The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics

By Florence Rabier, H. Järvinen, E. Klinker, Jean-François Mahfouf, A. Simmons. 2007

862 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d3ca6ae9ff21a88a125f0b78148b3865c1f79b65

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Citations in the corpus

Observation errors in all‐sky data assimilation (2011, methodology): “ECMWF produces global forecasts and analyses using a 4DVar data assimilation system (Rabier et al., 2000).”
Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments (2010, methodology): “…approaches are used at many numerical weather prediction (NWP) centers for operationally assimilating meteorological observations to provide a single ‘‘best’’ estimate of the current atmospheric state (e.g., Parrish and Derber, 1992; Rabier et al. 2000; Gauthier et al. 2007; Rawlins et al. 2007).”
Adaptive bias correction for satellite data in a numerical weather prediction system (2007, methodology): “Following Harris and Kelly (2001), the parametric form used here to represent the observation bias is a linear regression based on N state-dependent predictors pi(x), with associated coefficients βi .”
Background‐error correlation length‐scale estimates and their sampling statistics (2008, methodology): “An application to an ensemble of NWP forecasts has been studied, by using an operational non-stretched version of the Arpège model (Courtier and Geleyn, 1988), whose assimilation system is a 4D-Var scheme (Rabier et al., 2000; Veersé and Thépaut, 1998).”
Conditioning and preconditioning of the variational data assimilation problem (2011, methodology): “In practice an incremental version of VAR is implemented in many operational centres, including the Met Office [11] and the European Centre for Medium-Range Weather Forecasting (ECMWF) [10].”
Satellite cloud and precipitation assimilation at operational NWP centres (2011, background): “…(linearized Smith (1990) large-scale precipitation scheme cloud scheme + basic autoconversion) Linearized N/A Stiller and Ballard (2009b) Simplified Arakawa–Schubert convection Data assimilation System Global: Incremental 4D-Var Global and NAE: Global and regional (GSI): (Rabier et al., 2000).”
Four-dimensional ensemble-variational data assimilation for global deterministic weather prediction (2013, methodology): “…weather prediction (NWP) centers have been increasingly adopting the fourdimensional variational data assimilation (4D-Var) approach for global (Rabier et al., 2000; Rabier, 2005; Rawlins et al., 2007; Gauthier et al., 2007) and regional (Honda et al., 2005; Tanguay et al., 2012) deterministic…”
Model‐error estimation in 4D‐Var (2007, methodology): “The European Centre for Medium-Range Weather Forecasts (ECMWF) uses the four-dimensional variational dataassimilation system (4D-Var) (Rabier et al., 2000; Mahfouf and Rabier, 2000; Klinker et al., 2000; Andersson et al., 2004).”
Improved scattering radiative transfer for frozen hydrometeors at microwave frequencies (2014, methodology): “2 ECMWF system ECMWF produces global forecasts and analyses using a 4-D-Var data assimilation 15 system (Rabier et al., 2000).”
ECMWF Analyses and Forecasts of Stratospheric Winter Polar Vortex Breakup: September 2002 in the Southern Hemisphere and Related Events (2005, methodology): “, through introduction of variational techniques (Andersson et al. 1998; Rabier et al. 2000) and direct radiance assimilation (McNally et al.”
A Dual-Weighted Approach to Order Reduction in 4DVAR Data Assimilation (2008, methodology): “The incremental approach (Courtier et al. 1994) is currently used at numerical weather prediction centers implementing 4DVAR (Rabier et al. 2000).”