280352 VU Climate Data Analysis (2024S)

5.00 ECTS (3.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und

Continuous assessment of course work

Moodle

Th 23.05. 12:15-15:15 Ort in u:find Details

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).

Registration is open from Mo 05.02.2024 00:00 to Tu 27.02.2024 23:59
Registration is open from Th 29.02.2024 00:00 to We 06.03.2024 23:59
Deregistration possible until Su 31.03.2024 23:59

Details

max. 15 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

UZA II: 2G542

    
    Thursday
    07.03.
    12:15 - 15:15
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    Thursday
    07.03.
    15:30 - 16:30
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    Thursday
    14.03.
    12:15 - 15:15
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    Thursday
    14.03.
    15:30 - 16:30
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    Thursday
    21.03.
    12:15 - 15:15
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    Thursday
    21.03.
    15:30 - 16:30
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    Thursday
    11.04.
    12:15 - 15:15
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    Thursday
    11.04.
    15:30 - 16:30
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    Thursday
    18.04.
    12:15 - 15:15
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    Thursday
    18.04.
    15:30 - 16:30
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    Thursday
    25.04.
    12:15 - 15:15
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    Thursday
    25.04.
    15:30 - 16:30
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    Thursday
    02.05.
    12:15 - 15:15
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    Thursday
    02.05.
    15:30 - 16:30
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    Thursday
    16.05.
    12:15 - 15:15
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    Thursday
    16.05.
    15:30 - 16:30
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    N
    Thursday
    23.05.
    12:15 - 15:15
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    Thursday
    23.05.
    15:30 - 16:30
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    Thursday
    06.06.
    12:15 - 15:15
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    Thursday
    06.06.
    15:30 - 16:30
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    Thursday
    13.06.
    12:15 - 15:15
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    Thursday
    13.06.
    15:30 - 16:30
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    Thursday
    20.06.
    12:15 - 15:15
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    Thursday
    20.06.
    15:30 - 16:30
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    Thursday
    27.06.
    12:15 - 15:15
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    Thursday
    27.06.
    15:30 - 16:30
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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: We 21.02.2024 11:06