Statistical Analysis In Climate Research

Author: Hans von Storch
Editor: Cambridge University Press
ISBN: 1139425099
File Size: 41,66 MB
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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.

Statistical Analysis Of Climate Series

Author: Helmut Pruscha
Editor: Springer Science & Business Media
ISBN: 3642320848
File Size: 68,51 MB
Format: PDF
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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

Author:
Editor: Cambridge University Press
ISBN: 1107033187
File Size: 18,32 MB
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Technical Abstract Bulletin

Author: Defense Documentation Center (U.S.)
Editor:
ISBN:
File Size: 31,53 MB
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Scientific And Technical Aerospace Reports

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ISBN:
File Size: 40,69 MB
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Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Research Progress And Plans Of The U S Weather Bureau

Author: United States. Weather Bureau
Editor:
ISBN:
File Size: 73,18 MB
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Meteorological And Geoastrophysical Abstracts

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ISBN:
File Size: 66,59 MB
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Analysis Of Climate Variability

Author: H. von Storch
Editor: Springer Science & Business Media
ISBN: 9783540663157
File Size: 50,65 MB
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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.

Climate Time Series Analysis

Author: Manfred Mudelsee
Editor: Springer
ISBN: 3319044508
File Size: 26,96 MB
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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)

Izvestiya

Author: Akademii︠a︡ nauk SSSR.
Editor:
ISBN:
File Size: 69,74 MB
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A Guide To Empirical Orthogonal Functions For Climate Data Analysis

Author: Antonio Navarra
Editor: Springer Science & Business Media
ISBN: 9789048137022
File Size: 39,79 MB
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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

Physics Of The Environment And Climate

Author: Gérard Guyot
Editor: John Wiley & Son Limited
ISBN:
File Size: 67,26 MB
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Physics of the Environment and Climate Gérard Guyot This introductory text reviews, for the first time in a unified form, information which is generally scattered between more specialized books in physics, meteorology, climatology, ecophysiology, agronomy and instrumental physics. In Physics of the Environment and Climate, Gérard Guyot brings together physical, meteorological, ecological, and agronomical data, with a view to clarifying our understanding of complex global and climatological phenomena relating to the environment. In addition to the intrinsic scientific interest of this subject, it also has important applications in planning and production in agriculture, management of the rural environment, and evaluation of the impact of human activity on our surroundings. The first three chapters analyse energy and mass exchanges within and above the plant canopy and in the upper layers of the soil. They describe also the interaction existing between plant activity (photosynthesis, transpiration, etc.) and environmental factors. The following two chapters introduce the basic knowledge necessary for an understanding of the mechanisms affecting climates at different scales from the synoptic to local microclimates. The utilization of climatic data is then presented. Beginning with statistical analyses, the author leads on to practical applications, such as the determination of climatic risks, climatic and agro-climatic distribution in zones, and crop forecasting. The final chapter reviews the equipment and measurement methods used for the determination of various climatic factors. The broad nature of the book's approach, its inclusion of large-scale processes, explanations of how to measure climatic factors, and their use in solving practical problems in agro-climatology, will give the book immediate appeal. It provides the necessary information for land management planning from an agro-meteorological point of view, and is suitable for the undergraduate student and non-specialist reader with only a basic understanding of physics and mathematics. Readership: Students of agronomy, meteorology, climatology, geography, environmental science, atmospheric physics and environmental physics. Engineers and professionals in many fields such as agriculture, forestry, ecology, the rural environment, and the management of land, water and other natural resources.

Climate Change Research Progress

Author: Lawrence N. Peretz
Editor: Nova Science Pub Incorporated
ISBN:
File Size: 22,60 MB
Format: PDF
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Climate change refers to the variation in the Earth's global climate or in regional climates over time. It describes changes in the variability or average state of the atmosphere over time scales ranging from decades to millions of years. These changes can be caused by processes internal to the Earth, external forces (e.g. variations in sunlight intensity) or, more recently, human activities. In recent usage, especially in the context of environmental policy, the term 'climate change' often refers only to changes in modern climate, including the rise in average surface temperature known as global warming. This new book presents leading-edge research in this fast-moving field.

Climate And Man S Environment

Author: John E. Oliver
Editor: John Wiley & Sons
ISBN:
File Size: 45,13 MB
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Climate and environment. Climate, man, and mans activities. Climates of the past and climatic change.

Climate Change Detection Report

Author:
Editor:
ISBN:
File Size: 19,14 MB
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European Climate Reconstructed From Documentary Data

Author: Burkhard Frenzel
Editor: Fischer Gustav Verlag GmbH & Company KG
ISBN: 9783437307010
File Size: 10,47 MB
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Journal Of The American Statistical Association

Author:
Editor:
ISBN:
File Size: 42,65 MB
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