Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values)

This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". 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).

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5d8a2257e4b0c4f70d0ae513
metadata_type geospatial
modified 20200820
old-spatial -94.2609062307949, 42.5692312672573, -87.9475441739278, 48.6427837911633
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 8e590d16b9e597188397cebf6bfc171d9260e209
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-94.2609062307949, 42.5692312672573], [-94.2609062307949, 48.6427837911633], [ -87.9475441739278, 48.6427837911633], [ -87.9475441739278, 42.5692312672573], [-94.2609062307949, 42.5692312672573]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • biota
  • ckan
  • climate-change
  • deep-learning
  • environment
  • geo
  • geoss
  • hybrid-modeling
  • inlandwaters
  • machine-learning
  • minnesota
  • mn
  • modeling
  • national
  • north-america
  • reservoirs
  • temperate-lakes
  • temperature
  • thermal-profiles
  • united-states
  • us
  • usgs-5d8a2257e4b0c4f70d0ae513
  • water
  • wi
  • wisconsin
isopen False
license_id notspecified
license_title License not specified
maintainer Jordan S. Read
maintainer_email jread@usgs.gov
metadata_created 2025-11-21T15:00:29.716312
metadata_modified 2025-11-21T15:00:29.716315
notes This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". 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).
num_resources 2
num_tags 27
title Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values)