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

Published by Climate Adaptation Science Centers | Department of the Interior | Metadata Last Checked: July 18, 2025 | Last Modified: 2020-08-20

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).

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Complete Metadata

@id	http://datainventory.doi.gov/id/dataset/037a3e60060e9dbb31d73051d3bd909c
bureauCode	[ "010:00" ]
identifier	3ca59f8b-9584-45da-8cdc-64eafedc9249
spatial	-94.2609062308,42.5692312673,-87.9475441739,48.6427837912
theme	[ "geospatial" ]

Location