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VERSION:2.0
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DTSTAMP:20260919T080311Z
DTSTART:20260120T100000
DTEND:20260120T130000
SUMMARY:Current Focus: It’s getting hot in here – understand your climate
 -related physical risk indicators
TRANSP:TRANSPARENT
UID:2026_01_20_physical_risk_indicators_972568
DESCRIPTION:Objective\n\nParticipants of this online course will have the
  opportunity to gain insights into the analysis of geospatial\, forward-
 looking physical risk data and tools. To this end\, we will leverage pub
 lic global databases and generative AI to support the analyses.\n\nConte
 nt\nPrimer on Climate Scenarios\nExtreme Events\nDigression: Network for
  Greening the Financial System (NGFS)\nIntroduction to Spatiotemporal Da
 ta and Selected Databases\nCase Study 1: Global Warming\nThe Concept of 
 “Risk” Related to Climate Change Impacts\nCase Study 2: Hazard and Expos
 ure\nDigression: Damage Functions\n\nTarget group\n\nThis online course 
 is aimed at staff in central banks and supervisory authorities who are i
 nterested in learning how to use gridded climate data\, such as those fr
 om the Coupled Model Intercomparison Project Phase 6 (CMIP6)\, together 
 with gridded exposure data aligned with the Shared Socioeconomic Pathway
 s (SSPs) to derive both gridded and country-level indicators by overlayi
 ng climate hazards with exposure information for human or ecological sys
 tems.\n\nNo prior experience is required\; the session will feature inst
 ructor-led demonstrations of code-based workflows\, supported by generat
 ive AI\, rather than a full hands-on training.\n\nTechnical requirements
 \n\nComputer with microphone\, camera\, speakers or headphones\, current
  internet browser.
LOCATION:Online platform
CONTACT:Deutsche Bundesbank – CIC\, tzk@bundesbank.de\, +49 69 9566-36605
 
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