An overview of the variational assimilation in the ALADIN/France numerical weather‐prediction system

By Claude Fischer, T. Montmerle, L. Berre, L. Auger, S. Ştefănescu. 2005

175 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/65db343c33df9b3394175eadfd5a329821494ebe

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Citations in the corpus

• Dynamical kernel of the Aladin–NH spectral limited‐area model: Revised formulation and sensitivity experiments (2010, methodology): “The AROME NWP facility is built by coupling the dynamical kernel Aladin–NH to a specific physics parameterization package targeted to kilometric resolutions, and to a data assimilation system adapted from the Aladin 3D variational system (Fischer et al., 2005).”
• Inhomogeneous Background Error Modeling for WRF-Var Using the NMC Method (2014, methodology): “Vorticity and (unbalanced) divergence are used in the data assimilation systems at ECMWF (Courtier et al. 1998) and Météo France (Fischer et al. 2005).”
• A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics (2008, methodology): “Météo-France, for example, have already published plans for a VAR-based high-resolution limitedarea system with a model of 2.5 km grid length (Fischer et al., 2005).”
• Background‐error covariances for a convective‐scale data‐assimilation system: AROME–France 3D‐Var (2011, background): “…with a 15 km horizontal resolution over France, and the ALADIN–France limitedarea model (Aladin, 1997) that covers Western Europe at a resolution of 9.5 km. ALADIN–France takes its lateral boundary conditions from ARPEGE and its initial state from a 3D-Var data assimilation (Fischer et al., 2005).”
• The AROME-France Convective-Scale Operational Model (2011, methodology): “ALADIN-France takes its lateral boundary conditions from ARPEGE and its initial state from a three-dimensional variational data assimilation (3D-Var) scheme (Fischer et al. 2005).”
• Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012, methodology): “…(e.g., Li and Navon, 2001), which can be viewed as simplifications of the KF (since they do not propagate the state covariance matrix explicitly) have been used operationally, primarily in the numerical weather prediction community (see e.g., Fischer et al., 2005; Lorenc and Rawlins, 2005).”
• Cloud-Resolving Ensemble Simulations of Mediterranean Heavy Precipitating Events: Uncertainty on Initial Conditions and Lateral Boundary Conditions (2011, methodology): “A comprehensive description of the ALADIN 3D-VAR data assimilation scheme used in the present study has been given by Fischer et al. (2005) and Montmerle et al. (2007).”