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Welcome

Introduction

Syllabus
External resources

IPCC Workshops

IPCC AR6 WG2 – Part 1
IPCC AR6 WG2 - Part 2

Getting ready for programming

How to use this website and prepare for each week
Installing Python (optional)
Installing JupyterLab (all platforms)
Downloading the data

Workshop 01

Python and Jupyter: a primer
Lesson: working with netCDF data
Assignment: 1D and 2D data

Workshop 02

Lesson: more tools for statistical and climatological analysis
Assignment: Characterising climate variability

Workshop 03

Lesson: timeseries analysis and extreme values
Assignment: timeseries analysis and extreme values

Workshop 04

Lesson: extreme value distributions
Assignment: scenario dependence of climate risks

Workshop 05

Lesson: organise your datasets, select data by country, droughts
Assignment: Droughts, CMIP6 projections

Workshop 06

Lesson 01: future glacier change
Lesson 02: geospatial datasets
Assignment: future glacier change

Workshop 07

Lesson: hazard, vulnerability and exposure during Hurricane Katrina
Assignment: a more intense future flood

Recipes

Which dataset should I use for my project?
Regional PlateCarree projection
Lambert conformal projection
Regridding WorldPop data to your region of choice
Pre-computed PET and SPEI for ERA5 and CMIP6

Repository
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By Fabien Maussion

Last updated on Dec 09, 2025.

These lecture notes and exercises are licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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