Climate Data Applications
About
Climate data applications are conceptually-based, semi-empirical models which link weather conditions to particular events that effect society or the environment. They are the basis for turning climate knowledge into a useful application, for operational planning or risk calculations. The course shows how to create such models using real world examples, covering for example surface hydrology, urban air quality or agricultural systems.
Prerequisites and selection
Requirements
For admission to the course, ability to perform data analysis corresponding to GV2500 Data Analysis for Earth Sciences, 7,5 credits, or GVN330 Cimate Data Analyses, 7,5 credits, is required.
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.