'ma_2023'
URL: https://hf-hydrodata.readthedocs.io/en/latest/gen_ma_2023.html
Water table depth estimates provided by a random forest model trained on historical USGS observations and Fan et al. 2013 water table depth dataset. This dataset includes long-term mean water table estimates and uncertainty at 1km resolution for the ParFlow-CONUS1 domain.
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Additional Information
| Field | Value |
|---|---|
| Data last updated | July 9, 2025 |
| Metadata last updated | July 9, 2025 |
| Created | July 9, 2025 |
| Format | HTML |
| License | No License Provided |
| Codeaccessurl | https://github.com/national-data-platform/catalog_entries/blob/main/HydroFrame_metadata/dataset_specific_notebooks/ma_2023_basic_notebook.ipynb |
| Datastore active | False |
| Docsurl | https://hf-hydrodata.readthedocs.io/en/latest/gen_ma_2023.html |
| Has views | False |
| Id | 9b8297d9-58dd-4639-b79e-9bb94726640b |
| Issuedate | 2023-10-05 |
| Lastupdatedate | 2023-10-05 |
| License | other |
| Mimetype | application/x-numpy |
| Otherlicense | Copyright © 2024 The Trustees of Princeton University and The Arizona Board of Regents on behalf of The University of Arizona, College of Science Hydrology & Atmospheric Sciences. All rights reserved. hf_hydrodata was created by William M. Hasling, Laura Condon, Reed Maxwell, George Artavanis, Will Lytle, Amy M. Johnson, Amy C. Defnet. It is licensed under the terms of the MIT license. |
| Package id | 7a8d8fc5-5178-4403-8c56-d3ce7f3b9df6 |
| Position | 0 |
| Resdatadict | Access data dictionary at: https://github.com/national-data-platform/catalog_entries/blob/main/HydroFrame_metadata/dataset_specific_notebooks/ma_2023_basic_notebook.ipynb |
| State | active |
| Status | deprecated |
| Urltype | informational or access link |