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Climate Risk Analytics

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Snowflake2023-05-13 更新2024-05-01 收录
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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. Product Attributes: 2-county evaluation dataset (Miami County & Los Angeles County) Risk Types Climate Representative Pathway (RCP) Scenarios Property Use Type Climate Timeframe Average Annual Loss Sample Tables: - Climate Risk Analytics - Climate Risk Analytics Lookup Sample Fields: - Climate RCP Scenario - Climate Timeframe - Risk Score AAL - AAL - AEP - OEP - CLIP
提供机构:
Cotality
创建时间:
2023-05-13
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集基于CoreLogic的自然灾害风险模型,通过整合多种灾害类型(如地震、野火、洪水等)和IPCC气候变化情景,为美国约1.75亿个住宅与非住宅地块生成综合风险评分(CRS),并提供精细到房产级别的气候风险指标与概率损失建模。它主要用于政府和商业客户评估和披露全美范围内的房产风险。
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