Additive Noise for Storm-Scale Ensemble Data Assimilation
By D. Dowell, Louis J. Wicker. 2009
147 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/7006cd060cfbcbcdcd356adf763cdf6c0069902f
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Citations in the corpus
- A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part I: Storm-Scale Analyses (2009, methodology): “The comparison is carried out for their 8 May 2003 Oklahoma City supercell case, which is well-documented in the literature (Dowell and Wicker 2009; Romine et al. 2008; Dowell et al. 2004b).”
- CONVECTIVE-SCALE WARN-ON-FORECAST SYSTEM: A vision for 2020 (2009, background): “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 (Fig.”
- Ensemble Kalman Filter Assimilation of Radar Observations of the 8 May 2003 Oklahoma City Supercell: Influences of Reflectivity Observations on Storm-Scale Analyses (2011, methodology): “1), which is being used as a test case in multifaceted studies (Burgess 2004; Dowell et al. 2004a; Hu and Xue 2007; Romine et al. 2008; Dowell and Wicker 2009; Lei et al. 2009).”
- Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges (2014, methodology): “The EnKF DA method was applied to the convective-scale radar DA initially by Snyder and Zhang (2003) for an “identical twin” problem with a perfect prediction model and simulated radial velocity observations, after promising results were shown by Evensen (1994) and Houtekamer and Mitchell (1998) for”