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>

Data and Resources

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accessLevel public
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identifier http://datainventory.doi.gov/id/dataset/usgs-5f9865fbd34e198cb77ff08c
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modified 2020-12-09T00:00:00Z
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publisher U.S. Geological Survey
resource-type Dataset
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theme {geospatial}
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isopen False
license_id notspecified
license_title License not specified
maintainer Farshid Rahmani
maintainer_email fzr5082@psu.edu
metadata_created 2025-09-23T18:00:28.914156
metadata_modified 2025-09-23T18:00:28.914162
notes &lt;p&gt;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.&lt;/p&gt;
num_resources 2
num_tags 79
title Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation