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Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data

This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. The dataset also includes Lake Mendota model erformance as measured as root-mean squared errors relative to temperature observations during the test period. 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
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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: 6a Lake Mendota detailed evaluation data: 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: 2024-07-05T04:03:10.086Z