Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating model-agnostic and model-specific configuration steps in applications of large-domain hydrologic models - Continental basin discretizations and river networks
| Authors: | |
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| Owners: | Wouter J. M. Knoben |
| Type: | Resource |
| Storage: | The size of this resource is 2.6 GB |
| Created: | Jul 27, 2022 at 2:03 a.m. |
| Last updated: | Oct 31, 2022 at 4:40 p.m. (Metadata update) |
| Published date: | Jul 28, 2022 at 2:24 a.m. |
| DOI: | 10.4211/hs.46d980a71d2c4365aa290dc1bfdac823 |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1157 |
| Downloads: | 22 |
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Abstract
Hydrologic modeling can benefit from well-documented workflows that track every decision made during model configuration. Such a workflow is described in the paper "Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating model-agnostic and model-specific configuration steps in applications of large-domain hydrologic models". This resource contains the ESRI shapefiles used in this paper's global and continental test cases. The shapefiles are provided per continent (excluding Greenland and Antarctica) and contain both river basin discretizations and river networks. These shapefiles are based on the Merit Hydro basin delineation (Lin et al., 2019) and differ from that work only in small ways. They are provided here to provide full traceability of the work presented in the "Community Workflows" paper.
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| The content of this resource is derived from | Lin, P., Pan, M., Beck, H. E., Yang, Y., Yamazaki, D., Frasson, R., et al. (2019). Global reconstruction of naturalized river flows at 2.94 million reaches. Water Resources Research, 55, 6499–6516. https://doi.org/10.1029/2019WR025287. Data download URL: http://hydrology.princeton.edu/data/mpan/MERIT_Basins |
| The content of this resource can be executed by | Knoben, W. J. M., Marsh, C. B., & Tang, G. (2022). CH-Earth/CWARHM: Initial release (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.7134868 |
| This resource is described by | Knoben, W. J. M., Clark, M. P., Bales, J., Bennett, A., Gharari, S., Marsh, C. B., Nijssen, B., Pietroniro, A., Spiteri, R. J., Tarboton, D. G. & Wood, A. W. (2022). Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating model-agnostic and model-specific configuration steps in applications of large-domain hydrologic models. Water Resources Research, e2021WR031753. https://doi.org/10.1029/2021WR031753 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Global Water Futures |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial-ShareAlike CC BY-NC-SA.
http://creativecommons.org/licenses/by-nc-sa/4.0/
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