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
Viewed
Total article views: 3,928 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,931
862
135
3,928
95
150
187
HTML: 2,931
PDF: 862
XML: 135
Total: 3,928
Supplement: 95
BibTeX: 150
EndNote: 187
Views and downloads (calculated since 14 Apr 2023)
Cumulative views and downloads
(calculated since 14 Apr 2023)
Total article views: 2,561 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,012
446
103
2,561
95
124
159
HTML: 2,012
PDF: 446
XML: 103
Total: 2,561
Supplement: 95
BibTeX: 124
EndNote: 159
Views and downloads (calculated since 27 Feb 2024)
Cumulative views and downloads
(calculated since 27 Feb 2024)
Total article views: 1,367 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
919
416
32
1,367
26
28
HTML: 919
PDF: 416
XML: 32
Total: 1,367
BibTeX: 26
EndNote: 28
Views and downloads (calculated since 14 Apr 2023)
Cumulative views and downloads
(calculated since 14 Apr 2023)
Viewed (geographical distribution)
Total article views: 3,928 (including HTML, PDF, and XML)
Thereof 3,840 with geography defined
and 88 with unknown origin.
Total article views: 2,561 (including HTML, PDF, and XML)
Thereof 2,497 with geography defined
and 64 with unknown origin.
Total article views: 1,367 (including HTML, PDF, and XML)
Thereof 1,343 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...