Data Analysis in Meteorology and Oceanography

Study facts

Course codeGEOF210
ECTS credits10
Teaching semesterSpring
Number of semesters1
Teaching language
English, Norwegian if only Norwegian students.
Study levelPostgraduate Courses
Resources
Belongs toGeophysical Institute

Contact

Contact Information

studierettleiar@gfi.uib.no

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.

Objectives 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.

Teaching Methods and Extent of Organized Teaching

3 hours lecture per week.

Compulsory Assignments and Attendance

Project thesis

(Valid for four semesters: The semester mandatory activities have been approved and the three following semesters.)

Compulsory Assignments and Attendance

Project thesis

Semester of Instruction

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

Semester of Instruction

Spring

Level of Study

Bachelor and master

Learning Outcomes

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

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

Required Previous Knowledge

None.

Required Previous Knowledge

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

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. No auxiliary material allowed for the exam.

Forms of Assessment

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.

Department

Geophysical Institute