Data Analysis in Meteorology and Oceanography
Objectives and Content
The course provides a basic introduction to statistical methods commonly applied in analysis of observed a simulated quantities in oceanography and meteorology. This includes descriptive statistic, hypothesis testing, and probability distribution. The course will further contain frequency analysis and filtering of time series, and methods for identifying spatial coherences such as linear regressions, correlation analysis, and empirical orthogonal functions. The theory will be applied on geophysical problems.
Teaching Methods and Extent of Organized Teaching
3 hours lecture per week.
Compulsory Assignments and Attendance
(Valid for four semesters: The semester mandatory activities have been approved and the three following semesters.)
Semester of Instruction
Level of Study
Bachelor and master
Place of Instruction
By the completion of the subject, the student should be able to:
- prepare and systemize observational and model data for statistical analysis, and present the results of the analysis
- compute and discuss basic statistical properties
- perform hypothesis testing
- compute correlations and regressions between time series
- determine the frequency spectrum of a time series
- deduce the spatial structure of data
- synthesize the result of analyzes in a scientific report
Required Previous Knowledge
GEOF105 or equivalent.
Recommended Previous Knowledge
Background in meteorology and/or oceanography; basic training in statistics.
Forms of Assessment
The project thesis must be passed in order to take the exam. The final exam is written, lasting for four hours. If less than 10 students are registered, there might be an oral exam. Auxiliary material allowed for the exam: Calculator: Casio FX-82ES PLUS
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.