Universität Wien

280352 VU Climate Data Analysis (2023S)

5.00 ECTS (3.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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  • Wednesday 01.03. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 06.03. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 08.03. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 15.03. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 20.03. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 22.03. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 27.03. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 29.03. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 17.04. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 19.04. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 24.04. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 26.04. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 03.05. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 08.05. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 10.05. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 15.05. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 17.05. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 22.05. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 24.05. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 31.05. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 05.06. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 07.06. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 12.06. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 14.06. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 19.06. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 21.06. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Monday 26.06. 11:00 - 13:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II
  • Wednesday 28.06. 11:00 - 12:00 Praktikumsraum Meteorologie 2F513 5.OG UZA II

Information

Aims, contents and method of the course

After this course, students will have used data represented in spectral space and on non-uniform grids (Gaussian, ORCA). They will have learned to assess the homogeneity of climate time series. They will use variational methods to enforce the mass continuity equation as well as for enforcing balanced budgets over a region.
They assess uncertainties of climate model ensembles and they will use advanced time series analysis methods (Singular spectrum analysis)

Assessment and permitted materials

Ipython exercise sheets will be distributed. Students must return 80% of problems. They must explain their solutions before their colleagues for at least 2 problems.
Grading: 30% written solutions, 25% explanation, 45% oral exam at the end of semester

Minimum requirements and assessment criteria

Overall they must 50% of the maximum achievable points, summed over all three grading criteria

Examination topics

For the oral exam, the content of the distributed slides should be known by the students.
During the exam, they will also solve a simple problem with climate data in an ipython notebook to demonstrate their proficiency in data analysis.
A submitted solution of a problem in the exercises will be counted if at least one subproblem has been successfully solved.
In the oral presentation in the exercises they must demonstrate that they really have understood the solution and should be able to answer questions regarding the solution.

Reading list

Mudelsee: Climate Data Analysis
Storch+Zwiers: Statistical Analysis in climate research

Association in the course directory

WM-AdvCli

Last modified: Fr 17.02.2023 19:49