Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 3 Model configurations (lake model parameter values)
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 |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P9PPHJE2 |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.5e5c1c36e4b01d50924f27ea.xml |
Tags
- environment
- mn
- reservoirs
- hybrid-modeling
- modeling
- temperate-lakes
- south-dakota
- deep-learning
- united-states
- thermal-profiles
- usgs-5e5c1c36e4b01d50924f27ea
- sd
- us
- inlandwaters
- water-resources
- climate-change
- water
- temperature
- minnesota
- machine-learning