Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data
Description
This dataset includes compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. 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 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.5d8a837fe4b0c4f70d0ae8ac.xml |
|
55 |
Landing page for access to the data |
http://dx.doi.org/10.5066/P9AQPIVD |
Tags
- environment
- reservoirs
- hybrid-modeling
- modeling
- biota
- temperate-lakes
- deep-learning
- wi
- united-states
- thermal-profiles
- us
- inlandwaters
- usgs-5d8a837fe4b0c4f70d0ae8ac
- climate-change
- water
- temperature
- wisconsin
- machine-learning