Andrew Lacis

Organization

NASA Goddard Institute for Space Studies

Email

Contact person by email

Business Address

New York, NY
United States

First Author Publications

Lacis, A., and M.I. Mishchenko (1995), Climate forcing, climate sensitivity, and climate response: a radiative modeling perspective on atmospheric aerosols, Aerosol Forcing of Climate, 11-42.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Li, J.1.✉., et al. (2022), in the climate system REVIEwS, Nature, doi:10.1038/scattering.
Kelley, M., et al. (2021), GISS‐E2.1: Configurations and Climatology, J. Adv. Modeling Earth Syst..
Miller, R., et al. (2021), CMIP6 Historical Simulations (1850–2014) With GISS-E2.1, J. Adv. Modeling Earth Syst., ) with GISS-E2.1. Jo, 1850-2014.
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.
Mishchenko, M.I., et al. (2019), Retrieval of volcanic and man-made stratospheric aerosols from orbital polarimetric measurements, Optics Express, 27, A158, doi:10.1364/OE.27.00A158.
Hansen, J., et al. (2017), Young people’s burden: requirement of negative CO2 emissions, Earth Syst. Dynam., 8, 577-616, doi:10.5194/esd-8-577-2017.
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.
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.
Mishchenko, M.I., et al. (2016), First-principles definition and measurement of planetary electromagnetic-energy budget, Journal of the Optical Society of America A, 33, 1126-1132.
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.
Mishchenko, M.I., et al. (2015), Scattering, Encyclopedia of Atmospheric Sciences, 5, 27-36.
Nazarenko, L., et al. (2015), Future climate change under RCP emission scenarios with GISS ModelE2, J. Adv. Modeling Earth Syst., 7, 244-267, doi:10.1002/2014MS000403.
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.
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.
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.
Schmidt, G., et al. (2014), Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, J. Adv. Modeling Earth Syst., 6, 141-184, doi:10.1002/2013MS000265.
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.
Mishchenko, M.I., et al. (2010), Toward unified satellite climatology of aerosol properties. 3. MODIS versus MISR versus AERONET, J. Quant. Spectrosc. Radiat. Transfer, 111, 540-552, doi:10.1016/j.jqsrt.2009.11.003.
Alexandrov, M.D., et al. (2009), Columnar water vapor retrievals from multifilter rotating shadowband radiometer data, J. Geophys. Res., 114, D02306, doi:10.1029/2008JD010543.
Mishchenko, M.I., et al. (2009), Toward unified satellite climatology of aerosol properties: What do fully compatible MODIS and MISR aerosol pixels tell us?, J. Quant. Spectrosc. Radiat. Transfer, 110, 402-408, doi:10.1016/j.jqsrt.2009.01.007.
Alexandrov, M.D., et al. (2008), Characterization of atmospheric aerosols using MFRSR measurements, J. Geophys. Res., 113, D08204, doi:10.1029/2007JD009388.
Alexandrov, M.D., et al. (2007), Optical depth measurements by shadow-band radiometers and their uncertainties, Appl. Opt., 46, 8027-8038.
Hansen, J., et al. (2007), Dangerous human-made interference with climate: a GISS modelE study, Atmos. Chem. Phys., 7, 2287-2312, doi:10.5194/acp-7-2287-2007.
Hansen, J., et al. (2007), Climate simulations for 1880-2003 with GISS modelE, Clim. Dyn., 29, 661-696, doi:10.1007/s00382-007-0255-8.
Mishchenko, M.I., et al. (2007), Long-term satellite record reveals likely recent aerosol trend, Science, 315, 1543, doi:10.1126/science.1136709.
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.
Schmidt, G., et al. (2006), Present-Day Atmospheric Simulations Using GISS ModelE: Comparison to In Situ, Satellite, and Reanalysis Data, J. Climate, 19, 153-192.
Shindell, D., et al. (2006), Role of tropospheric ozone increases in 20th-century climate change, J. Geophys. Res., 111, D08302, doi:10.1029/2005JD006348.
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.
Hansen, J., et al. (2005), Efficacy of climate forcings, J. Geophys. Res., 110, D18104, doi:10.1029/2005JD005776.
Alexandrov, M.D., et al. (2004), Scaling Properties of Aerosol Optical Thickness Retrieved from Ground-Based Measurements, J. Atmos. Sci., 61, 1024-1039.
Alexandrov, M.D., et al. (2004), Automated cloud screening algorithm for MFRSR data, Geophys. Res. Lett., 31, L04118, doi:10.1029/2003GL019105.
Sato, M., et al. (2003), Global atmospheric black carbon inferred from AERONET, Proc. Natl. Acad. Sci., 100, doi:10.1073/pnas.0731897100.
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.
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.
Alexandrov, M.D., and A. Lacis (2000), A new three-parameter cloud/aerosol particle size distribution based on the generalized inverse Gaussian density function, Applied Mathematics and Computation, 116, 153-165.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Andrew Lacis

National Aeronautics and Space Administration

National Aeronautics and
Space Administration