Universität Wien

280322 VU Boundary Layer Meteorology (2024S)

Continuous assessment of course work

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. 25 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

UZA II: 2E206

  • Friday 01.03. 08:45 - 10:45 Ort in u:find Details
  • Friday 01.03. 11:00 - 12:00 Ort in u:find Details
  • Friday 08.03. 08:45 - 10:45 Ort in u:find Details
  • Friday 08.03. 11:00 - 12:00 Ort in u:find Details
  • Friday 15.03. 08:45 - 10:45 Ort in u:find Details
  • Friday 15.03. 11:00 - 12:00 Ort in u:find Details
  • Friday 22.03. 08:45 - 10:45 Ort in u:find Details
  • Friday 22.03. 11:00 - 12:00 Ort in u:find Details
  • Friday 12.04. 08:45 - 10:45 Ort in u:find Details
  • Friday 12.04. 11:00 - 12:00 Ort in u:find Details
  • Friday 19.04. 08:45 - 10:45 Ort in u:find Details
  • Friday 19.04. 11:00 - 12:00 Ort in u:find Details
  • Friday 26.04. 08:45 - 10:45 Ort in u:find Details
  • Friday 26.04. 11:00 - 12:00 Ort in u:find Details
  • Friday 03.05. 08:45 - 10:45 Ort in u:find Details
  • Friday 03.05. 11:00 - 12:00 Ort in u:find Details
  • Friday 10.05. 08:45 - 10:45 Ort in u:find Details
  • Friday 10.05. 11:00 - 12:00 Ort in u:find Details
  • Friday 17.05. 08:45 - 10:45 Ort in u:find Details
  • Friday 17.05. 11:00 - 12:00 Ort in u:find Details
  • Friday 24.05. 08:45 - 10:45 Ort in u:find Details
  • Friday 24.05. 11:00 - 12:00 Ort in u:find Details
  • Friday 31.05. 08:45 - 10:45 Ort in u:find Details
  • Friday 31.05. 11:00 - 12:00 Ort in u:find Details
  • Friday 07.06. 08:45 - 10:45 Ort in u:find Details
  • Friday 07.06. 11:00 - 12:00 Ort in u:find Details
  • Friday 14.06. 08:45 - 10:45 Ort in u:find Details
  • Friday 14.06. 11:00 - 12:00 Ort in u:find Details
  • Friday 21.06. 08:45 - 10:45 Ort in u:find Details
  • Friday 21.06. 11:00 - 12:00 Ort in u:find Details
  • Friday 28.06. 08:45 - 10:45 Ort in u:find Details
  • Friday 28.06. 11:00 - 12:00 Ort in u:find Details

Information

Aims, contents and method of the course

The boundary layer (BL) is the layer of the atmosphere nearest to the ground, about 1 km deep. The surface layer (SL), less than 100 m deep, is right above ground. The course begins by describing qualitatively the surface energy balance and the dynamics of atmospheric turbulence, together with their impact on the observed features of the BL and SL. The central topic of the course is the quantitative description of the properties of the SL and BL with scaling laws obtained from dimensional analysis. Finally, the representation of the SL and BL in numerical weather prediction and climate models is discussed. Every few weeks, a hands-on exercise (Python) is proposed. Exercises deal with the analysis of actual measurements and simulation data, or with the implementation of simple theoretical models.

Assessment and permitted materials

VO part (60%): Oral exam, 3 questions, approximately 45 minutes.
UE part (40%): Python scripts and/or notebooks submitted at the end of sessions.

Minimum requirements and assessment criteria

Mininum requirement: Demonstrated understanding of processes in the atmospheric boundary layer and of micrometeorological phenomena.

Oral exam: 3 questions, about 45 minutes. All topics explained during the course may be covered. You get a grade in
the range 0-60.

Exercises: There are 4 exercise sessions in the semester, code must be submitted at the end of each session. For each session
you get a grade in the range 0-10. A list of tasks is given and the final grade is determined by the successfully
completed tasks.

Final grade: The final percent grade (VO+UE) is converted as follows
* Range 91-100: 1
* Range 81-90: 2
* Range 71-80: 3
* Range 60-70: 4

Examination topics

The whole material presented during the lectures.

Reading list

Lecture slides, textbooks (detailed information will be given during the first lecture).

Association in the course directory

PM-GreMet

Last modified: Mo 26.02.2024 14:47