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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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: 3,128 (including HTML, PDF, and XML)
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2,685
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88
3,128
103
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132
HTML: 2,685
PDF: 355
XML: 88
Total: 3,128
Supplement: 103
BibTeX: 113
EndNote: 132
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads
(calculated since 16 Oct 2023)
Total article views: 2,886 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,443
355
88
2,886
103
113
132
HTML: 2,443
PDF: 355
XML: 88
Total: 2,886
Supplement: 103
BibTeX: 113
EndNote: 132
Views and downloads (calculated since 03 May 2024)
Cumulative views and downloads
(calculated since 03 May 2024)
Total article views: 242 (including HTML, PDF, and XML)
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242
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242
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0
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Total: 242
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads
(calculated since 16 Oct 2023)
Viewed (geographical distribution)
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: 3,128 (including HTML, PDF, and XML)
Thereof 3,030 with geography defined
and 98 with unknown origin.
Total article views: 2,886 (including HTML, PDF, and XML)
Thereof 2,798 with geography defined
and 88 with unknown origin.
Total article views: 242 (including HTML, PDF, and XML)
Thereof 232 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...