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Process-based water temperature predictions in the Midwest US: 5 Model prediction data

Published by U.S. Geological Survey | Department of the Interior | Metadata Last Checked: March 03, 2026 | Last Modified: 2021-07-27T00:00:00Z
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. General Lake Model verion 2 process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error for 449 lakes (PBALL). Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations for 7,150 lakes.

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