Organization
NASA Goddard Institute for Space Studies
Email
Business Address
New York, NY
United States
Co-Authored Publications
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Li, J., et al. (2020), Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach, J. Geophys. Res., 125, 1-17, doi:10.1029/2019JD031884.
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Li, J., et al. (2017), Reducing multisensor monthly mean aerosol optical depth uncertainty: 2. Optimal locations for potential ground observation deployments, J. Geophys. Res., 122, doi:10.1002/2016JD026308.
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Li, J., et al. (2016), Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations, J. Geophys. Res., 121, doi:10.1002/2016JD025469.
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Li, J., et al. (2015), How well do satellite AOD observations represent the spatial and temporal variability of PM2.5 concentration for the United States?, Atmos. Environ., 102, 260-273, doi:10.1016/j.atmosenv.2014.12.010.
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Li, J., et al. (2014), Application of spectral analysis techniques to the intercomparison of aerosol data - Part 4: Synthesized analysis of multisensor satellite and ground-based AOD measurements using combined maximum covariance analysis, Atmos. Meas. Tech., 7, 2531-2549, doi:10.5194/amt-7-2531-2014.
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Li, J., et al. (2014), Application of spectral analysis techniques in the intercomparison of aerosol data: Part III. Using combined PCA to compare spatiotemporal variability of MODIS, MISR, and OMI aerosol optical depth, J. Geophys. Res., 119, 4017-4042, doi:10.1002/2013JD020538.
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Li, J., et al. (2014), Application of spectral analysis techniques in the intercomparison of aerosol data. Part II: Using maximum covariance analysis to effectively compare spatiotemporal variability of satellite and AERONET measured aerosol optical depth, J. Geophys. Res., 119, 153-166, doi:10.1002/2013JD020537.
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Mishchenko, M.I., et al. (2012), Aerosol retrievals from channel-1 and -2 AVHRR radiances: Long-term trends updated and revisited, J. Quant. Spectrosc. Radiat. Transfer, 113, 1974-1980, doi:10.1016/j.jqsrt.2012.05.006.
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Alexandrov, M.D., et al. (2008), Characterization of atmospheric aerosols using MFRSR measurements, J. Geophys. Res., 113, D08204, doi:10.1029/2007JD009388.
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Chen, J., et al. (2008), The Spatiotemporal Structure of Twentieth-Century Climate Variations in Observations and Reanalyses. Part II: Pacific Pan-Decadal Variability, J. Climate, 21, 2634-2650, doi:10.1175/2007JCLI2012.1.
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Chen, J., et al. (2008), The Spatiotemporal Structure of Twentieth-Century Climate Variations in Observations and Reanalyses. Part I: Long-Term Trend, J. Climate, 21, 2611-2633, doi:10.1175/2007JCLI2011.1.
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Mishchenko, M.I., et al. (2007), Long-term satellite record reveals likely recent aerosol trend, Science, 315, 1543, doi:10.1126/science.1136709.
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Mishchenko, M.I., et al. (2007), Past, present, and future of global aerosol climatologies derived from satellite observations: A perspective, J. Quant. Spectrosc. Radiat. Transfer, 106, 325-347, doi:10.1016/j.jqsrt.2007.01.007.
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Alexandrov, M.D., et al. (2005), Separation of fine and coarse aerosol modes in MFRSR data sets, J. Geophys. Res., 110, D13204, doi:10.1029/2004JD005226.
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Alexandrov, M.D., et al. (2004), Scaling Properties of Aerosol Optical Thickness Retrieved from Ground-Based Measurements, J. Atmos. Sci., 61, 1024-1039.
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Alexandrov, M.D., et al. (2004), Automated cloud screening algorithm for MFRSR data, Geophys. Res. Lett., 31, L04118, doi:10.1029/2003GL019105.
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Alexandrov, M.D., et al. (2002), Remote Sensing of Atmospheric Aerosols and Trace Gases by Means of Multifilter Rotating Shadowband Radiometer. Part II: Climatological Applications, J. Atmos. Sci., 59, 544-566.
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Alexandrov, M.D., et al. (2002), Remote Sensing of Atmospheric Aerosols and Trace Gases by Means of Multifilter Rotating Shadowband Radiometer. Part I: Retrieval Algorithm, J. Atmos. Sci., 59, 524-543.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.