EAE4020 - Statistics for climate dynamics - 2019

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate, Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.



Organisational Unit

School of Earth, Atmosphere and Environment

Chief examiner(s)

Associated Professor Dietmar Dommenget


Associated Professor Dietmar Dommenget

Unit guides



  • First semester 2019 (On-campus)


Enrolment in the Master of Science




The unit will discuss some basic statistical methods for analysing climate dynamics with the aim of understanding the physical mechanisms driving the observed structures (statistics). The unit will start with a discussion on the basics of probability theory, time series analysis, stochastic models and multivariate data (pattern) analysis. It will then focus on the principles of decision making in statistical analysis (significance tests), which is followed by a discussion of the pitfalls and general strategies in statistical analysis. The unit will not focus on deriving statistical parameters, but rather will emphasise how these methods can be applied and will discuss the potential pitfalls in interpreting statistical results.


On completion of this unit students will be able to:

  1. Do a statistical analysis on probability distributions, time series, and multivariate data.
  2. Apply standard statistical methods in climate dynamics data analysis.
  3. Interpret the outcomes of the statistical analysis in the context of climate dynamics.
  4. Read, understand and critically analyse the scientific literature on data analysis in climate dynamics.


Examination (2 hours): 50%

Assignments: 50%

Workload requirements

A total of 12 hours per week comprising:

  • Two 1-hour lectures per week
  • One 1-hour laboratory per week
  • 3 hours working on assignments
  • 6 hours of independent study

See also Unit timetable information

This unit applies to the following area(s) of study

Master of Science in Atmospheric Science