Process-based water temperature predictions in the Midwest US: 5 Model prediction data
Description
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. General Lake Model verion 2 process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error for 449 lakes (PBALL). Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations for 7,150 lakes.
Resources
| Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P9CA6XP8 |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.5db819a8e4b0b0c58b5a4c45.xml |
Tags
- environment
- mn
- reservoirs
- indiana
- hybrid-modeling
- missouri
- modeling
- nd
- temperate-lakes
- south-dakota
- usgs-5db819a8e4b0b0c58b5a4c45
- wi
- oh
- michigan
- united-states
- ia
- mi
- thermal-profiles
- ne
- sd
- in
- us
- inlandwaters
- water-resources
- climate-change
- water
- temperature
- wisconsin
- iowa
- ohio
- north-dakota
- minnesota
- il
- illinois
- mo
- nebraska