SAMPLE Future Landslides Data | Climate Risk Data | 3 Hazard Indicators | 3 Future Scenarios | ...

The Future Landslides Hazard dataset offers a global, high-resolution (0.1°) view of changing landslides risk from 1981 to 2100. It provides three key indicators derived from a susceptibility map and a rainfall Index to estimate potential rainfall triggered landslides:

-Moderate hazard: Annual count of days with potential landslide occurrence over moderate hazard locations.
- High hazard: Annual count of days with potential landslide occurrence over high hazard locations.
- Very high hazard: Annual count of days with potential landslide occurrence over very high hazard locations.

These indicators capture both long-term trends and increasing frequency, offering actionable insights into how rainfall triggered landslides conditions may evolve with climate change.

The dataset is built from five widely used global climate models and aligned with three IPCC emissions scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5), representing a range of possible futures from low to high emissions. It supports climate risk assessments, investment planning, and resilience strategies across sectors exposed to landslides hazards, including insurance, energy, real estate, and infrastructure.
Professionals can apply the dataset to assess future exposure, prioritize asset protection, design infrastructure for high-risk areas, or evaluate vulnerability in operations and supply chains.

Data are delivered in NetCDF format, with CSV or GeoTIFF versions available on request.

未来滑坡灾害数据集（The Future Landslides Hazard dataset）提供了1981年至2100年全球尺度下的高分辨率（0.1°）滑坡风险动态变化视图。该数据集基于滑坡敏感性图（susceptibility map）与降雨指数，衍生出三项核心指标，用以估算降雨触发型潜在滑坡风险：
- 中等灾害等级：中等灾害风险区域内潜在滑坡发生的年度天数统计
- 高灾害等级：高灾害风险区域内潜在滑坡发生的年度天数统计
- 极高灾害等级：极高灾害风险区域内潜在滑坡发生的年度天数统计

上述指标可同时捕捉长期趋势与频次增长特征，为解析气候变化背景下降雨触发型滑坡条件的演变规律提供可落地的决策支撑。

本数据集依托5套广泛应用的全球气候模型构建，并匹配政府间气候变化专门委员会（Intergovernmental Panel on Climate Change, IPCC）的三类排放情景（SSP1-2.6、SSP2-4.5、SSP5-8.5），覆盖从低排放到高排放的多种未来可能情景。其可支撑滑坡灾害暴露领域的气候风险评估、投资规划与韧性战略制定，服务于保险、能源、房地产及基础设施等多个受影响行业。

专业人员可借助该数据集开展未来暴露评估、优先推进资产保护工作、针对高风险区域开展基础设施设计，或评估运营与供应链中的脆弱性。

数据集以NetCDF（网络通用数据格式）格式交付，按需可提供CSV（逗号分隔值文件）或GeoTIFF（地理标记图像文件格式）版本。