Jump to content

Faculty of Mathematics and Computer Science, Physics, Geography

Course Title: 0703 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:
JLU Virtual International Programme (VIP)
* Mandatory information (publication on the website and in the programme flyer)
a) Motivation
b) Introduction to the basic model concept
c) State of the art of current literature
d) Example of application of the respective model
e) Short discussion on pros and cons of the model
f) 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 of Mathematics and Computer Science, Physics, Geography


Institute of Geography


Dr. Elena Xoplaki

Study Period (dd/mm/yy)

19/04/2023 - 21/04/2023

Mode and Time

Synchronous (live), Time (CET): First day: 14:00-16:00; Second and third day: 09:00-16:00

Online Tool for Teaching


Language of Instruction


Target Group



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.


Without examination: 0-1

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