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Pages

Posts

Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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Blog Post number 2

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Blog Post number 1

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Tropical Cyclones in Global High-Resolution Simulations using the IPSL Model

Published in Climate Dynamics (CD), 2024

Outcome of my PhD: Assessment of Tropical Cyclones representation in a series of simulations with the IPSL model at high resolution.

Recommended citation: Bourdin, S.; Fromang, S.; Caubel, A.; Ghattas, J.; Meurdesoif, Y.; Dubos, T. (2024). "Tropical Cyclones in Global High-Resolution Simulations using the IPSL Model." Climate Dynamics (CD). 1(3).
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talks

teaching

Modélisation des Changements Climatiques (Climate Change Modelling)

One-week project-based engineering course, CentraleSupélec, Enseignement d'intégration 'Energie & Climat', 2023

I taught this course for three years, and the last two I was in charge. This is a one-week project-based course in which we taught students to run a climate model and interpret different CO2 experiments. They had to choose a specific regional question, and we accompanied them in running and analysing the simulations.

Modélisation de la circulation atmosphérique (Atmospheric circulation modelling)

Bloc thématique (TP), CentraleSupélec, Enseignement de mécanique des fluides, 2023

At the request of CentraleSupelec’s Fluid Mechanics professor, I created this 9h (3x3h) practical on Atmospheric Circulation. It consists in teaching the students how to run a Atmospheric Global Climate Model (LMDZ), and letting them create experiments to answer their own atmospheric circulation questions.

Environmental Data Analysis

Doctoral course, University of Oxford, Intelligent Earth Center for Doctoral Training, 2024

Along with two colleagues, we have created a one-day hands-on course on Environmental Data Analysis. It aims to teach students the main Python packages used in environmental data analysis, while also giving them to keys to solving their own coding problems. It focuses includes: pandas for text and csv files; xarray for netcdf files and satellite data; matplotlib and cartopy for plotting maps. The course is based on open-source notebooks which can be found here.