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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2,609
808
120
3,537
90
136
156
HTML: 2,609
PDF: 808
XML: 120
Total: 3,537
Supplement: 90
BibTeX: 136
EndNote: 156
Views and downloads (calculated since 14 Apr 2023)
Cumulative views and downloads
(calculated since 14 Apr 2023)
Total article views: 2,244 (including HTML, PDF, and XML)
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Total
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EndNote
1,743
413
88
2,244
90
110
128
HTML: 1,743
PDF: 413
XML: 88
Total: 2,244
Supplement: 90
BibTeX: 110
EndNote: 128
Views and downloads (calculated since 27 Feb 2024)
Cumulative views and downloads
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Total article views: 1,293 (including HTML, PDF, and XML)
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866
395
32
1,293
26
28
HTML: 866
PDF: 395
XML: 32
Total: 1,293
BibTeX: 26
EndNote: 28
Views and downloads (calculated since 14 Apr 2023)
Cumulative views and downloads
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Total article views: 3,537 (including HTML, PDF, and XML)
Thereof 3,459 with geography defined
and 78 with unknown origin.
Total article views: 2,244 (including HTML, PDF, and XML)
Thereof 2,186 with geography defined
and 58 with unknown origin.
Total article views: 1,293 (including HTML, PDF, and XML)
Thereof 1,273 with geography defined
and 20 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...