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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).
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: 6a Lake Mendota detailed evaluation data: 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: 2024-07-05T04:03:10.086Z