Advanced Climate Data Analysis
About
The course introduces students to advanced data analysis methods for so-called "BigData" in climate science, i.e. data with more than three dimensions, stored in many largefiles, typical of remote sensing or climate modelling. These methods are crucial forproject work at the bachelor's and master's levels, but also for applications needed in the job market.
The topics covered are:
- writing a clear algorithm
- using a program (such as Matlab or Python)
- download and load files regardless of their type and format
- creating IF- and FOR-loops to analyse multidimensional climate data
- applying signal processing methods to the climate data in order to examine their spatio-temporal variability
- effective debugging
Prerequisites and selection
Requirements
For admission to the course, students must have read GVN330 Climate Data Analyses, 7,5 credits and at least 60 credits in the main field of Earth Sciences. Students with equivalent course and education can, after review and approval, be admitted to the course.
Selection
Selection is based upon the number of credits from previous university studies, maximum 225 credits.
For admission to the summer 2021 and onward the following selection applies: selection is based upon the number of credits from previous university studies, maximum 165 credits.