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The subject will outline basic statistical methods for analyzing climate dynamics, with the aim of understanding the physical mechanisms driving the observed structures . The subject will start with the principles of decision making in statistical anlaysis (significance tests), will then dicsuss the basics of probability theory, time series, stochastic models and multi-variate data (pattern) analysis. The focus here will not be on deriving statistical parameters, but will rather be on discussing how these methods could be applied and what the potential pitfalls in interpreting the statistical results could be.
Intended learning outcomes
- An ability to calculate and interpret the main modes of variability in the climate system;
- an ability to assess the statistical significance of climate variations and variables and to relate these to inferences about the behaviour of the climate system.
- Developing the ability to exercise critical judgement
- rigorous and independent thinking
- adopting a problem-solving approach to complex or ambiguous questions;
- high-level written report presentation skills; oral communication and presentation skills.
Last updated: 18 December 2020