent loss in meat production and a 18 percent loss in milk production by 2085. The thermal-humidity index, used as a proxy for milk production estimation, yielded similar results. On a positive note, the study revealed that the carrying capacity and the number of potential livestock units are expected to increase from 2020 to 2080, counteracting some of the negative effects of climate change induced by heat stress. The proposed methodologies can be combined to provide a comprehensive understanding of the current and future state of the livestock population and production. While the effects may vary in different regions and production systems, the report emphasizes the importance of implementing strategies to mitigate climate change impacts. Overall, this report provides crucial information for policymakers and agencies involved with the livestock sector to guide interventions and address the challenges posed by climate change.
Author : GREGERS. ANDERSEN
Publisher : Routledge
Page : 154 pages
File Size : 40,7 Mb
Release : 2021-06-30
Category : Electronic
ISBN : 1032088796
Climate Fiction and Cultural Analysis argues that the popularity of the term "climate fiction" has paradoxically exhausted the term's descriptive power and that it has developed into a black box containing all kinds of fictions which depict climatic events and has consequently lost its true significance. Aware of the prospect of ecological collapse as well as our apparent inability to avert it, we face geophysical changes of drastic proportions that severely challenge our ability to imagine the consequences. This book argues that this crisis of imagination can be partly relieved by climate fiction, which may help us comprehend the potential impact of the crisis we are facing. Strictly assigning "climate fiction" to fictions that incorporate the climatological paradigm of anthropogenic global warming into their plots, this book sets out to salvage the term's speculative quality. It argues that climate fiction should be regarded as no less than a vital supplement to climate science, because climate fiction makes visible and conceivable future modes of existence within worlds not only deemed likely by science, but which are scientifically anticipated. Focusing primarily on English and German language fictions, Climate Fiction and Cultural Analysis shows how Western climate fiction sketches various affective and cognitive relations to the world in its utilization of a small number of recurring imaginaries, or imagination forms. This book will be of great interest to students and scholars of ecocriticism, the environmental humanities, and literary and culture studies more generally.
Author : H. von Storch,A. Navarra
Publisher : Springer Science & Business Media
Page : 368 pages
File Size : 54,5 Mb
Release : 1999-10-20
Category : Nature
ISBN : 3540663150
Various problems in climate research, which require the use of advanced statistical techniques, are considered in this book. The examples emphasize the notion that the knowledge of statistical techniques alone is not sufficient. Good physical understanding of the specific problems in climate research is needed to guide the researcher in choosing the right approach to obtain meaningful answers. The second edition of this book, originally based on contributions given during a school sponsored by the European Union on the Italian island of Elba, continues to be based on these general principles. The general outline has been kept the same, covering aspects such as the examination of the observational record, stochastic climate models, analytical techniques, e.g. EOF, teleconnections and so on, but the chapters have been revised and updated, in some cases extensively, to cover the advances in the field in the years since the first edition.
Author : National Research Council,Division of Behavioral and Social Sciences and Education,Board on Environmental Change and Society,Committee on Assessing the Impacts of Climate Change on Social and Political Stresses
Publisher : National Academies Press
Page : 253 pages
File Size : 54,9 Mb
Release : 2013-02-14
Category : Science
ISBN : 9780309278560
Climate change can reasonably be expected to increase the frequency and intensity of a variety of potentially disruptive environmental events-slowly at first, but then more quickly. It is prudent to expect to be surprised by the way in which these events may cascade, or have far-reaching effects. During the coming decade, certain climate-related events will produce consequences that exceed the capacity of the affected societies or global systems to manage; these may have global security implications. Although focused on events outside the United States, Climate and Social Stress: Implications for Security Analysis recommends a range of research and policy actions to create a whole-of-government approach to increasing understanding of complex and contingent connections between climate and security, and to inform choices about adapting to and reducing vulnerability to climate change.
Author : Zhihua Zhang,John C. Moore
Publisher : Elsevier
Page : 494 pages
File Size : 52,6 Mb
Release : 2014-12-06
Category : Science
ISBN : 9780128005835
Mathematical and Physical Fundamentals of Climate Change is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. Mathematical and Physical Fundamentals of Climate Change provides a solid foundation in math and physics with which to understand global warming, natural climate variations, and climate models. This book informs the future users of climate models and the decision-makers of tomorrow by providing the depth they need. Developed from a course that the authors teach at Beijing Normal University, the material has been extensively class-tested and contains online resources, such as presentation files, lecture notes, solutions to problems and MATLab codes. Includes MatLab and Fortran programs that allow readers to create their own models Provides case studies to show how the math is applied to climate research Online resources include presentation files, lecture notes, and solutions to problems in book for use in classroom or self-study
Author : Hans v. Storch,Antonio Navarra
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 41,6 Mb
Release : 2013-11-11
Category : Science
ISBN : 9783662031674
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 : Zhihua Zhang
Publisher : Unknown
Page : 344 pages
File Size : 44,9 Mb
Release : 2019-12
Category : Electronic
ISBN : 9780128187036
Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying climate change from a number of disciplines, including the atmospheric sciences, oceanic sciences, geography, environment sciences, ecology, energy, economics, engineering and public policy. Provides a step-by-step guide for applying big data mining tools to climate and environmental research Presents a comprehensive review of theory and algorithms of big data mining for climate change Includes current research in climate and environmental science as it relates to using big data algorithms