CoreLogic’s natural catastrophe risk models (used for CRA) combines our proprietary datasets and models into a comprehensive single score that incorporates the following hazards: Earthquake, Wildfire, Inland Flood, Severe Convective Storm, Winter Storm, Hurricane/Tropical Storm Surge and Hurricane/Tropical Storm Wind. The CoreLogic Composite Risk Score (CRS), scaled 1-100, represents the sum of the Average Annual Loss (AAL), relative to the calculated Reconstruction Cost Value (RCV), for these hazards, for approximately 135 million residential and 40 million non-residential parcels or structures across the U.S. CoreLogic’s Climate Risk Analytics product uses catastrophe modeling optimized for Climate Risk scenarios. These scenarios, prescribed by the Intergovernmental Panel on Climate Change, model out Representative Concentration Pathway scenarios (2.6, 4.5 & 8.5) for all years suggested (Base, 2030, 2040 and 2050). The result is climate risk metrics for each RCP scenario, down to the individual property level. These metrics incorporate IPCC scenarios overlaid with CoreLogic proprietary suite of hazard risk data & analytics and catastrophe models. The CRS also provides probabilistic modeling outputs at highly granular asset locations, providing peril Probable Maximum Loss (PML) outputs across multiple (50/100/250/500 year) time horizons, reflecting the financial impacts/materiality of potential hazard and/or climate events. Climate Risk Analytics is used by government and commercial clients to identify, score, and disclose property risk scores across the United States.