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 |
|---|---|---|---|
| Original Metadata | XML | The metadata original format | Open resource |
| Digital Data | XML | Landing page for access to the data | Open resource |
Tags
- climate-change
- environment
- hybrid-modeling
- ia
- il
- illinois
- in
- indiana
- inlandwaters
- iowa
- mi
- michigan
- minnesota
- missouri
- mn
- mo
- modeling
- nd
- ne
- nebraska
- north-dakota
- oh
- ohio
- reservoirs
- sd
- south-dakota
- temperate-lakes
- temperature
- thermal-profiles
- united-states
- us
- usgs-5db819a8e4b0b0c58b5a4c45
- water
- water-resources
- wi
- wisconsin