Teacher(s)
Barriat Pierre-Yves (coordinator); Yin Qiuzhen;
Language
French
Content
This course unit aims to train students in the use of physical models implemented in a UNIX/Linux development environment.
The equations governing the evolution of the climate system are, in the vast majority of cases, differential equations. Solving these equations generally requires the use of numerical methods. This course therefore provides an essential foundation for students wishing to pursue further studies or research (Master’s thesis or PhD) in climate modelling.
The first part of the course provides an introduction to Linux and to scientific programming using Fortran and Python (Pierre-Yves Barriat).
The second part focuses on numerical simulation, covering differential equations and modelling concepts such as consistency, convergence, and stability (Qiuzhen Yin).
The equations governing the evolution of the climate system are, in the vast majority of cases, differential equations. Solving these equations generally requires the use of numerical methods. This course therefore provides an essential foundation for students wishing to pursue further studies or research (Master’s thesis or PhD) in climate modelling.
The first part of the course provides an introduction to Linux and to scientific programming using Fortran and Python (Pierre-Yves Barriat).
The second part focuses on numerical simulation, covering differential equations and modelling concepts such as consistency, convergence, and stability (Qiuzhen Yin).
Teaching methods
The course combines lectures with integrated practical sessions in a computer laboratory.
Evaluation methods
Learning outcomes are assessed through two complementary components: continuous assessment and a practical modelling project, which is presented and assessed orally during the examination period.
1. Continuous assessment: 30% of the final grade
2. Practical modelling project and oral examination: 70% of the final grade
Continuous assessment is based on a series of exercises assigned at the end of the course sessions. These exercises cover the different skills developed throughout the course unit, including programming in Python or Fortran, as well as numerical methods and modelling.
The exercises must be submitted before the following session and are designed to assess the students progressive acquisition of the targeted skills throughout the semester.
Students complete a practical project based on a physical or climate modelling case study. The project must be submitted at the end of the semester or, at the latest, at the beginning of the examination period.
The oral examination is structured into two parts:
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Understanding and mastery of the course concepts: questions covering the theoretical and methodological concepts addressed throughout the course unit;
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Presentation and discussion of the individual project: the student's ability to explain the choices made, justify the methods used, and interpret the results obtained. This part may include requests to modify or correct the programme and/or results in real time.
The assessment focuses on the student's effective mastery of the targeted skills and their ability to apply, explain, and adapt the methods and tools used.
Online resources
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Geography : Climatology
