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Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation
<p>This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the metric calculations in the supplement of Rahmani et al. (2020), equations S1-S7.</p>
| Author(s) |
Farshid Rahmani,
Kathryn Lawson  ,
Wenyu Ouyang,
Alison P Appling ,
Samantha K Oliver ,
Chaopeng Shen
|
| Publication Date | 2020-12-09 |
| Beginning Date of Data | 2010-10-01 |
| Ending Date of Data | 2016-09-30 |
| Data Contact | |
| DOI | https://doi.org/10.5066/P97CGHZH |
| Citation | Rahmani, F., Lawson, K., Ouyang, W., Appling, A.P., Oliver, S.K., and Shen, C., 2020, Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation: U.S. Geological Survey data release, https://doi.org/10.5066/P97CGHZH. |
| Metadata Contact | |
| Metadata Date | 2020-12-09 |
| Related Publication | Loading... |
| Citations of these data | Loading https://doi.org/10.1088/1748-9326/abd501 |
| Access | public |
| License | http://www.usa.gov/publicdomain/label/1.0/ |
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Harvest Source: ScienceBase
Harvest Date: 2024-07-30T04:03:30.725Z
Harvest Date: 2024-07-30T04:03:30.725Z