A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The spatial distribution of extreme climate events, another climate inequity for the world’s most vulnerable people
Does the climate change signal emerge equally from internal climate variability across the globe? If not, are there particular locations where temperature extremes might disproportionately affect specific populations? The letter by Harrington et al (2016 Environ. Res. Lett. http://dx.doi.org/10.1088/1748-9326/11/5/055007 11 http://dx.doi.org/10.1088/1748-9326/11/5/055007 ) argues that people living in low latitude countries, which contain the majority of the world’s poorest people, are—and will continue to be—disproportionately affected by increases in temperature extremes. Due to differences in expertise of climate scientists, and climate impact and adaptation scientists, few climate extreme event analyses are spatially disaggregated and linked to local populations’ socio-economic characteristics. The research presented in this letter begins to bridge this gap by providing evidence of inequitable spatial impacts from climate extremes on the world’s poorest people.
The spatial distribution of extreme climate events, another climate inequity for the world’s most vulnerable people
Does the climate change signal emerge equally from internal climate variability across the globe? If not, are there particular locations where temperature extremes might disproportionately affect specific populations? The letter by Harrington et al (2016 Environ. Res. Lett. http://dx.doi.org/10.1088/1748-9326/11/5/055007 11 http://dx.doi.org/10.1088/1748-9326/11/5/055007 ) argues that people living in low latitude countries, which contain the majority of the world’s poorest people, are—and will continue to be—disproportionately affected by increases in temperature extremes. Due to differences in expertise of climate scientists, and climate impact and adaptation scientists, few climate extreme event analyses are spatially disaggregated and linked to local populations’ socio-economic characteristics. The research presented in this letter begins to bridge this gap by providing evidence of inequitable spatial impacts from climate extremes on the world’s poorest people.
The spatial distribution of extreme climate events, another climate inequity for the world’s most vulnerable people
Donna Green (author)
2016
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
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