Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
收藏USGS-Science Data Catalog2026-05-16 收录
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https://data.usgs.gov/datacatalog/data/USGS:5d925066e4b0c4f70d0d0599
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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).
创建时间:
2026-05-16



