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Quantifying Climate Risks - Home Quantifying Climate Risks - Home
  • 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
  • Open issue

Index

By Fabien Maussion

Last updated on Dec 09, 2025.

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