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 specialized 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.
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"...a wonderful reference to better understand the state of the art of climatological modeling." Environmental Geology
Book Description
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 comprehensive 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. 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.
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2 of 2 people found the following review helpful:
5.0 out of 5 stars
Great statistics book for geophysists,
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This review is from: Statistical Analysis in Climate Research (Paperback)
I am a phd-student in spacephysics. "Statistical analysis in Climate Research" is the statistics book which has been most relevant for me that I have read until this time. The information density is very high in this book. It is necessary with some prior knowledge about statistics to read this book. It does not contain any proofs, but many references to other books. The most important thing about this book for me is that it provides solutions to many of the problems one encounter when analyzing data in geophysics. Especially good is it that it discuss situations where the "ideal" assumptions used in normal statistics books are not fulfilled.
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Inside This Book
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First Sentence:
Climatology was originally a sub-discipline of geography, and was therefore mainly descriptive (see, e.g., Bruckner [70], Hann [155], or Hann and Knoch [156]). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
canonical correlation patterns, complexified process, correlation skill score, propagating variance, bivariate periodogram, local null hypotheses, adjoint patterns, field significance tests, westward travelling waves, categorical forecasts, local null hypothesis, wave variance, variance leakage, bivariate index, coherency spectrum, principal interaction patterns, anomaly correlation coefficient, season dependence, principal oscillation patterns, decorrelation time, stochastic climate models, persistence forecast, guess patterns, coefficient time series, recurrence analysis Key Phrases - Capitalized Phrases (CAPs): (learn more)
Southern Oscillation, Northern Hemisphere, Monte Carlo, North Atlantic, Empirical Orthogonal Functions, Central Limit Theorem, Frequency Figure, Madden-and-Julian Oscillation, General Circulation Model, Mexican Hat, National Meteorological Center, North Sea, Specific Statistical Concepts, North American, North Pacific, Principal Oscillation Patterns, Singular Systems Analysis, Southern Hemisphere, West Glacier, Analysis of Atmospheric Circulation Problems, Complex Eigentechniques, Forecast Quality Evaluation, West Pacific, German Bight, North's Rule-of-Thumb New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Climatology was originally a sub-discipline of geography, and was therefore mainly descriptive (see, e.g., Bruckner [70], Hann [155], or Hann and Knoch [156]). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
canonical correlation patterns, complexified process, correlation skill score, propagating variance, bivariate periodogram, local null hypotheses, adjoint patterns, field significance tests, westward travelling waves, categorical forecasts, local null hypothesis, wave variance, variance leakage, bivariate index, coherency spectrum, principal interaction patterns, anomaly correlation coefficient, season dependence, principal oscillation patterns, decorrelation time, stochastic climate models, persistence forecast, guess patterns, coefficient time series, recurrence analysis Key Phrases - Capitalized Phrases (CAPs): (learn more)
Southern Oscillation, Northern Hemisphere, Monte Carlo, North Atlantic, Empirical Orthogonal Functions, Central Limit Theorem, Frequency Figure, Madden-and-Julian Oscillation, General Circulation Model, Mexican Hat, National Meteorological Center, North Sea, Specific Statistical Concepts, North American, North Pacific, Principal Oscillation Patterns, Singular Systems Analysis, Southern Hemisphere, West Glacier, Analysis of Atmospheric Circulation Problems, Complex Eigentechniques, Forecast Quality Evaluation, West Pacific, German Bight, North's Rule-of-Thumb New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 53
books:
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21
books
cite this book:
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- Analysis of Climate Variability: Applications of Statistical Techniques by H. von Storch on 4 pages
- Santa Barbara by David Muench on page 357, page 358, and Back Matter
- Santa Barbara by Barnaby Conrad on page 357, page 358, and Back Matter
- Statistical Inference by Clifford Springer in Back Matter (1), and Back Matter (2)
- The Spectral Analysis of Time Series (Probability and Mathematical Statistics) by Lambert H. Koopmans in Back Matter
See all 53 books this book cites
- Analysis of Climate Variability: Applications of Statistical Techniques by H. von Storch on page 11, and Back Matter
- Detecting and Modelling Regional Climate Change by Manola Brunet India on page 367, and page 396
- Solar Activity and Earth's Climate by Rasmus E. Benestad in Back Matter
- The Science of Disasters by Armin Bunde on page 5
- Soft Computing: Methodologies and Applications (Advances in Soft Computing) (Advances in Intelligent and Soft Computing) by Frank Hoffmann on page 162
See all 21 books citing this book
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