814029 Interfacing climate and climate impact models

Lecture and exercise
Semester hours
Lecturer (assistant)
Formayer, Herbert , Leidinger, David
Offered in
Wintersemester 2022/23
Languages of instruction


The course gives a comprehensive understanding of the skills and limitations of regional climate scenarios. It gives an overview of statistical methods to bias correct and localize climate scenarios using observational data. Tools for handling typical data formats like NetCDF are introduced. The preparation of meteorological input data from climate scenario for different impact models is exercised in specific case studies

Previous knowledge expected


Objective (expected results of study and acquired competences)

The students have an in-depth understanding of the skills and limitations of regional climate models.
They see the necessity of statistical bias correction and know common techniques.
The students are able to work with typical data formats of climate scenarios and can make simple manipulations like plotting or data extraction .
You can find more details like the schedule or information about exams on the course-page in BOKUonline.