DAY 1: 09.00 – 17.30

• Introduction: overview of Climate change, ESG including climate risk
• Data
  • Data sources for climate risk

1. • • Sources:
       • Observations: e.g., weather stations, satellites, radar
       • Weather and climate models: re-analysis, (sub)seasonal to decadal predictions, climate projections
     • Purpose of the data:
       • Exposures of financial firms to climate-related risks
       • Support forward-looking assessments of climate-related risks to the financial institutions
       • Capture climate-related risk transfer and mitigation.

• Data recording and transformation
• Example in excels

10.30 – 11.00: Morning Break

12.30 – 13.30: Lunch

15.15 – 15.45: Afternoon Break