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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).

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Author(s) Jordan S Read orcid, Xiaowei Jia orcid, Jared Willard, Alison P Appling orcid, Jacob A Zwart orcid, Samantha K Oliver orcid, Anuj Karpatne, Gretchen J.A. Hansen, Paul C. Hanson, William D Watkins orcid, Michael Steinbach, Kumar Vipin
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.
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Metadata Date 2020-08-20
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-08-30T04:49:54.209Z