Statistical Methods for Climate Scientists
eBook - PDF

Statistical Methods for Climate Scientists

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistical Methods for Climate Scientists

About this book

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessible textbook and reference for students and early-career researchers in the climate sciences.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Statistical Methods for Climate Scientists by Timothy DelSole,Michael Tippett in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Meteorology & Climatology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Endorsement page
  4. Title page
  5. Copyright information
  6. Contents
  7. Preface
  8. 1 Basic Concepts in Probability and Statistics
  9. 2 Hypothesis Tests
  10. 3 Confidence Intervals
  11. 4 Statistical Tests Based on Ranks
  12. 5 Introduction to Stochastic Processes
  13. 6 The Power Spectrum
  14. 7 Introduction to Multivariate Methods
  15. 8 Linear Regression: Least Squares Estimation
  16. 9 Linear Regression: Inference
  17. 10 Model Selection
  18. 11 Screening: A Pitfall in Statistics
  19. 12 Principal Component Analysis
  20. 13 Field Significance
  21. 14 Multivariate Linear Regression
  22. 15 Canonical Correlation Analysis
  23. 16 Covariance Discriminant Analysis
  24. 17 Analysis of Variance and Predictability
  25. 18 Predictable Component Analysis
  26. 19 Extreme Value Theory
  27. 20 Data Assimilation
  28. 21 Ensemble Square Root Filters
  29. Appendix
  30. References
  31. Index