Process-guided deep learning water temperature predictions: 4 Training data
Description
This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes Long-TERM Ecological Research Program (https://lter.limnology.wisc.edu/), the Minnesota department of Natural Resources, and the Global Lake Ecological Observatory Network (gleon.org). This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
Resources
Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
http://dx.doi.org/10.5066/P9AQPIVD |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.5d8a42e3e4b0c4f70d0ae5fd.xml |
Tags
- environment
- mn
- reservoirs
- hybrid-modeling
- 012
- modeling
- temperate-lakes
- deep-learning
- wi
- united-states
- thermal-profiles
- 007
- us
- inlandwaters
- usgs-5d8a42e3e4b0c4f70d0ae5fd
- climate-change
- water
- temperature
- wisconsin
- minnesota
- machine-learning