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USING A LOW-ORDER MODEL TO DETECT AND CHARACTERIZE INTENSE VORTICES IN MULTIPLE-DOPPLER RADAR DATA
(2010)
A new multiple-Doppler radar analysis technique is presented for the objective detection and characterization of intense vortices. The technique consists of fitting radial wind data from two or more radars to a simple ...
ON THE FURTHER STUDIES OF SUITABLE STORM-SCALE 3DVAR DATA ASSIMILATION FOR THE PREDICTION OF TORNADIC THUNDERSTORMS
(2011)
Storm-scale 3DVAR data assimilation and NWP for the prediction of tornadic supercell thunderstorms still faces many challenges. Some fundamental issues are still not thoroughly (or explicitly) investigated. To name a few: ...
APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES
(2010)
For the numerical prediction of severe thunderstorm and hurricane, data assimilation is one of the necessary tools to obtain accurate initial conditions. Ensemble Kalman filter (EnKF) is a state of the art data assimilation ...
Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting
(2011)
Two sets of experiments are performed to examine the ability of a storm-scale numerical weather prediction (NWP) model to predict precipitation and meso-vortices within the tornadic mesoscale convective system (MCS) that ...