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A dataset to measure global climate physical risk

Authors :
Kun Guo
Qiang Ji
Dayong Zhang
Source :
Data in Brief, Vol 54, Iss , Pp 110502- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

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.

Details

Language :
English
ISSN :
23523409
Volume :
54
Issue :
110502-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.888e7e61784b82ba8da9117b3295a0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2024.110502