Universität Wien

280352 VU Climate Data Analysis (2024S)

Prüfungsimmanente Lehrveranstaltung
Do 18.04. 12:15-15:15 Ort in u:find Details

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

UZA II: 2G542

Donnerstag 07.03. 12:15 - 15:15 Ort in u:find Details
Donnerstag 07.03. 15:30 - 16:30 Ort in u:find Details
Donnerstag 14.03. 12:15 - 15:15 Ort in u:find Details
Donnerstag 14.03. 15:30 - 16:30 Ort in u:find Details
Donnerstag 21.03. 12:15 - 15:15 Ort in u:find Details
Donnerstag 21.03. 15:30 - 16:30 Ort in u:find Details
Donnerstag 11.04. 12:15 - 15:15 Ort in u:find Details
Donnerstag 11.04. 15:30 - 16:30 Ort in u:find Details
Donnerstag 18.04. 15:30 - 16:30 Ort in u:find Details
Donnerstag 25.04. 12:15 - 15:15 Ort in u:find Details
Donnerstag 25.04. 15:30 - 16:30 Ort in u:find Details
Donnerstag 02.05. 12:15 - 15:15 Ort in u:find Details
Donnerstag 02.05. 15:30 - 16:30 Ort in u:find Details
Donnerstag 16.05. 12:15 - 15:15 Ort in u:find Details
Donnerstag 16.05. 15:30 - 16:30 Ort in u:find Details
Donnerstag 23.05. 12:15 - 15:15 Ort in u:find Details
Donnerstag 23.05. 15:30 - 16:30 Ort in u:find Details
Donnerstag 06.06. 12:15 - 15:15 Ort in u:find Details
Donnerstag 06.06. 15:30 - 16:30 Ort in u:find Details
Donnerstag 13.06. 12:15 - 15:15 Ort in u:find Details
Donnerstag 13.06. 15:30 - 16:30 Ort in u:find Details
Donnerstag 20.06. 12:15 - 15:15 Ort in u:find Details
Donnerstag 20.06. 15:30 - 16:30 Ort in u:find Details
Donnerstag 27.06. 12:15 - 15:15 Ort in u:find Details
Donnerstag 27.06. 15:30 - 16:30 Ort in u:find Details

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: Mi 21.02.2024 11:06