Identifying Structural Priors in a Hybrid Differentiable Model for Stream Water Temperature Modeling

Keyphrases

• Stream Water Temperature 100%
• Structural Prior 100%
• Differentiable Models 100%
• Stream Temperature 80%
• Water Sources 60%
• Neural Network 40%
• Water Temperature 40%
• Subsurface Flow 40%
• Stream Baseflow 40%
• Physical Processes 20%
• Air Temperature 20%
• Temperature Prediction 20%
• Simple Moving Average 20%
• Surface Flow 20%
• Model Selection 20%
• Physically-based 20%
• Multi-target 20%
• Physical Significance 20%
• In-stream 20%
• Groundwater Flow 20%
• Physical Constraints 20%
• Source Water 20%
• Multivariate Data 20%
• Recency 20%
• Basin Scale 20%
• Weighted Averaging 20%
• Flow Components 20%
• Deep Learning Model 20%
• Shallow Subsurface 20%
• Heat Process 20%
• Stream Temperature Model 20%

Engineering

• Source Water 100%
• Subsurface 50%
• Base Flow 50%
• Limitations 25%
• Process Heat 25%
• Metrics 25%
• Physical Significance 25%
• Physical Constraint 25%
• Internal Variable 25%
• Neural Model 25%
• Deep Learning Method 25%
• Temperature Model 25%
• Interpretability 25%
• Constrainedness 25%

Earth and Planetary Sciences

• Water Temperature 100%
• Base Flow 66%
• Air Temperature 33%
• Subsurface Flow 33%
• Physical Process 33%
• Deep Learning Model 33%
• Interpretability 33%