Multiple-Radar Data Assimilation and Short-Range Quantitative Precipitation Forecasting of a Squall Line Observed during IHOP_2002

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Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study (2008, background): “The “cv5” option formulates eigenvector-space control variables, namely streamfuction, velocity potential, unbalanced pressure, and relative humidity (Xiao and Sun 2007).”
Indirect Assimilation of Radar Reflectivity with WRF 3D-Var and Its Impact on Prediction of Four Summertime Convective Events (2013, methodology): “The results from the study of a convective case reported by Xiao and Sun (2007) showed while the quantitative precipitation forecast (QPF) was improved by the assimilation of both radial velocity and reflectivity, the impact of reflectivity alone had mixed results.”