Level of Study
Spring, the course will only be taught if enough students enrol.
Enrolment to this course is based on application. Application deadline is Thursday in week 2 for the spring semester.
Please, see this page for more information: https://www.uib.no/en/matnat/53431/admission-courses-limited-capacity
Objectives and Content
The aim of the course is to give a basic knowledge of how different remote sensing techniques in the active and passive microwave domain are used in oceanography and sea ice research and monitoring.
A detailed introduction is given on how measurement of electromagnetic radiation in the microwave domain, both passive and active, is used to detect and quantify ocean surface and sea ice variables. Among these variables are near surface wind and surface waves, surface current and current features, sea level, surface temperature, surface salinity, sea ice drift and extent. The theory and empirical relationship for the measurements is given, with special emphasis on the interaction of the electromagnetic radiation with the ocean and sea ice surfaces. In so doing the different techniques and sensor types that are common in the passive and active microwave frequency domains are also addressed and characterized.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
- understand the principles and basic methods of satellite remote sensing in the active and passive microwave frequency domains for ocean and sea ice observations.
- understand how various part of the electromagnetic wave spectrum observe different oceanographic and sea ice quantities.
- understand the theory and empirical relationship for the dominant interactive processes between the electromagnetic microwaves and the ocean and sea ice surface.
- understand the strength and weaknesses of the passive microwave remote sensing methods.
- is able to explain and specify the ocean and sea ice variables that are detected by remote sensing instruments operating in the various part of the passive and active microwave frequency domains.
- is able to discuss and characterize how the electromagnetic waves are interacting with the ocean and sea ice surfaces.
- can discuss the interactions between the electromagnetic radiation and the ocean and sea ice surfaces;
- can use the knowledge of different remote sensing techniques in the active and passive microwave domains to obtain relevant knowledge about the upper ocean and sea ice condition;
- is able to outline oceanographic and sea ice knowledge that has strengthened from the use of satellite remote sensing in the microwave frequency domains.
- is able to explore satellite-based data repositories.
Required Previous Knowledge
Bachelor's degree in Meteorology and Oceanography, Bachelor's degree in Climate, Atmosphere and Ocean Physics in addition to GEOF 310 Turbulence in the Atmospheric and Ocean Boundary Layer, or equivalent.
Recommended Previous Knowledge
Access to the Course
Access to the course requires admission to a master's programme at The Faculty of Mathematics and Natural Sciences.
Teaching and learning methods
The course is based on regular lectures according to given curriculum.
Is also providing demonstration on use of satellite data repositories for studies of ocean- and sea ice related state conditions and changes.
3-4 hours per week
In total 12-13 weeks
Forms of Assessment
Examination Support Material
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.
The reading list will be available within June 1st for the autumn semester and January 1st for the spring semester.
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department.
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.