Alumni Bibliographies

Publications by Jing Li

This citation list is intended to list papers published while the author was on staff at the NASA Goddard Institute for Space Studies. It may include papers before or after that period if another GISS researcher was a co-author.

Early On-Line

Li, J., X. Li, B.E. Carlson, R.A. Kahn, A.A. Lacis, O. Dubovik, and T. Nakajima, 2016: Reducing multi-sensor satellite monthly mean aerosol optical depth uncertainty, Part I: Objective assessment of current AERONET locations. J. Geophys. Res. Atmos., early on-line, doi:10.1002/2016JD025469.

2015

Li, J., B.E. Carlson, W.B. Rossow, A.A. Lacis, and Y.-C. Zhang, 2015: An intercomparison of the spatio-temporal variability of satellite- and ground-based cloud datasets using spectral analysis techniques. J. Climate, 28, no. 14, 5716-5736, doi:10.1175/JCLI-D-14-00537.1.

Li, J., B.E. Carlson, and A.A. Lacis, 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.

Li, J., B.E. Carlson, and A.A. Lacis, 2015: Using single scattering albedo spectral curvature to characterize East Asian aerosol mixtures. J. Geophys. Res. Atmos., 120, no. 5, 2037-2052, doi:10.1002/2014JD022433.

2014

Li, J., B.E. Carlson, O. Dubovik, and A. Lacis, 2014: Recent trends in aerosol optical properties derived from AERONET measurements. Atmos. Chem. Phys., 14, 12271-12289, doi:10.5194/acp-14-12271-2014.

Li, J., B.E. Carlson, and A.A. Lacis, 2014: Application of spectral analysis techniques in the inter-comparison 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.

Li, J., B.E. Carlson, and A.A. Lacis, 2014: Application of spectral analysis techniques in the inter-comparison of aerosol data, Part II: Using maximum covariance analysis to effectively compare spatio-temporal variability of satellite and AERONET measured aerosol optical depth. J. Geophys. Res. Atmos., 119, no. 1, 153-166, doi:10.1002/2013JD020537.

Li, J., B.E. Carlson, and A.A. Lacis, 2014: Application of spectral analysis techniques in the inter-comparison of aerosol data, Part III: Using combined PCA to compare spatio-temporal variability of MODIS, MISR and OMI aerosol optical depth. J. Geophys. Res. Atmos., 119, no. 7, 4017-4042, doi:10.1002/2013JD020538.

Li, J., B.E. Carlson, and A.A. Lacis, 2014: Revisiting AVHRR tropospheric aerosol trends using principal component analysis. J. Geophys. Res. Atmos., 119, no. 6, 3309-3320, doi:10.1002/2013JD020789.

2013

Li, J., B.E. Carlson, and A.A. Lacis, 2013: Application of spectral analysis techniques in the inter-comparison of aerosol data, Part I: An EOF approach to analyze the spatial-temporal variability of aerosol optical depth using multiple remote sensing data sets. J. Geophys. Res. Atmos., 118, no. 15, 8640-8648, doi:10.1002/jgrd.50686.

2012

Mishchenko, M.I., L. Liu, I.V. Geogdzhayev, J. Li, B.E. Carlson, A.A. Lacis, B. Cairns, and L.D. Travis, 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.

2011

Li, J., 2011: Improving Our Understanding of Atmospheric Aerosols and Their Climate Effects: Implications for Satellite Retrievals and GCM Simulations. Ph.D. thesis. Columbia University.

Li, J., B.E. Carlson, and A.A. Lacis, 2011: El Niño-Southern Oscillation correlated aerosol Ångström Exponent anomaly over the tropical Pacific discovered in satellite measurements. J. Geophys. Res., 116, D20204, doi:10.1029/2011JD015733.

2010

Li, J., L. Liu, A.A. Lacis, and B.E. Carlson, 2010: An optimal fitting approach to improve the GISS ModelE aerosol optical property parameterization using AERONET data. J. Geophys. Res., 115, D16211, doi:10.1029/2010JD013909.

2009

Li, J., B.E. Carlson, and A.A. Lacis, 2009: A study on the temporal and spatial variability of absorbing aerosols using total ozone mapping spectrometer and ozone monitoring instrument aerosol index data. J. Geophys. Res., 114, D09213, doi:10.1029/2008JD011278.

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