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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
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| 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. | |
| DOI: | 10.4211/hs.46d980a71d2c4365aa290dc1bfdac823 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 547 |
| Downloads: | 7 |
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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.
Subject Keywords
Coverage
Spatial
Content
readme.md
Resource organization
Uncompressed, this resource has seven top-level folders: domain_Africa, domain_Europe, domain_NorthAmerica, domain_NorthAsia, domain_Oceania, domain_SouthAmerica and domain_SouthAsia. Every domain folder contains a subfolder called shapefiles, which in turn contains catchment and river_network subfolders. These each contain an ESRI shapefile for its respective domain.
The uncompressed folder structure matches the so-called "data directory" that is generated by the default settings used by the code that supports the "Community workflows" paper (see Related Resources section).
Resource use
The shapefiles iun this resource are used to run the CWARHM workflow for the seven domains. The code for this workflow is available on GitHub (see Related Resources section).
Licensing
This resource is derived from shapefiles published by Lin et al. (2019; https://doi.org/10.1029/2019WR025287). Those shapefiles are not accompanied by a formal license but "are made publicly available for research purposes". We have assigned a Creative Commons Attribution-NoCommerical-ShareAlike (CC BY-NC-SA) to this Hydroshare resource because this license seems closest in spirit to the intent of Lin et al. (2019).
Related Resources
| 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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