Indirect Assimilation of Radar Reflectivity with WRF 3D-Var and Its Impact on Prediction of Four Summertime Convective Events
By Hongli Wang, Juanzhen Sun, Shuiyong Fan, Xiangyu Huang. 2013
177 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/6a28caa09842241e96871f61c3aadc8a3aa4f040
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges (2014, methodology): “A rapidly cycled 3D-Var system based on WRF was also implemented by the Beijing Meteorological Bureau (BMB) during the 2008 Summer Olympics and has been running operationally since then.”
- Analysis of Fractions Skill Score properties for random precipitation fields and ECMWF forecasts (2016, methodology): “Many studies use the FSS for verification of precipitation (e.g. Baldauf et al., 2011; Rennie et al., 2011; Sobash et al., 2011; Romine et al., 2013; Wang et al., 2013a, 2013b).”
- 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): “…2009; Yussouf and Stensrud 2010; Lu and Xu 2009; Xue et al. 2009; Zhang et al. 2009; Dowell et al. 2011; Gao and Stensrud 2012; Sun and Wang 2013; Wang et al. 2013; Yussouf et al. 2013; Johnson et al. 2015) investigated the impact of radar data assimilation and indicated the benefits…”