280353 UE PM-MDyn Exercise course in Mesoscale Dynamics (PI) (2018W)
Continuous assessment of course work
Labels
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 We 12.09.2018 10:00 to We 26.09.2018 23:59
- Registration is open from Mo 01.10.2018 10:00 to We 17.10.2018 23:59
- Deregistration possible until We 17.10.2018 23:59
Details
Information
Aims, contents and method of the course
Assessment and permitted materials
Note
≤50 % 5
from 50 to 62 % 4
from 63 to 75 % 3
from 76 to 88 % 2
from 89 to 100 % 1
≤50 % 5
from 50 to 62 % 4
from 63 to 75 % 3
from 76 to 88 % 2
from 89 to 100 % 1
Minimum requirements and assessment criteria
Active participation, discussuion, homework assignment 10 %
Written proposals, presentations and experimental numerical work 15 %
Midterm Exam 35 %
Final Exam 40 %
Total 100 %
Written proposals, presentations and experimental numerical work 15 %
Midterm Exam 35 %
Final Exam 40 %
Total 100 %
Examination topics
Course content:
Definition of the mesoscale (Energy cascade, Scale interactions, Scale analysis)
Basic equations and methods (Laboratory exercises-method of linearization, numerical techniques, numerical forecast of some mesoscale phenomena, numerical efficienc, stability)
Deep convection (clous model tutorial, laboratory exercises, numerical simulation of convective studies, simulation of supercell storm over Viena, practical work in recognition various convective types).
Mesoscale instabilities (Exercises for various types of mesoscale instability, Numerical experimentation and research analysis)
Orographic mesoscale phenomena and orographic precipitation (Detail examination of each selected orographic mesoscale phenomena based on physical parameters and dimensionless numbers, numerical and research work)
Definition of the mesoscale (Energy cascade, Scale interactions, Scale analysis)
Basic equations and methods (Laboratory exercises-method of linearization, numerical techniques, numerical forecast of some mesoscale phenomena, numerical efficienc, stability)
Deep convection (clous model tutorial, laboratory exercises, numerical simulation of convective studies, simulation of supercell storm over Viena, practical work in recognition various convective types).
Mesoscale instabilities (Exercises for various types of mesoscale instability, Numerical experimentation and research analysis)
Orographic mesoscale phenomena and orographic precipitation (Detail examination of each selected orographic mesoscale phenomena based on physical parameters and dimensionless numbers, numerical and research work)
Reading list
Lin, Y.-L 2007. Mesoscale Dynamics, Cambridge University Press, pp. 630.
Paul M. Markowski and Yvette P. Richardson, Mesoscale Meteorology in Midlatitudes
Wiley-Blackwell, 2010.
M. Hantel (2013): Lehrbuch Einführung Theoretische Meteorologie, Springer-Spektrum, Springer-Verlag Berlin/Heidelberg, 430 pp.
Holton, J.R. 2004: An Introduction to Dynamic Meteorology, Elsevier Academic Press. 4th Edition, 531 pp.
Additional
Warner, T.T., 2011: Numerical Weather and Climate Prediction, Cambridge University Press pp. 550.
Additional sources:
Lecture notes exposed on Moodle;
Model tutorial, tools, model code, software installation guidance, etc.
Paul M. Markowski and Yvette P. Richardson, Mesoscale Meteorology in Midlatitudes
Wiley-Blackwell, 2010.
M. Hantel (2013): Lehrbuch Einführung Theoretische Meteorologie, Springer-Spektrum, Springer-Verlag Berlin/Heidelberg, 430 pp.
Holton, J.R. 2004: An Introduction to Dynamic Meteorology, Elsevier Academic Press. 4th Edition, 531 pp.
Additional
Warner, T.T., 2011: Numerical Weather and Climate Prediction, Cambridge University Press pp. 550.
Additional sources:
Lecture notes exposed on Moodle;
Model tutorial, tools, model code, software installation guidance, etc.
Association in the course directory
Last modified: Th 27.09.2018 11:08
Course description:
The master course on Exercises on the Dynamics of Mesoscale Processes is just an extended hand of the general Mesoscale Dynamics concept and adjust for students to upgrade their knowledge and understanding mesoscale dynamics by numerous practical solutions, interactive discussion, homework and exams. It explains the basic physical concept on dynamics of mesoscale atmospheric processes. It starts with the main definition of Mesometeorology, scale analysis of different atmospheric processes and interactions among them. Then the fundamental principles of modeling mesoscale processes and construction of mesoscale atmospheric model, the basic equations and the appropriate numerical methods for their solution and linearization are explained in detail. The next important topic is a deep convection, the main physical processes, convective cloud model description and storm classification. The mesoscale instabilities, orographic phenomena induced by air flow
over mountain and orographic precipitation are also part of this master course.Goals (competences):
o To achieve advanced knowledge and understanding a different Mesoscale phenomena, to perform scale analysis of the horizontal and vertical processes and to be able to prepare the summarize with the main physical description of the processes in content of their dynamics.
o Develop capability to apply this upgraded knowledge in solving a different analytical and practical numerical solutions and linearization of equations, numerical experimentation and numerical simulations of a different mesoscale processes including convection.
o Strengthen the capability and motivation for moving forward in developing the basic framework of the mesoscale model.
o Capacity building for further development and improvement with own idea and innovative solutions;
o Better preparedness for scientific presentation, talks, review and discussions
o Improve the scientific and research potential, as good initial input for the further PhD career.Teaching methods:
Lectures supported by slide presentation, interactive lectures, trainings (using laboratory equipment and software packages), team work, case studies simulations, discussion, individual practical presentation (homework) , seminar paper, e-learning.Teaching activities:
Lectures
Training (laboratory sessions, problem solving-numerical experiments), and team work
Project work
Self study
Home work