A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment

By Xuguang Wang, D. Barker, C. Snyder, Thomas M. Hamill. 2008

321 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/5f137668e648cadc06078826cc442fb93f7957a2

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Citations in the corpus

An extended specification of flow‐dependent background error variances in the Météo‐France global 4D‐Var system (2011, methodology): “Studies have been conducted on hybrid schemes (Hamill and Snyder, 2000; Lorenc, 2003; Wang et al., 2008) which combine the static 3D-Var B matrix with the flowdependent EnKF B matrix.”
Verification and Calibration of Neighborhood and Object-Based Probabilistic Precipitation Forecasts from a Multimodel Convection-Allowing Ensemble (2012, methodology): “Future work to improve initial ensembles including using an advanced data assimilation method such as the ensemble based data assimilation (e.g., Wang et al. 2008a,b) to sample possible initial conditions at multiple scales is suggested.”
The evolution of the ECMWF hybrid data assimilation system (2016, methodology): “…2004; Wang et al., 2007b) or, more commonly, by augmentation of the variational control variable (‘extended control variable’ method; Barker, 1999; Lorenc, 2003; Buehner, 2005; Wang et al., 2007a, 2008; Buehner et al., 2010a, 2010b; Bishop and Hodyss, 2011; Clayton et al., 2013; Wang et al., 2013).”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, methodology): “As an integrated approach, observing system simulation experiment (OSSE) systems mimic the procedures used to analyze such satellite, balloon, or surface tower observations for specifying states of the atmosphere [24]–[28].”
A non-linear least squares enhanced POD-4DVar algorithm for data assimilation (2015, methodology): “…the existing composite methods in the literature can be roughly divided into three groups, namely, the ‘hybrid’ (e.g. Wang et al., 2008a, 2008b; Clayton et al., 2013), the ‘En4DVar’ (e.g. Zhang et al., 2009; Zhang and Zhang, 2012) and the ‘4DEnVar’ assimilation…”
GSI 3DVar-Based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments (2013, methodology): “1 2013 American Meteorological Society 2010) and implemented for regional (e.g., Wang et al. 2008ab; Wang 2011; Zhang and Zhang 2012; Barker et al. 2012; Li et al. 2012) and global (e.g., Buehner 2005; Buehner et al. 2010a,b; Bishop and Hodyss 2011, Clayton et al. 2012) NWP.”