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Greg Schuster
Organization:
NASA Langley Research Center
First Author Publications:
- Schuster, G., et al. (2019), A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms, Remote Sensing, 11, doi:10.3390/rs11050498.
- Schuster, G., O. Dubovik, and A. Arola (2016), Remote sensing of soot carbon – Part 1: Distinguishing different absorbing aerosol species, Atmos. Chem. Phys., 16, 1565-1585, doi:10.5194/acp-16-1565-2016.
- Schuster, G., et al. (2016), Remote sensing of soot carbon – Part 2: Understanding the absorption Ångström exponent, Atmos. Chem. Phys., 16, 1587-1602, doi:10.5194/acp-16-1587-2016.
- Schuster, G., et al. (2012), Comparison of CALIPSO aerosol optical depth retrievals to AERONET measurements, and a climatology for the lidar ratio of dust, Atmos. Chem. Phys., 12, 7431-7452, doi:10.5194/acp-12-7431-2012.
- Schuster, G., B. Lin, and O. Dubovik (2009), Remote sensing of aerosol water uptake, Geophys. Res. Lett., 36, L03814, doi:10.1029/2008GL036576.
- Schuster, G., B. Lin, and O. Dubovik (2009), Remote sensing of aerosol water uptake, Geophys. Res. Lett., 36, L03814, doi:10.1029/2008GL036576.
- Schuster, G., O. Dubovik, and B. Holben (2006), Angstrom exponent and bimodal aerosol size distributions, J. Geophys. Res., 111, D07207, doi:10.1029/2005JD006328.
- Schuster, G., et al. (2005), Inferring black carbon content and specific absorption from Aerosol Robotic Network (AERONET) aerosol retrievals, J. Geophys. Res., 110, D10S17, doi:10.1029/2004JD004548.
Co-Authored Publications:
- Marshak, A., et al. (2023), Editorial: DSCOVR EPIC/NISTAR: 5Years of Observing Earth From the First Lagrangian Point, 5 Years of Observing Earth From the First Lagrangian Point The Deep Space Climate Observatory (DSCOVR) was launched in February 2015 to a Sun-Earth, Lagrange-1, orbit, doi:10.3389/frsen.2022.963660.
- Kacenelenbogen, M. S., et al. (2022), Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?, Atmos. Chem. Phys., doi:10.5194/acp-22-3713-2022.
- van Diedenhoven, B., et al. (2022), Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry, Atmos. Meas. Tech., 15, 7411-7434, doi:10.5194/amt-15-7411-2022.
- Chen, C., et al. (2019), Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations, Atmos. Chem. Phys., 19, 14585-14606, doi:10.5194/acp-19-14585-2019.
- Li, L., et al. (2019), Retrieval of aerosol components directly from satellite and ground-based measurements, Atmos. Chem. Phys., 19, 13409-13443, doi:10.5194/acp-19-13409-2019.
- Samset, B. H., et al. (2018), Aerosol absorption: Progress toward global and regional constraints, Current Climate Change Repts., doi:10.1007/s40641-018-0091-4.
- Wang, R., et al. (2018), Spatial Representativeness Error in the Ground-Level Observation Networks for Black Carbon Radiation Absorption, Geophys. Res. Lett., 45, 2106-2114, doi:10.1002/2017GL076817.
- Espinosa, W. R., et al. (2017), Retrievals of aerosol optical and microphysical properties from Imaging Polar Nephelometer scattering measurements, Atmos. Meas. Tech., 10, 811-824, doi:10.5194/amt-10-811-2017.
- Torres, B., et al. (2017), Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm, Atmos. Meas. Tech., 10, 3743-3781, doi:10.5194/amt-10-3743-2017.
- Kazadzis, S., et al. (2016), Aerosol absorption retrieval at ultraviolet wavelengths in a complex environment, Atmos. Meas. Tech., 9, 5997-6011, doi:10.5194/amt-9-5997-2016.
- Wang, R., et al. (2016), Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations, J. Geophys. Res., 121, 5948-5971, doi:10.1002/2015JD024326.
- Liu, Z., et al. (2015), Evaluation of CALIOP 532 nm aerosol optical depth over opaque water clouds, Atmos. Chem. Phys., 15, 1265-1288, doi:10.5194/acp-15-1265-2015.
- Nisantzi, A., et al. (2015), Middle East versus Saharan dust extinction-to-backscatter ratios, Atmos. Chem. Phys., 15, 7071-7084, doi:10.5194/acp-15-7071-2015.
- Chin, M., et al. (2014), Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model, Atmos. Chem. Phys., 14, 3657-3690, doi:10.5194/acp-14-3657-2014.
- Russell, P. B., et al. (2014), A Multi-Parameter Aerosol Classification Method and its Application to Retrievals from Spaceborne Polarimetry, Paper #: 2013JD021411R, J. Geophys. Res..
- Li, Z., et al. (2013), Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter, Atmos. Chem. Phys., 13, 10171-10183, doi:10.5194/acp-13-10171-2013.
- Su, W., et al. (2013), Global all-sky shortwave direct radiative forcing of anthropogenic aerosols from combined satellite observations and GOCART simulations, J. Geophys. Res., 118, 655-669, doi:10.1029/2012JD018294.
- Arola, A., et al. (2011), Inferring absorbing organic carbon content from AERONET data, Atmos. Chem. Phys., 11, 215-225, doi:10.5194/acp-11-215-2011.
- Chen, G., et al. (2011), Observations of Saharan dust microphysical and optical properties from the Eastern Atlantic during NAMMA airborne field campaign, Atmos. Chem. Phys., 11, 723-740, doi:10.5194/acp-11-723-2011.
- Lin, B., et al. (2010), Estimations of climate sensitivity based on top-of-atmosphere radiation imbalance, Atmos. Chem. Phys., 10, 1923-1930, doi:10.5194/acp-10-1923-2010.
- Su, W., et al. (2010), An estimate of aerosol indirect effect from satellite measurements with concurrent meteorological analysis, J. Geophys. Res., 115, D18219, doi:10.1029/2010JD013948.
- Koch, D., et al. (2009), Evaluation of black carbon estimations in global aerosol models, Atmos. Chem. Phys., 9, 9001-9026, doi:10.5194/acp-9-9001-2009.
- Thornhill, L., et al. (2008), The impact of local sources and long-range transport on aerosol properties over the northeast U.S. region during INTEX-NA, J. Geophys. Res., 113, D08201, doi:10.1029/2007JD008666.