A dataset to measure global climate physical risk

• Published in: Data in brief Vol. 54; p. 110502
• Main Authors: Guo, Kun, Ji, Qiang, Zhang, Dayong
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.06.2024; Elsevier
• Subjects: climate; climate change; Climate risk; data collection; drought; Extreme drought; Extreme rainfall; Extreme temperature; Invited Data Manuscript; rain; risk; socioeconomics; temperature; Climate risk; Extreme temperature; Extreme rainfall; Extreme drought
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2024.110502

Extreme climate events have become more frequent and have had serious impacts on the global community. Consequently, the risk associated with climate change has gained increasing attention and has been considered as a new source of risk factors. To understand the socio-economic impacts of this new risk, systematically measuring risk around the world is critical for researchers and policymakers. Building on daily observations from meteorological stations, a Climate Physical Risk Index (CPRI) dataset is constructed for 170 countries, paying special attention to four extreme climate events: extreme low temperature (LTD), extreme high temperature (HTD), extreme rainfall (ERD), and extreme drought (EDD). A comprehensive index of climate physical risk for each country has also been constructed, covering the period from 1993 to 2023. The dataset will be updated regularly. Subnational indices or more detailed regional indices are available upon request.