Physrisk is OS-Climate’s open-source physical climate risk toolkit: a core Python library plus a hazard indicator onboarding/derivation component, with reference implementations for hosting (FastAPI) and a React-based UI for hazard visualization and UI building blocks. We maintain a live demonstrator environment and full documentation to support evaluation and contribution.

 

 


PHYSICAL RISK VIDEOS

Open Source for Climate Risk: Leveraging OS-Climate’s PhysRisk Library
Open Source for Climate Risk: Leveraging OS-Climate’s PhysRisk Library
Meet OS-Climate’s PhysRisk library, an open, transparent, and auditable framework that integrates high-quality climate data with advanced risk modeling techniques.
Sustainability Reporting Challenges and Opportunities: An EU Policy Perspective
Sustainability Reporting Challenges and Opportunities: An EU Policy Perspective
Patrick de Cambourg, Chair EFRAG Sustainability Reporting Board gives a keynote covering types of regulations, importance of data quality, transparency and standards, building a reliable ecosystem, and the challenges OS-Climate faces.
CDM Extension for Property Collateral & Physical Hazard Risks
CDM Extension for Property Collateral & Physical Hazard Risks
The current CDM delivers meaningful workflow and cost benefits for banks. Given the material increase in existing and future exposure that banks have to physical risk events on property assets, extending the CDM will provide comprehensive foundation data fields to support end-to-end workflows for the integration of physical hazards like flood, fire and wind.
Using Artificial Intelligence To Fight the Environmental Crisis
Using Artificial Intelligence To Fight the Environmental Crisis
The EU Artificial Intelligence Act represents a major regulatory milestone, embedding environmental sustainability into AI governance. It introduces principles for developing AI systems sustainably, mandates energy consumption logging for high-risk AI, and requires lifecycle environmental impact assessments.

 

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