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

Description

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).

Resources

Name Format Description Link
Digital Data XML Landing page for access to the data Open resource
Original Metadata XML The metadata original format Open resource

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