3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part I: Cloud Analysis and Its Impact

By Ming Hu, Ming Xue, Keith A. Brewster. 2006

256 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/e9c83d9e9cb2ee82383f0bc0499f4af4f7f38fda

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Citations in the corpus

CONVECTIVE-SCALE WARN-ON-FORECAST SYSTEM: A vision for 2020 (2009, background): “…al. 2004; Tong and Xue 2005; Caya et al. 2005; Xue et al. 2006; Jung et al. 2008) or real radar observations (Xue et al. 2003; Dowell et al. 2004; Hu et al. 2006; Smith et al. 2008; Weygandt et al. 2008; Dowell and Wicker 2009; Aksoy et al. 2009) to accurately initialize supercell thunderstorms…”
3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR (2006, background): “The addition of the radial velocity improves the forecasts beyond that experienced with the cloud analysis alone.”
Verification and Calibration of Neighborhood and Object-Based Probabilistic Precipitation Forecasts from a Multimodel Convection-Allowing Ensemble (2012, methodology): “All but three members used ARPS three-dimensional variational data assimilation (3DVAR) and cloud analysis package (Gao et al. 2004; Xue et al. 2003; Hu et al. 2006) to assimilate Weather Surveillance Radar-1988 Doppler (WSR-88D) radial velocity and reflectivity along with surface pressure,…”
Assimilation of Reflectivity Data in a Convective-Scale, Cycled 3DVAR Framework with Hydrometeor Classification (2012, methodology): “The analysis vector x contains the three wind components u, y, and w; potential temperature u; pressure p; and water vapor mixing ratio qy; also, the hydrometer variables are analyzed in a cloud analysis scheme (Hu et al. 2006a).”
Indirect Assimilation of Radar Reflectivity with WRF 3D-Var and Its Impact on Prediction of Four Summertime Convective Events (2013, methodology): “In cloud analysis schemes, the radar reflectivity observations are used to adjust the atmospheric variables, such as cloud condensates, hydrometeors, and in-cloud temperature (e.g., Albers et al. 1996; Zhang et al. 1998; Hu et al. 2006).”
Direct Assimilation of Radar Reflectivity without Tangent Linear and Adjoint of the Nonlinear Observation Operator in the GSI-Based EnVar System: Methodology and Experiment with the 8 May 2003 Oklahoma City Tornadic Supercell (2017, methodology): “Unauthenticated | Downloaded 12/09/20 06:16 PM UTC semi-operational meso- and convective-scale NWP systems such as the Rapid Refresh (RAP), the HighResolution Rapid Refresh (HRRR), and the North AmericanMesoscaleRapidRefresh (NAMRR) adopt the cloud analysis method and a digital filter technique to d”
Assimilation of Simulated Polarimetric Radar Data for a Convective Storm Using the Ensemble Kalman Filter. Part I: Observation Operators for Reflectivity and Polarimetric Variables (2008, background): “that can be assimilated into NWP models (e.g., Hu et al. 2006a, b).”
Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer Using Sounding Observations (2013, methodology): “…Weather Surveillance Radars-1988 Doppler (WSR88Ds) and surface observations were assimilated into the initial conditions of these members identically using a three-dimensional variational data assimilation (3DVAR; Xue et al. 2003; Gao et al. 2004) data and cloud analysis (Hu et al. 2006) system.”
The Impact of Size Sorting on the Polarimetric Radar Variables (2012, background): “…system simulation experiments (OSSEs) (e.g., Snyder and Zhang 2003; Tong and Xue 2005; Jung et al. 2008; Yussouf and Stensrud 2012) as well as real-data experiments (e.g., Hu et al. 2006a,b; Aksoy et al. 2009; Lim and Sun 2010; Schenkman et al. 2011a,b; Dowell et al. 2011; Snook et al. 2011).”
Multiple-Radar Data Assimilation and Short-Range Quantitative Precipitation Forecasting of a Squall Line Observed during IHOP_2002 (2007, methodology): “The ARPS 3DVAR scheme was recently employed in a case study of a cluster of thunderstorms to assimilate single–Doppler observations and predicted each individual thunderstorm with reasonable success (Hu et al. 2006).”