We interpret steady linear statistical inverse problems as artificial dynamic systems with white noise and introduce a stochastic differential equation system where the of ending time $T$ naturally plays role squared level. The time-continuous framework then allows us to apply classical methods from data assimilation, namely, Kalman--Bucy filter 3DVAR, analyze their behavior regularization meth...

Based on the Weather Research and Forecasting (WRF) Model three-dimensional variational (3DVAR) data assimilation system, this study investigates effects of radar reflectivity radial velocity under different momentum control variables forecast Southwest China Vortex precipitation. It is shown that U−V variable strengthens wind speed vorticity to be better matching observation, while using ψ−χ a...