Environmental Science · Advanced
Climate Data Analytics & Climate Technologies
Work with observed and projected climate data, extremes and downscaling to assess impacts on water and agriculture.
Course modules
- 01Climate systems and data portals (IMD, ERA5, CMIP6)
- 02Trend and extreme-event analysis
- 03Bias correction and downscaling
- 04Hydroclimatic impacts on water and crops
- 05Climate technologies and adaptation options
- 06Communicating climate risk
Learning outcomes
- Process and analyse large climate datasets
- Quantify trends and extremes
- Link climate projections to local impacts
Project-based training
Every participant completes a capstone: Communicating climate risk. Labs use real environmental, agricultural or engineering datasets.
Tools
- Python (xarray)
- CDO
- Google Earth Engine
Who it’s for
Researchers, climate & sustainability professionals
Prerequisites
Python basics
