Statistical Methods For Climate Scientists


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Statistical Methods for Climate Scientists


Statistical Methods for Climate Scientists

Author: Timothy DelSole

language: en

Publisher: Cambridge University Press

Release Date: 2022-02-24


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An accessible introduction to statistical methods for students in the climate sciences.

Statistical Analysis in Climate Research


Statistical Analysis in Climate Research

Author: Hans von Storch

language: en

Publisher: Cambridge University Press

Release Date: 2002-02-21


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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 Methods in the Atmospheric Sciences


Statistical Methods in the Atmospheric Sciences

Author: Daniel S. Wilks

language: en

Publisher: Academic Press

Release Date: 2011-05-20


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This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test, and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. The book will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.