Data Analysis in Meteorology and Oceanography

Aim and Content

The course provides a basic introduction to the statistical methods commonly applied 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.

Learning Outcomes

By the completion of the subject, the student should be able to:

- repare and systemize observational and model data for statistical analysis

- timate basic statistical properties

- perform hypothesis testing

- determine the frequency spectrum of a time series

- deduce the spatial structure of data

- synthesize the result of analyzes in a scientific report

Course offered (semester)

Autumn 2014. From spring 2015 this course will only be taught in the spring semester.

Language of Instruction

English, Norwegian if only Norwegian students.

Pre-requirements

Background in meteorology and/or oceanography; basic training in statistics.

Compulsory Requirements

Project thesis

Assessment methods

The project thesis must be passed in order to take the exam. The final exam, written four hours. If less than 10 students are registered, there might be a oral exam. No auxiliary material allowed for the exam.

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Contact Information

studierettleiar@gfi.uib.no