Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Centre CERC, Davos, Switzerland
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Total article views: 3,304 (including HTML, PDF, and XML)
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2,808
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PDF: 392
XML: 104
Total: 3,304
Supplement: 111
BibTeX: 129
EndNote: 152
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads
(calculated since 16 Oct 2023)
Total article views: 3,061 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,565
392
104
3,061
111
129
152
HTML: 2,565
PDF: 392
XML: 104
Total: 3,061
Supplement: 111
BibTeX: 129
EndNote: 152
Views and downloads (calculated since 03 May 2024)
Cumulative views and downloads
(calculated since 03 May 2024)
Total article views: 243 (including HTML, PDF, and XML)
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243
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243
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Total: 243
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Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads
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Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 3,304 (including HTML, PDF, and XML)
Thereof 3,188 with geography defined
and 116 with unknown origin.
Total article views: 3,061 (including HTML, PDF, and XML)
Thereof 2,955 with geography defined
and 106 with unknown origin.
Total article views: 243 (including HTML, PDF, and XML)
Thereof 233 with geography defined
and 10 with unknown origin.
This study finds that >85% of the global population is exposed to warming nighttime temperatures robustly beyond natural variability, at a Global Warming Level of 1.5°C. This increases to >95% at 2.0°C. Daily maximum temperature follows a comparable trend. Thus, every small additional warming substantially increases human exposure to potentially detrimental climate conditions.
This study finds that 85% of the global population is exposed to warming nighttime temperatures...
Using a special suite of climate simulations, we determine if and when climate change is detectable and translate this to the global warming prevalent in the corresponding year. Our results show that, at 1.5°C warming, >85 % of the global population (>95 % at 2.0° warming) is already exposed to nighttime temperatures altered by climate change beyond natural variability. Furthermore, even incremental changes in global warming levels result in increased human exposure to emerged climate signals.
Using a special suite of climate simulations, we determine if and when climate change is...