Description
This dataset provides model parameters used to estimate water temperature from a process-based model (Hipsey et al. 2019) using uncalibrated model configurations (PB0) and the trained model parameters for process-guided deep learning models (PGDL; Read et al. 2019). This dataset is part of a larger data release of lake temperature model inputs and outputs for 881 lakes in the U.S. state of Minnesota(https://doi.org/10.5066/P9PPHJE2).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Original Metadata | XML | The metadata original format | Open resource |
| Digital Data | XML | Landing page for access to the data | Open resource |