Parameterization for distributed watershed modeling using national data and evolutionary algorithm

Keyphrases

• Penn State 100%
• Parameter Estimation 100%
• Evolutionary Algorithms 100%
• National Database 100%
• Integrated Hydrologic Model 100%
• Distributed Hydrological Model 100%
• Data Collection Algorithm 100%
• Calibration Strategy 100%
• Watershed Modeling 100%
• Process Optimization 50%
• Pennsylvania 50%
• Numerical Simulation 50%
• Computationally Intensive 50%
• Appalachian Plateau 50%
• Infiltration 50%
• Seasonal Changes 50%
• Model Use 50%
• Partial Differential Equations 50%
• Overland Flow 50%
• Physics-based 50%
• National Soil Survey 50%
• Hydrologic Processes 50%
• Model Calibration 50%
• Channel Flow 50%
• Hydrological Cycle 50%
• Covariance Matrix Adaptation Evolution Strategy (CMA-ES) 50%
• Finite Volume Method 50%
• Traditional Techniques 50%
• Transpiration 50%
• Soil-vegetation 50%
• Semi-discrete 50%
• Runoff Generation 50%
• Topographic Data 50%
• Seasonal Timescales 50%
• Message Passing Interface 50%
• Vegetation Data 50%
• Hydrologic Event 50%
• Upland Catchments 50%
• Efficiency Calibration 50%
• Soil Evaporation 50%
• Multi-process System 50%
• Interface Environment 50%
• Groundwater-surface Water 50%
• Coupled Ordinary Differential Equations 50%
• Soil Survey Information 50%
• Canopy Interception 50%

Earth and Planetary Sciences

• Timescale 100%
• Data Product 100%
• Surface Water 50%
• Geology 50%
• Pennsylvania 50%
• Soil Survey 50%
• Overland Flow 50%
• Covariance 50%
• Vegetation 50%
• Hydrologic Cycle 50%
• Channel Flow 50%