Research Unit – Sustainability and Climate Risks, Center for Earth
System Research and Sustainability, Universität Hamburg, Grindelberg 5, 20144 Hamburg, Germany
Viewed
Total article views: 1,562 (including HTML, PDF, and XML)
HTML
PDF
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Total
Supplement
BibTeX
EndNote
1,121
383
58
1,562
49
34
38
HTML: 1,121
PDF: 383
XML: 58
Total: 1,562
Supplement: 49
BibTeX: 34
EndNote: 38
Views and downloads (calculated since 15 Mar 2023)
Cumulative views and downloads
(calculated since 15 Mar 2023)
Total article views: 784 (including HTML, PDF, and XML)
HTML
PDF
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Total
Supplement
BibTeX
EndNote
597
155
32
784
49
27
31
HTML: 597
PDF: 155
XML: 32
Total: 784
Supplement: 49
BibTeX: 27
EndNote: 31
Views and downloads (calculated since 21 Sep 2023)
Cumulative views and downloads
(calculated since 21 Sep 2023)
Total article views: 778 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
524
228
26
778
7
7
HTML: 524
PDF: 228
XML: 26
Total: 778
BibTeX: 7
EndNote: 7
Views and downloads (calculated since 15 Mar 2023)
Cumulative views and downloads
(calculated since 15 Mar 2023)
Viewed (geographical distribution)
Total article views: 1,562 (including HTML, PDF, and XML)
Thereof 1,458 with geography defined
and 104 with unknown origin.
Total article views: 784 (including HTML, PDF, and XML)
Thereof 707 with geography defined
and 77 with unknown origin.
Total article views: 778 (including HTML, PDF, and XML)
Thereof 751 with geography defined
and 27 with unknown origin.
Today, most climate model data are provided at daily time steps. However, more and more models from different sectors, such as energy, water, agriculture, and health, require climate information at a sub-daily temporal resolution for a more robust and reliable climate impact assessment. Here we describe and validate the Teddy tool, a new model for the temporal disaggregation of daily climate model data for climate impact analysis.
Today, most climate model data are provided at daily time steps. However, more and more models...