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“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
: 22 Associated Items
Final Report: “Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 5b Sparkling Lake detailed prediction data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 4b Sparkling Lake detailed training data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 5a Lake Mendota detailed prediction data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values)
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 4c All lakes historical training data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process‐guided deep learning predictions of lake water temperature
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Water Clarity and Temperature Effects on Walleye Safe Harvest: An Empirical Test of the Safe Operating Space Concept
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON)
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Process-guided deep learning water temperature predictions: 3c All lakes historical inputs
product of
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
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