Andrew Lacis
Organization:
NASA Goddard Institute for Space Studies
Email:
Business Address:
New York, NY
United StatesFirst Author Publications:
- Lacis, A., and M. Mishchenko (1995), Climate forcing, climate sensitivity, and climate response: a radiative modeling perspective on atmospheric aerosols, Aerosol Forcing of Climate, 11-42.
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. L., 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., 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., 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., B. E. Carlson, and 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.
- Mishchenko, M., L. Travis, and A. Lacis (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., B. E. Carlson, and A. Lacis (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., B. E. Carlson, and A. Lacis (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., B. E. Carlson, and A. Lacis (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. A., 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., 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., 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., 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), Climate simulations for 1880-2003 with GISS modelE, Clim. Dyn., 29, 661-696, doi:10.1007/s00382-007-0255-8.
- 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.
- Mishchenko, M., et al. (2007), Long-term satellite record reveals likely recent aerosol trend, Science, 315, 1543, doi:10.1126/science.1136709.
- Mishchenko, M., 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. A., 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), Automated cloud screening algorithm for MFRSR data, Geophys. Res. Lett., 31, L04118, doi:10.1029/2003GL019105.
- Alexandrov, M. D., et al. (2004), Scaling Properties of Aerosol Optical Thickness Retrieved from Ground-Based Measurements, J. Atmos. Sci., 61, 1024-1039.
- 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.