Climate Risk and Vulnerability

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U.S. Climate Risk Projections by County, v1 (2040 – 2049)

Purpose:
To provide a U.S. county-level multi-hazard climate risk projection for 2040-2049 for climate, socioeconomic, environmental, and other related research.
Abstract:
The U.S. Climate Risk Projections by County, 2040-2049 data set contains a projection for 2040-2049 risk for the entire contiguous U.S. at the county level with a novel climate risk index integrating multiple hazards, exposures and vulnerabilities. Multiple hazards such as weather and climate are characterized as a frequency of heat wave, cold spells, drought, and heavy precipitation events along with anomalies of temperature and precipitation using high resolution (4 km) downscaled climate projections. Exposure is characterized by projections of population, infrastructure, and built surfaces prone to multiple hazards including sea level rise and storm surges. Vulnerability is characterized by projections of demographic groups most sensitive to climate hazards. This approach can guide planners in targeting counties at most risk and where adaptation strategies to reduce exposure or protect vulnerable populations might be best applied.
Recommended Citation(s)*:

KC, B., J. M. Shepherd, A. W. King, and C. J. Gaither. 2023. U.S. Climate Risk Projections by County, 2040-2049. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/abr8-v666. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

KC, B., J. M. Shepherd, A. W. King, and C. J. Gaither. 2021. Multi-hazard Climate Risk Projections for the United States. Natural Hazards 105: 1963-1976. https://doi.org/10.1007/s11069-020-04385-y.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:
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