Data assimilation for precipitation nowcasting using Bayesian inference

Keyphrases

• Data Assimilation 100%
• Bayesian Inference 100%
• Precipitation Fields 100%
• Precipitation Nowcasting 100%
• Posterior Distribution 66%
• Precipitation Dynamics 66%
• Variational Bayes 66%
• Most Probable 33%
• Kalman Filter 33%
• Prior Distribution 33%
• Data Assimilation Method 33%
• Field Model 33%
• Advection 33%
• Radar Observations 33%
• Nowcasting 33%
• Optimization Problem 33%
• Basis Function Expansion 33%
• Probabilistic Measures 33%
• Bayer Data 33%
• Function Parameters 33%
• Radar Data 33%
• VAR Analysis 33%
• Forecasting Scheme 33%
• Radar Image 33%
• Observed Precipitation 33%
• Receiver Operating Characteristic Curve 33%
• Convective Event 33%
• Stochastic Estimation 33%
• Realistic Settings 33%
• Rain Cell 33%
• Forecast Skill 33%
• 3DVAR 33%
• UK Met Office 33%
• Fit Measures 33%
• Spatial Rainfall 33%
• Conjugated Structure 33%
• Rainfall Model 33%
• Assimilation Characteristic 33%
• Probabilistic Forecasting 33%
• Precipitation Intensity 33%

Earth and Planetary Sciences

• Data Assimilation 100%
• Precipitation Nowcasting 100%
• Advection 50%
• Precipitation Intensity 50%
• United Kingdom 50%
• Kalman Filter 50%
• Nowcasting 50%
• Radar Tracking 50%
• Radar Data 50%