Spatial Extent of Data
USGS Data Source
ISO 19115 Topic Category
Other Subject Keywords
Place Keywords
Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs
This dataset includes model inputs that describe local weather conditions for Lake Mendota, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). 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).
Author(s) |
Jordan S Read |
Publication Date | 2019-11-13 |
Beginning Date of Data | 1980-04-01 |
Ending Date of Data | 2018-12-31 |
Data Contact | |
DOI | http://dx.doi.org/10.5066/P9AQPIVD |
Citation | Read, J.S., Jia, X., Willard, J., Appling, A.P., Zwart, J.A., Oliver, S.K., Karpatne, A., Hansen, G.J., Hanson, P.C., Watkins, W.D., Steinbach, M., and Vipin, K., 2019, Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs: U.S. Geological Survey data release, http://dx.doi.org/10.5066/P9AQPIVD. |
Metadata Contact | |
Metadata Date | 2020-08-20 |
Related Publication | There was no related primary publication associated with this data release. |
Citations of these data | Loading https://doi.org/10.1029/2019WR024922 |
Access | public |
License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2024-08-30T04:49:54.209Z