Universität Wien

280352 VU Climate Data Analysis (2023S)

Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

-

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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)

Art der Leistungskontrolle und erlaubte Hilfsmittel

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

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

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.

Literatur

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

Zuordnung im Vorlesungsverzeichnis

WM-AdvCli

Letzte Änderung: Fr 17.02.2023 19:49