Adaptive bias correction for satellite data in a numerical weather prediction system

By Thomas Auligne, A. P. McNally, Dick Dee. 2007

408 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/6335ce257fcfe03d2060694d1a9279fe7f719d2e

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Citations in the corpus

Direct 4D‐Var assimilation of all‐sky radiances. Part II: Assessment (2010, background): “An adaptive bias correction (Variational Bias Correction, VarBC; Dee, 2004; Auligné et al., 2007) is applied to the majority of satellite observations, including the microwave imagers.”
Observation errors in all‐sky data assimilation (2011, methodology): “Variational Bias Correction (VarBC; Dee, 2004; Auligné et al., 2007) is used to remove systematic biases between the model and observations.”
The ERA5 global reanalysis (2020, methodology): “P = 𝜕b∕𝜕𝜷 is a matrix representation of the VarBC predictors from Equation (3).”
The CAMS interim Reanalysis of Carbon Monoxide, Ozone and Aerosol for 2003–2015 (2016, methodology): “Variational bias correction (Dee, 2004; McNally et al., 2006; Auligné et al., 2007; Dee and Uppala, 2009) was applied to the MODIS AOD data, as well as to ozone column data from the Ozone Monitoring Instrument (OMI), the SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric…”
Improved scattering radiative transfer for frozen hydrometeors at microwave frequencies (2014, methodology): “Bias coefficients are derived within the analysis system using variational bias correction (VarBC,Dee, 2004; Auligné et al. , 2007). There are no cloud-related predictors and the bias correction is not intended to represent cloud- or precipitation-dependent biases. The convention in this paper is to”
Enhanced radiance bias correction in the National Centers for Environmental Prediction's Gridpoint Statistical Interpolation data assimilation system (2014, methodology): “, 1991; Parrish and Derber, 1992) and later in the Gridpoint Statistical Interpolation (GSI) system (Wu et al., 2002; Purser et al., 2003a, 2003b) at the National Centers for Environmental Prediction (NCEP) by Derber and Wu (1998). The variational component of the scheme allowed the air-mass bias co”
Assimilation of Global Positioning System radio occultation data in the ECMWF ERA–Interim reanalysis (2010, methodology): “This idea was recently applied at the European Centre for Medium-range Weather Forecasts (ECMWF), under the name of variational bias correction (VarBC: Dee, 2005; Auligné et al., 2007).”
The assimilation of Infrared Atmospheric Sounding Interferometer radiances at ECMWF (2009, methodology): “It is derived through the VarBC bias-correction scheme (Auligné et al., 2007; Auligné and McNally, 2007), which was run for a number of weeks to ensure that the applied bias correction is stable with time.”
On the representation error in data assimilation (2018, positive): “As shown in Jazwinski (1970), the error in the observation operator would produce a bias, m a k ( x ), that needs to be corrected for in w r,a k (Dee, 2005; Auligne et al. , 2007).”