A dataset to measure global climate physical risk
Kun Guo, Qiang Ji, Dayong Zhang
Chinese Academy of Sciences University of Chinese Academy of Sciences Institutes of Science and Development Southwestern University of Finance and Economics
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摘要与影响
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.
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物理Climate variability and models
Sustainable Finance and Green Bonds · Meteorological Phenomena and Simulations
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