Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
Description
This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). 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 |
|
0 |
sdata.2017.53 |
http://dx.doi.org/10.1038/sdata.2017.53 |
|
0 |
|
http://dx.doi.org/10.1029/2019WR024922 |
|
0 |
|
http://dx.doi.org/10.5066/F7DV1H10 |
|
0 |
|
http://dx.doi.org/10.5066/P9AQPIVD |
Tags
- reservoirs
- hybrid-modeling
- modeling
- temperate-lakes
- deep-learning
- united-states
- thermal-profiles
- usgs-5d89d8e3e4b0c4f70d0ae4dc
- us
- climate-change
- water
- temperature
- machine-learning