Statistical Analysis in Climate Research
Nonfiction, Science & Nature, Science, Other Sciences, Meteorology
| Author: | Hans von Storch, Francis W. Zwiers | ISBN: | 9781107084445 |
| Publisher: | Cambridge University Press | Publication: | February 21, 2002 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Hans von Storch, Francis W. Zwiers |
| ISBN: | 9781107084445 |
| Publisher: | Cambridge University Press |
| Publication: | February 21, 2002 |
| Imprint: | Cambridge University Press |
| Language: | English |
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.
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.
