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_projects/lakemodeling.md

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### Papers:
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<h2 style="margin: 0; font-size: 16px;">Modular Compositional Learning Improves 1D Hydrodynamic Lake Model Performance by Merging Process-Based Modeling With Deep Learning</h2>
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<h2 style="margin: 0; font-size: 16px;">Physics-Guided Neural Networks (PGNN): An Application in Lake Temperature Modeling</h2>
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<h2 style="margin: 0; font-size: 16px;">Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling</h2>

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