A dataset to measure global climate physical risk
Chinese Academy of Sciences · University of Chinese Academy of Sciences · +3 more institutions
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…
Citation impact
- FWCI
- 50.49
- Percentile
- 100%
- References
- 12
Authors
3Topics & keywords
- Climate change
- Extreme weather
- Climatology
- Climate risk
- Environmental science
- Climate extremes
- Index (typography)
- Extreme heat
- Climate action