Universität Wien

280351 VU Climate Dynamics and Diagnostics (2022W)

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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. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

UZA II: Room 2F513 for both lectures and exercises

Lectures: Mo 10-12 (2 hour blocks with brief break after 1 hour)
Exercises: Thu 8:30-10:30

First lecture on Mo, October 3, 2022

  • Monday 03.10. 10:00 - 12:00 Ort in u:find Details
  • Thursday 06.10. 08:30 - 10:30 Ort in u:find Details
  • Monday 10.10. 10:00 - 12:00 Ort in u:find Details
  • Thursday 13.10. 08:30 - 10:30 Ort in u:find Details
  • Monday 17.10. 10:00 - 12:00 Ort in u:find Details
  • Thursday 20.10. 08:30 - 10:30 Ort in u:find Details
  • Monday 24.10. 10:00 - 12:00 Ort in u:find Details
  • Thursday 27.10. 08:30 - 10:30 Ort in u:find Details
  • Monday 31.10. 10:00 - 12:00 Ort in u:find Details
  • Thursday 03.11. 08:30 - 10:30 Ort in u:find Details
  • Monday 07.11. 10:00 - 12:00 Ort in u:find Details
  • Thursday 10.11. 08:30 - 10:30 Ort in u:find Details
  • Monday 14.11. 10:00 - 12:00 Ort in u:find Details
  • Thursday 17.11. 08:30 - 10:30 Ort in u:find Details
  • Monday 21.11. 10:00 - 12:00 Ort in u:find Details
  • Thursday 24.11. 08:30 - 10:30 Ort in u:find Details
  • Monday 28.11. 10:00 - 12:00 Ort in u:find Details
  • Thursday 01.12. 08:30 - 10:30 Ort in u:find Details
  • Monday 05.12. 10:00 - 12:00 Ort in u:find Details
  • Monday 12.12. 10:00 - 12:00 Ort in u:find Details
  • Thursday 15.12. 08:30 - 10:30 Ort in u:find Details
  • Monday 09.01. 10:00 - 12:00 Ort in u:find Details
  • Thursday 12.01. 08:30 - 10:30 Ort in u:find Details
  • Monday 16.01. 10:00 - 12:00 Ort in u:find Details
  • Thursday 19.01. 08:30 - 10:30 Ort in u:find Details
  • Monday 23.01. 10:00 - 12:00 Ort in u:find Details
  • Thursday 26.01. 08:30 - 10:30 Ort in u:find Details
  • Monday 30.01. 10:00 - 12:00 Ort in u:find Details

Information

Aims, contents and method of the course

The course consists of weekly lectures and exercies.

The lectures are structured into two parts. The first part will be given by Aiko Voigt and will treat the following topics: spatial patterns of surface warming; relative humidity and precipitation in today's climate and their response to warming; energetic framework of the ITCZ; carbon budgets and their relevance for the Paris agreement and extreme events; bistability and hysteresis of the Earth system.

The second part will be given by Leo Haimberger and will treat topics related to climate diagnostics. It will cover the analysis of stochastic processes, requirements for climate observations, properties of climate reaalysis products, EOF analysis, mass and enthalpy budgets and climate change attribution (optimal fingerprints).

The exercises will be based on the respective lecture units. They will consist of both pure computational tasks and programming tasks on the TeachingHub. The exercise assignments are designed to help students understand and apply the contents of the lecture.

Assessment and permitted materials

For each of the two lecture parts, a separate oral examination will be done.

The exercise part will be graded according to the exercise sheets. The course is structured as "Kreuzerlübungen". The students work on the exercises at home and indicate the number of completed tasks on the Moodle page. In addition, students must be able to present the solutions to the tasks in front of the class.

Minimum requirements and assessment criteria

The final grade will be calculated as follows:

40% exercise grading
30% oral examination of first lecture part by Aiko Voigt
30% oral examination of second lecture part by Leo Haimberger

Each of the three components need to be completed.

To pass the exercise part, at least 50% of the tasks must be ticked and at least two blackboard performances must be completed positively.

Examination topics

For the two oral examinations: entire content of the respective lecture part

Reading list

Provided as part of the lectures

Association in the course directory

PM-ClimDynDia

Last modified: Th 11.05.2023 11:28