Andrew A. Lacis

Affiliations: 
Earth and Environmental Sciences Columbia University, New York, NY 
Area:
Atmospheric Sciences
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"Andrew Lacis"
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Publications

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Kelley M, Schmidt GA, Nazarenko LS, et al. (2020) GISS-E2.1: Configurations and Climatology. Journal of Advances in Modeling Earth Systems. 12: e2019MS002025
Rind D, Orbe C, Jonas J, et al. (2020) GISS Model E2.2: A Climate Model Optimized for the Middle Atmosphere—Model Structure, Climatology, Variability, and Climate Sensitivity Journal of Geophysical Research: Atmospheres. 125
Mishchenko MI, Dlugach JM, Lacis AA, et al. (2019) Retrieval of volcanic and man-made stratospheric aerosols from orbital polarimetric measurements. Optics Express. 27: A158-A170
Carlson B, Lacis A, Colose C, et al. (2019) Spectral Signature of the Biosphere: NISTAR Finds It in Our Solar System From the Lagrangian L‐1 Point Geophysical Research Letters. 46: 10679-10686
Li J, Li X, Carlson BE, et al. (2017) Reducing Multi-sensor Monthly Mean Aerosol Optical Depth Uncertainty Part II: Optimal Locations for Potential Ground Observation Deployments. Journal of Geophysical Research. Atmospheres : Jgr. 3920-3928
Hansen J, Sato M, Kharecha P, et al. (2017) Young people's burden: requirement of negative CO<sub>2</sub> emissions Earth System Dynamics. 8: 577-616
Li J, Li X, Carlson BE, et al. (2016) Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations. Journal of Geophysical Research. Atmospheres : Jgr. 121: 13609-13627
Li J, Carlson BE, Dubovik O, et al. (2015) Corrigendum to "Recent trends in aerosol optical properties derived from AERONET measurements" published in Atmos. Chem. Phys., 14, 12271-12289, 2014 Atmospheric Chemistry and Physics. 15: 1599-1599
Li J, Carlson BE, Rossow WB, et al. (2015) An intercomparison of the spatiotemporal variability of satellite- and ground-based cloud datasets using spectral analysis techniques Journal of Climate. 28: 5716-5736
Li J, Carlson BE, Lacis AA. (2015) How well do satellite AOD observations represent the spatial and temporal variability of PM2.5 concentration for the United States? Atmospheric Environment. 102: 260-273
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