Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Katja Frieler
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
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2,698
834
123
3,655
90
139
173
HTML: 2,698
PDF: 834
XML: 123
Total: 3,655
Supplement: 90
BibTeX: 139
EndNote: 173
Views and downloads (calculated since 14 Apr 2023)
Cumulative views and downloads
(calculated since 14 Apr 2023)
Total article views: 2,336 (including HTML, PDF, and XML)
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EndNote
1,817
428
91
2,336
90
113
145
HTML: 1,817
PDF: 428
XML: 91
Total: 2,336
Supplement: 90
BibTeX: 113
EndNote: 145
Views and downloads (calculated since 27 Feb 2024)
Cumulative views and downloads
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Total article views: 1,319 (including HTML, PDF, and XML)
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881
406
32
1,319
26
28
HTML: 881
PDF: 406
XML: 32
Total: 1,319
BibTeX: 26
EndNote: 28
Views and downloads (calculated since 14 Apr 2023)
Cumulative views and downloads
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Total article views: 3,655 (including HTML, PDF, and XML)
Thereof 3,563 with geography defined
and 92 with unknown origin.
Total article views: 2,336 (including HTML, PDF, and XML)
Thereof 2,268 with geography defined
and 68 with unknown origin.
Total article views: 1,319 (including HTML, PDF, and XML)
Thereof 1,295 with geography defined
and 24 with unknown origin.
This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
This article describes a reconstruction of monthly coastal water levels from 1900–2015 and...