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 e Risorse

Campo Valore
accessLevel public
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identifier 3ca59f8b-9584-45da-8cdc-64eafedc9249
metadata_type geospatial
modified 2020-08-20
old-spatial {"type": "Polygon", "coordinates": [[[-94.2609062308, 42.5692312673], [-87.9475441739, 42.5692312673], [-87.9475441739, 48.6427837912], [-94.2609062308, 48.6427837912], [-94.2609062308, 42.5692312673]]]}
publisher Climate Adaptation Science Centers
resource-type Dataset
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spatial {"type": "Polygon", "coordinates": [[[-94.2609062308, 42.5692312673], [-87.9475441739, 42.5692312673], [-87.9475441739, 48.6427837912], [-94.2609062308, 48.6427837912], [-94.2609062308, 42.5692312673]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • ckan
  • climate-change
  • deep-learning
  • geo
  • geoss
  • hybrid-modeling
  • machine-learning
  • modeling
  • national
  • north-america
  • reservoirs
  • temperate-lakes
  • temperature
  • thermal-profiles
  • united-states
  • us
  • usgs-5d8a2257e4b0c4f70d0ae513
  • water
isopen False
license_id notspecified
license_title License not specified
maintainer U.S. Geological Survey (Point of Contact)
maintainer_email jread@usgs.gov
metadata_created 2025-11-22T18:03:18.192680
metadata_modified 2025-11-22T18:03:18.192684
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 4
num_tags 20
title Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values)