Organization
University of Maryland, Baltimore County
Email
Business Address
Atmospheric and Oceanic Science
Computer and Space Sciences Building
College Park, MD 20742-2425
United States
Co-Authored Publications
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Kang, J., et al. (2012), Estimation of surface carbon fluxes with an advanced data assimilation methodology, J. Geophys. Res., 117, D24101, doi:10.1029/2012JD018259.
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Liu, J., et al. (2012), Simultaneous assimilation of AIRS Xco2 and meteorological observations in a carbon climate model with an ensemble Kalman filter, J. Geophys. Res., 117, D05309, doi:10.1029/2011JD016642.
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Kang, J., et al. (2011), “Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation, J. Geophys. Res., 116, D09110, doi:10.1029/2010JD014673.
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Liu, J., et al. (2011), CO2 transport uncertainties from the uncertainties in meteorological fields, Geophys. Res. Lett., 38, L12808, doi:10.1029/2011GL047213.
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Liu, J., et al. (2009), Analysis sensitivity calculation in an ensemble Kalman filter, Q. J. R. Meteorol. Soc., 135, 1842-1851, doi:10.1002/qj.511.
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Liu, J., et al. (2009), Univariate and Multivariate Assimilation of AIRS Humidity Retrievals with the Local Ensemble Transform Kalman Filter, Mon. Wea. Rev., 137, 3918-3932, doi:10.1175/2009MWR2791.1.
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Liu, J., et al. (2008), Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM – perfect model experiments, Nonlin. Processes Geophys., 15, 645-659.
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Liu, J., and E. Kalnay (2008), Estimating observation impact without adjoint model in an ensemble Kalman filter, Q. J. R. Meteorol. Soc., 134, 1327-1335, doi:10.1002/qj.280.
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Liu, J., and E. Kalnay (2007), Simple Doppler Wind Lidar adaptive observation experiments with 3D-Var and an ensemble Kalman filter in a global primitive equations model, Geophys. Res. Lett., 34, L19808, doi:10.1029/2007GL030707.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
