Subgrid-scale rainfall variability and its effects on atmospheric and surface variable predictions

Keyphrases

• Atmospheric Model 50%
• Atmospheric Research 25%
• Dynamical Model 25%
• Feedback Effect 25%
• Further Development 25%
• Grid Size 25%
• Hybrid Method 50%
• Kansas 25%
• Large-scale Dynamics 25%
• Mesoscale Models 25%
• MM5 Model 25%
• Model Prediction 25%
• National Center 25%
• Oklahoma 25%
• Penn State 25%
• Rainfall 75%
• Rainfall Field 25%
• Rainfall Intensity 25%
• Rainfall Prediction 50%
• Rainfall Spatial Variability 50%
• Rainfall Variability 100%
• Simulated Rainfall 25%
• Statistical Downscaling 25%
• Statistical Parameterizations 25%
• Stochastic Optical Reconstruction Microscopy (STORM) 25%
• Strong Convection 25%
• Subgrid Scale 100%
• Surface Energy Balance 25%
• Surface Temperature Distribution 25%
• Water Energy 25%
• Water Partitioning 25%

Earth and Planetary Sciences

• Atmospheric Model 100%
• Atmospherics 100%
• Downscaling 50%
• Energy Balance 50%
• Kansas 50%
• Oklahoma 50%
• Planetary Atmosphere 50%
• Precipitation Intensity 50%
• Surface Energy 50%
• Temperature Distribution 50%

Engineering

• Energy Surface 50%
• Hybrid Approach 100%
• Mesoscale 100%
• Model Prediction 50%
• Model Scale 50%
• Rainfall Intensity 50%
• Scale Dynamic 50%
• Surface Temperature Distribution 50%