Process-guided deep learning water temperature predictions: 4 Training data

Description

This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes Long-TERM Ecological Research Program (https://lter.limnology.wisc.edu/), the Minnesota department of Natural Resources, and the Global Lake Ecological Observatory Network (gleon.org). 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).

Resources

Name Format Description Link
55 Landing page for access to the data http://dx.doi.org/10.5066/P9AQPIVD
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.5d8a42e3e4b0c4f70d0ae5fd.xml

Tags

  • environment
  • mn
  • reservoirs
  • hybrid-modeling
  • 012
  • modeling
  • temperate-lakes
  • deep-learning
  • wi
  • united-states
  • thermal-profiles
  • 007
  • us
  • inlandwaters
  • usgs-5d8a42e3e4b0c4f70d0ae5fd
  • climate-change
  • water
  • temperature
  • wisconsin
  • minnesota
  • machine-learning

Topics

Categories