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KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA
(2010)
The assimilation of radar data in storm-scale numerical weather prediction models is essential for improved forecasts of thunderstorm events. The huge computational cost of assimilating the high temporal and spatial ...
Applications of Gaussian Mixture Model to Weather Observations
(2011)
The estimation of weather parameters such as attenuation and rainfall rates from weather radar data has been based mainly on deterministic regression models. The applications of a Bayesian approach to weather parameters ...
Applications of Gaussian Mixture Model to Weather Observations
(2011)
The estimation of weather parameters such as attenuation and rainfall rates from weather radar data has been based mainly on deterministic regression models. The applications of a Bayesian approach to weather parameters ...