Transit time of in-stream water through the world's river networks and the impact of dams ...
The in-stream water transit time datasets correspond to the recent high-quality global river hydrography dataset named GRADES [Lin. et al. 2019] by sharing "COMID". The shapefiles are publically assessible (link: 'http://hydrology.princeton.edu/data/mpan/GRADES/' and 'http:/...
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ftdatacite:10.5281/zenodo.8227556 2024-01-28T10:03:50+01:00 Transit time of in-stream water through the world's river networks and the impact of dams ... Lichun Wang 2023 https://dx.doi.org/10.5281/zenodo.8227556 https://zenodo.org/doi/10.5281/zenodo.8227556 en eng Zenodo https://dx.doi.org/10.5281/zenodo.8227555 Restricted Access info:eu-repo/semantics/restrictedAccess Water age River Network ScholarlyArticle JournalArticle article-journal 2023 ftdatacite https://doi.org/10.5281/zenodo.822755610.5281/zenodo.8227555 2024-01-04T12:59:50Z The in-stream water transit time datasets correspond to the recent high-quality global river hydrography dataset named GRADES [Lin. et al. 2019] by sharing "COMID". The shapefiles are publically assessible (link: 'http://hydrology.princeton.edu/data/mpan/GRADES/' and 'http://hydrology.princeton.edu/data/mpan/MERIT_Basins/'). The water transit time datasets cover 8 continents/sub-continents, where the number represents the level 1 Pfafstetter code from HydroSHEDS/HydroBASINS: 1: Africa, 2: Europe, 3: North Asia, 4: South Asia, 5: Oceania and South Asian Islands, 6: South America, 7: North America, 8: Arctic Region. The first colum is COMID inherited from GRADES, the second column is the water transit time in natural status, and the third column is the water transit time in dammed status, all water transit times are in unit of days. Reference: Lin, P. et al., 2019. Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches. Water Resources Research 55(8), 6499-6516. ... Article in Journal/Newspaper Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
Water age River Network |
spellingShingle |
Water age River Network Lichun Wang Transit time of in-stream water through the world's river networks and the impact of dams ... |
topic_facet |
Water age River Network |
description |
The in-stream water transit time datasets correspond to the recent high-quality global river hydrography dataset named GRADES [Lin. et al. 2019] by sharing "COMID". The shapefiles are publically assessible (link: 'http://hydrology.princeton.edu/data/mpan/GRADES/' and 'http://hydrology.princeton.edu/data/mpan/MERIT_Basins/'). The water transit time datasets cover 8 continents/sub-continents, where the number represents the level 1 Pfafstetter code from HydroSHEDS/HydroBASINS: 1: Africa, 2: Europe, 3: North Asia, 4: South Asia, 5: Oceania and South Asian Islands, 6: South America, 7: North America, 8: Arctic Region. The first colum is COMID inherited from GRADES, the second column is the water transit time in natural status, and the third column is the water transit time in dammed status, all water transit times are in unit of days. Reference: Lin, P. et al., 2019. Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches. Water Resources Research 55(8), 6499-6516. ... |
format |
Article in Journal/Newspaper |
author |
Lichun Wang |
author_facet |
Lichun Wang |
author_sort |
Lichun Wang |
title |
Transit time of in-stream water through the world's river networks and the impact of dams ... |
title_short |
Transit time of in-stream water through the world's river networks and the impact of dams ... |
title_full |
Transit time of in-stream water through the world's river networks and the impact of dams ... |
title_fullStr |
Transit time of in-stream water through the world's river networks and the impact of dams ... |
title_full_unstemmed |
Transit time of in-stream water through the world's river networks and the impact of dams ... |
title_sort |
transit time of in-stream water through the world's river networks and the impact of dams ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8227556 https://zenodo.org/doi/10.5281/zenodo.8227556 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.5281/zenodo.8227555 |
op_rights |
Restricted Access info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.5281/zenodo.822755610.5281/zenodo.8227555 |
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1789329328230629376 |