701-1253-00L  Analysis of Climate and Weather Data

SemesterAutumn Semester 2023
LecturersC. Frei
Periodicityyearly recurring course
Language of instructionEnglish


701-1253-00 GAnalysis of Climate and Weather Data
This course will be offered in autumn semseter 2023 for the last time.
2 hrs
Thu16:15-18:00HG D 5.2 »
C. Frei

Catalogue data

AbstractAn introduction into methods of statistical data analysis in meteorology and climatology. Applications of hypothesis testing, extreme value analysis, evaluation of deterministic and probabilistic predictions, principal component analysis.
Participants understand the theoretical concepts and purpose of methods, can apply them independently and know how to interpret results professionally.
ObjectiveStudents understand the theoretical foundations and probabilistic concepts of advanced analysis tools in meteorology and climatology. They can conduct such analyses independently, and they develop an attitude of scrutiny and an awareness of uncertainty when interpreting results. Participants improve skills in understanding technical literature that uses modern statistical data analyses.
ContentThe course introduces several advanced methods of statistical data analysis frequently used in meteorology and climatology. It introduces the thoretical background of the methods, illustrates their application with example datasets, and discusses complications from assumptions and uncertainties. Generally, the course shall empower students to conduct data analysis thoughtfully and to interprete results critically.

Topics covered: exploratory methods, hypothesis testing, analysis of climate trends, measuring the skill of deterministic and probabilistic predictions, analysis of extremes, principal component analysis and maximum covariance analysis.

The course is divided into lectures and computer workshops. Hands-on experimentation with example data shall encourage students in the practical application of methods and train professional interpretation of results.

R (a free software environment for statistical computing) will be used during the workshop. A short introduction into R will be provided during the course.
Lecture notesDocumentation and supporting material:
- slides used during the lecture
- excercise sets and solutions
- R-packages with software and example datasets for workshop sessions

All material is made available via the lecture web-page.
LiteratureFor complementary reading:
- Wilks D.S., 2011: Statistical Methods in the Atmospheric Science. (3rd edition). Academic Press Inc., Elsevier LTD (Oxford)
- Coles S., 2001: An introduction to statistical modeling of extreme values. Springer, London. 208 pp.
Prerequisites / NoticePrerequisites: Basics in exploratory data analysis, probability calculus and statistics (incl linear regression) (e.g. Mathematik IV: Statistik (401-0624-00L) and Mathematik VI: Angewandte Statistik für Umweltnaturwissenschaften (701-0105-00L)). Some experience in programming (ideally in R). Some elementary background in atmospheric physics and climatology.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersC. Frei
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 90 minutes
Additional information on mode of examinationBitte beachten Sie, dass die Prüfung noch zweimal angeboten wird: in der Wintersession 2024 und letztmalig im Sommer 2024

Please note that the exam will be offered two more times: in the winter session 2024 and for the last time in the summer 2024
Written aidshandwritten summary, maximum 4 pages (2 sheets)
Distance examinationIt is not possible to take a distance examination.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

Main linkAnalysis of Climate and Weather Data
Only public learning materials are listed.


No information on groups available.


There are no additional restrictions for the registration.

Offered in

Doctorate Environmental SciencesAtmosphere and ClimateWInformation
MAS in Sustainable Water ResourcesFoundation CoursesWInformation
Physics MasterGeneral ElectivesWInformation
Science, Technology, and Policy MasterResources and EnvironmentWInformation
Environmental Sciences MasterHydrology and Water CycleWInformation