Climate Risk Analytics

**Overview**
Cotality’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 Cotality 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.

Cotality’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 Cotality 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.

**Use cases**
- **Asset Valuation** - Allows businesses to validate the risk profile of their assets, particularly real estate, by providing detailed data on potential climate-related hazards. This information can help to verify the suitability of an asset for particular uses or investments.
- **Risk Analysis** - By modeling potential climate risks, the service helps businesses understand and quantify the potential impacts of climate-related events on their operations or investments. This can inform risk mitigation strategies, insurance requirements, and business continuity planning.
- **Regulatory Reporting** - Assist businesses in fulfilling their regulatory reporting requirements related to climate risk. This is particularly relevant for industries subject to climate-related financial disclosures or those operating in regions with stringent environmental regulations.
- **Location Data Enrichment** - The service enhances location data with rich, granular information about climate risk. This can improve decision-making in areas such as site selection, logistics planning, and supply chain risk management.
- **ESG Investment Analysis** - Investors can use Climate Risk Analytics to assess the environmental component of ESG (Environmental, Social, Governance) factors. By understanding the climate risks associated with a potential investment, they can make better-informed decisions aligned with their ESG goals.
- **Demand Forecasting** - By providing data on potential future climate scenarios, Climate Risk Analytics can help businesses anticipate changes in demand that might result from these scenarios. For example, increased risk of flooding might drive demand for flood insurance or flood-resistant construction.

**Product details**

- Datasets represented include Climate Risk Analytics and Climate Risk Analytics Lookup.
- Sample fields include 2-county evaluation dataset (Miami County & Los Angeles County), Risk Types, Climate Representative Pathway (RCP) Scenarios, Property Use Type, Climate Timeframe, and Average Annual Loss.

搜集汇总

背景与挑战

背景概述

该数据集整合了CoreLogic的自然灾害风险模型和IPCC气候情景预测，为美国约1.75亿处住宅和非住宅房产提供1-100分的综合风险评分，涵盖地震、野火等七类灾害。政府和企业客户可借此评估资产风险、满足监管要求，并支持ESG投资分析等应用场景。