Statistics for Weather and Climate Science

Statistics for Weather and Climate Science

Department of Meteorology, University of Reading
30 September 2024 – 31 December 2024
Online
Short course
Online

In this course, you will learn statistical methods and reasoning relevant to environmental science. You'll also gain experience in the proper use of statistics for the analysis of weather and climate data. Practical classes use Python. The topics are:

  • Introduction to statistics: basic concepts, history
  • Exploratory data analysis: summary statistics
  • Forecast verification: skill scores
  • Linear regression: correlation
  • Multiple regression: confounders, causality
  • Time series analysis: autocorrelation
  • Concepts of probability: Bayes theorem
  • Probability distributions: lots of different distributions!
  • Parameter estimation: confidence intervals
  • Hypothesis testing: significance tests, p-value.

There are practical assignments each week (10 in total) and four of these will be assessed.

See website for mathematical and programming prerequisites.

Eligibility

Intermediate (Some prior knowledge of any climate-related field required)

Language/s used in this training

English

Target Audience for the training

Other details

Costs / FeesYes
Funding SupportNo
Certificate of CompletionYes
  • For further queries:
  • Hilary Weller
  • This email address is being protected from spambots. You need JavaScript enabled to view it.

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