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Faculty of Mathematics and Computer Science, Physics, Geography

Course Title: 0702 Climate modelling: Energy Balance Models

Course Description

Climate is the result of various interactions between the five principal subsystems—atmosphere, hydrosphere, biosphere, land surface, and cryosphere—which collectively contribute to the climate system. Each component is connected in different ways to each other such that changes in one component may give rise to changes elsewhere. The climate system is powered by the solar radiation and its time evolution is affected by the own internal dynamics and changing external factors (forcings) that influence the climate.

The block course is engaged with the general introduction to climate and climate modelling. Energy Balance models are further elaborated in a virtual online session. Participants will also have a hands-on practice on use of real climate model output, statistical analysis and visualisation.

Prior to the block course, participants do an extensive literature research on climate models and prepare relevant presentations in small groups (max. 3 students; 30 min). The topics of the presentations can be selected from the following list:

  1. Energy Balance Models
  2. Earth System Models of Intermediate Complexity
  3. General Circulation Models
  4. Earth System Models including unstructured grids
  5. Regional climate models
  6. Climate Impact models
  7. Machine Learning tools implemented in Earth System Models

The structure of the presentation should follow:

  1. Motivation
  2. Introduction to the basic model concept
  3. State of the art of current literature
  4. Example of application of the respective model
  5. Short discussion on pros and cons of the model
  6. Summary and outlook for potential future applications

A final report is prepared after the block course based on the literature and hands-on experience.

Faculty

Mathematics and Computer Science, Physics, Geography

Institute

Institute of Geography

Lecturer

Dr. Elena Xoplaki

Study Period (dd/mm/yy)

Block course (2,5 days), in the first week of the semester (11/04/22-15/04/22)

Mode and Time

Synchronous, Time (CET): 09:00-16:00

Online Tool for Teaching

MS Teams

Language of Instruction

English

Target Group

Bachelor, Master in the field of natural sciences

Prerequisites

Participants should have weather/climate knowledge. The course is structured as a block and its basic prerequisite is the participants’ motivation to learn about climate and climate models. Computer skills are welcome.

ECTS

3

Course Title: 0703 Meshless Finite Difference Method

Course Description

Introduction into the meshless version of the Finite Difference Method, where partial differential equations are discretized with the help of numerical differentiation formulas on irregular nodes. Both polynomial and reproducing kernel-based approaches will be covered. Special attention will be paid to the theoretical foundations in the fields of approximation theory and  reproducing kernel Hilbert spaces.

Faculty

Mathematics and Computer Science, Physics, Geography

Institute

Institute of Mathematics

Lecturer

Prof. Oleg Davydov

Study Period (dd/mm/yy)

11/04/22-15/07/22

Mode and Time

Synchronous, Time (CET): Mondays 10:00-12:00, Thursdays 10:00-12:00

Online Tool for Teaching

Webex, ILIAS

Language of Instruction

English

Target Group

Bachelor, Master

Prerequisites

Basic knowledge of partial differential equations and Hilbert spaces; B.Sc. lecture course on numerical analysis

ECTS

6

Responsible for the content: Ben Kahl: Contact by e-mail