Publication Citation
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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Kopacz, M., et al. (2009), Comparison of adjoint and analytical Bayesian inversion methods for constraining Asian sources of carbon monoxide using satellite (MOPITT) measurements of CO columns, J. Geophys. Res., 114, D04305, doi:10.1029/2007JD009264.
Kopacz, M., et al. (2010), Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atmos. Chem. Phys., 10, 855-876, doi:10.5194/acp-10-855-2010.
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.
Liu, J., et al. (2011), CO2 transport uncertainties from the uncertainties in meteorological fields, Geophys. Res. Lett., 38, L12808, doi:10.1029/2011GL047213.
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.
Marquis, J. W., et al. (2017), Estimating Infrared Radiometric Satellite Sea Surface Temperature Retrieval Cold Biases in the Tropics due to Unscreened Optically Thin Cirrus Clouds, J. Atmos. Oceanic Technol., 34, 355-373, doi:10.1175/JTECH-D-15-0226.1.
McCoy, D. T., et al. (2017), The global aerosol-cloud first indirect effect estimated using MODIS, MERRA, and AeroCom, J. Geophys. Res., 122, doi:10.1002/2016JD026141.
Mccoy, D. T., et al. (2017), The Change in Low Cloud Cover in a Warmed Climate Inferred from AIRS, MODIS, and ERA-Interim, J. Climate, 30, 3609-3620, doi:10.1175/JCLI-D-15-0734.1.
McHardy, T. M., et al. (2015), An improved method for retrieving nighttime aerosol optical thickness from the VIIRS Day/Night Band, Atmos. Meas. Tech., 8, 4773-4783, doi:10.5194/amt-8-4773-2015.
Menon, S., et al. (2008), Analyzing signatures of aerosol-cloud interactions from satellite retrievals and the GISS GCM to constrain the aerosol indirect effect, J. Geophys. Res., 113, D14S22, doi:10.1029/2007JD009442.
Naud, C. M., A. Del Genio, and M. Bauer (2006), Observational Constraints on the Cloud Thermodynamic Phase in Midlatitude Storms, J. Climate, 19, 5273-5288.
Naud, C. M., J. Booth, and A. Del Genio (2016), The Relationship between Boundary Layer Stability and Cloud Cover in the Post-Cold-Frontal Region, J. Climate, 29, 8129-8149, doi:10.1175/JCLI-D-15-0700.1.
Oreopoulos, L., et al. (2014), An examination of the nature of global MODIS cloud regimes, J. Geophys. Res., 119, 8362-8383, doi:10.1002/2013JD021409.
Pan, F., and X. Huang (2018), The Spectral Dimension of Modeled Relative Humidity Feedbacks in the CMIP5 Experiments, J. Climate, 31, 10021-10038, doi:10.1175/JCLI-D-17-0491.1.
Polivka, T. N., et al. (2016), Improving Nocturnal Fire Detection with the VIIRS Day-Night Band, IEEE Transactions on Geoscience &amp, Remote Sensing, 9, 5503-5519.
Sharma, A., J. Wang, and E. Lennartson (2017), atmosphere Article Intercomparison of MODIS and VIIRS Fire Products in Khanty-Mansiysk Russia: Implications for Characterizing Gas Flaring from Space, www.mdpi.com/journal/atmosphere, 8, 95, doi:10.3390/atmos8060095.
Shiflett, S. A., et al. (2017), Variation in the urban vegetation, surface temperature, air temperature nexus, Science of the Total Environment, 579, 495-505, doi:10.1016/j.scitotenv.2016.11.069.
Tang, W., et al. (2019), Satellite data reveal a common combustion emission pathway for major cities in China, Atmos. Chem. Phys., 19, 4269-4288, doi:10.5194/acp-19-4269-2019.

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