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2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.</p>
| Author(s) |
Farshid Rahmani,
Chaopeng Shen  ,
Samantha K Oliver ,
Kathryn Lawson ,
Alison P Appling
|
| Publication Date | 2021-09-27 |
| Beginning Date of Data | 2010-10-01 |
| Ending Date of Data | 2016-09-30 |
| Data Contact | |
| DOI | https://doi.org/10.5066/P9VHMO56 |
| Citation | Rahmani, F., Shen, C., Oliver, S.K., Lawson, K., and Appling, A.P., 2021, 2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins: U.S. Geological Survey data release, https://doi.org/10.5066/P9VHMO56. |
| Metadata Contact | |
| Metadata Date | 2021-09-27 |
| Related Publication | Loading... |
| Citations of these data | Loading https://doi.org/10.1002/hyp.14400 |
| Access | public |
| License | http://www.usa.gov/publicdomain/label/1.0/ |
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Harvest Source: ScienceBase
Harvest Date: 2025-01-07T16:23:15.254Z
Harvest Date: 2025-01-07T16:23:15.254Z