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.
An accessible introduction to statistical methods for students in the climate sciences.
This book provides an accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk.
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.
The book presents the application of statistical methods to climatological data on temperature and precipitation.
This makes the book self-contained for graduate students and researchers. Manfred Mudelsee received his diploma in Physics from the University of Heidelberg and his doctoral degree in Geology from the University of Kiel.
This book presents the main approaches and describes their underlying assumptions, skill and limitations. Guidelines for the application of downscaling and the use of downscaled information in practice complete the volume.
Bretherton, C.S., C. Smith, J.M. Wallace, 1992. An intercomparison of methods for finding coupled patterns in climate data. ... Brocker, J., and L.A. Smith, 2007a. Scoring probabilistic forecasts: the importance of being proper.
This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed.
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.
This book provides an overview of modern statistical techniques that may be relevant in problems of this nature.