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Dissolved oxygen model data
| Description: | This dataset contains dissolved oxygen data produced by the hydrodynamic-biogeochemical model ELCOM-CAEDYM that was used in Bocaniov et al. (2020) ""High sensitivity of lake hypoxia to air temperatures, winds and nutrient loading: Insights from a 3D lake model", Water Resources Research. The data includes predicted dissolved oxygen concentrations at the bottom of Lake Erie for the various climate change scenarios discussed in the paper. |
| Authors: | Lamb, Kevin G.; University of Waterloo;  0000-0003-3804-6525Bocaniov, Serghei A.; University of Waterloo; 0000-0001-5988-2034 |
| Keywords: | Lake Erie ELCOM-CAEDYM hypoxia climate change dissolved oxygen anoxia lake nutrients |
| Field of Research: | Earth and related environmental sciences > Geochemistry > Biogeochemistry
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| Publication Date: | 2020-12-10 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Natural Sciences and Engineering Research Council of Canada (NSERC) Global Water Futures (GWF) Canada First Research Excellence Fund (CFREF); Global Water Futures Program (GWF) |
| URI: | https://doi.org/10.20383/101.0312 |
| Related Identifiers: |
This dataset is cited by
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| Appears in Collections: | Water Institute |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Lamb, K., Bocaniov, S. (2020). Dissolved oxygen model data. Federated Research Data Repository. https://doi.org/10.20383/101.0312
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