Alexei Lyapustin

Organization

NASA Goddard Space Flight Center

Email

Contact person by email

Business Phone

Work

:

(301) 614-5998

Business Address

NASA GSFC, code 613
Greenbelt, MD 20771
United States

First Author Publications

Lyapustin, A., et al. (2021), Retrievals of Aerosol Optical Depth and Spectral Absorption From, Front. Remote Sens., 2, 645794, doi:10.3389/frsen.2021.645794.
Lyapustin, A., et al. (2021), A Comparison of Multi-Angle Implementation of Atmospheric Correction and MOD09 Daily Surface Reflectance Products From MODIS, Front. Remote Sens., 2, 712093, doi:10.3389/frsen.2021.712093.
Lyapustin, A., et al. (2020), MAIAC Thermal Technique for Smoke Injection Height From MODIS, IEEE Geosci. Remote Sens. Lett., 17, 730-734, doi:10.1109/LGRS.2019.2936332.
Lyapustin, A., et al. (2011), Reduction of aerosol absorption in Beijing since 2007 from MODIS and AERONET, Geophys. Res. Lett., 38, L10803, doi:10.1029/2011GL047306.
Lyapustin, A., et al. (2010), Analysis of snow bidirectional reflectance from ARCTAS Spring-2008 Campaign, Atmos. Chem. Phys., 10, 4359-4375, doi:10.5194/acp-10-4359-2010.

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

Co-Authored Publications

Wei, J., et al. (2024), Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.
Hammer, ., et al. (2023), Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates, Remote Sensing of Environment, 294, 113624, doi:10.1016/j.rse.2023.113624.
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.
van Donkelaar, ., et al. (2022), Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty, Environ. Sci. Technol., doi:10.1021/acs.est.1c05309.
Epic:, V.2.M.A., et al. (2021), Atmospheric Correction of DSCOVR, Front. Remote Sens., 2, 748362, doi:10.3389/frsen.2021.748362.
Hammer, M.S., et al. (2021), The Authors, some Effects of COVID-19 lockdowns on fine particulate rights reserved; exclusive licensee matter concentrations American Association for the Advancement of Science. No claim to, Hammer et al., Sci. Adv., 7, eabg7670.
Ye, X., et al. (2021), Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire, Atmos. Chem. Phys., 21, 14427-14469, doi:10.5194/acp-21-14427-2021.
Ye, X., et al. (2021), Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire, Atmos. Chem. Phys., doi:10.5194/acp-2021-223.
Hammer, M.S., et al. (2020), Improved Global Estimates of Fine Particulate Matter Concentrations and Trends Derived from Updated Satellite Retrievals, Modeling Advances, and Additional Ground-Based Monitors, Environ. Sci. Tech., 54, 7879-7890, doi:10.1021/acs.est.0c01764.
Sogacheva, L., et al. (2020), Merging regional and global aerosol optical depth records from major available satellite products, Atmos. Chem. Phys., 20, 2031-2056, doi:10.5194/acp-20-2031-2020.
Ye, X., et al. (2020), Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S., Wildfire Season in the Western U.S.. Remote Sens., 2022, 6113, doi:10.3390/rs14236113.
Chatfield, R.B., et al. (2019), Satellite Mapping of PM2.5 Episodes in the Wintertime San Joaquin Valley: A “Static” Model Using Column Water Vapor, Atmos. Chem. Phys., doi:10.5194/acp-2019-262.
Chowdhury, S., et al. (2019), Tracking ambient PM2.5 build-up in Delhi national capital region during the dry T season over 15 years using a high-resolution (1 km) satellite aerosol dataset, Atmos. Environ., 204, 142-150, doi:10.1016/j.atmosenv.2019.02.029.
Joiner, J., et al. (2018), Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data, doi:10.3390/rs10091346.
Jovanovic, D.J.D.V., et al. (2018), Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA, Terms of Use, 12, 042603, doi:10.1117/1.JRS.12.042603.
Levy, R.C., et al. (2018), Exploring systematic offsets between aerosol products from the two MODIS sensors, Atmos. Meas. Tech., 11, 4073-4092, doi:10.5194/amt-11-4073-2018.
Marshak, A., et al. (2018), Earth Observations From Dscovr Epic Instrument, Bull. Am. Meteorol. Soc., 1829-1850, doi:10.1175/BAMS-D-17-0223.1.
Sayer, A.M., et al. (2018), Validation of SOAR VIIRS Over-Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record, J. Geophys. Res., 123, doi:10.1029/2018JD029465.
van Donkelaar, ., et al. (2016), Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors, Environ. Sci. Technol., 50, 3762-3772, doi:10.1021/acs.est.5b05833.
Veselovskii, I., et al. (2015), Characterization of forest fire smoke event near Washington, DC in summer 2013 with multi-wavelength lidar, Atmos. Chem. Phys., 15, 1647-1660, doi:10.5194/acp-15-1647-2015.
Eck, T.F., et al. (2014), Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds, Atmos. Chem. Phys., 14, 11633-11656, doi:10.5194/acp-14-11633-2014.
Xu, X., et al. (2014), 10-year spatial and temporal trends of PM2.5 concentrations in the southeastern US estimated using high-resolution satellite data, Atmos. Chem. Phys., 14, 6301-6314, doi:10.5194/acp-14-6301-2014.
Yang, Y., et al. (2013), A method of retrieving cloud top height and cloud geometrical thickness with oxygen A and B bands for the Deep Space Climate Observatory (DSCOVR) mission: Radiative transfer simulations, J. Quant. Spectrosc. Radiat. Transfer, 122, 141-149, doi:10.1016/j.jqsrt.2012.09.017.
Knyazikhin, Y., et al. (2012), Hyperspectral remote sensing of foliar nitrogen content, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1210196109.
Korkin, S., et al. (2012), On the accuracy of double scattering approximation for atmospheric polarization computations, J. Quant. Spectrosc. Radiat. Transfer, 113, 172-181, doi:10.1016/j.jqsrt.2011.10.008.
Gatebe, C.K., et al. (2005), Airborne Spectral Measurements of Ocean Directional Reflectance, J. Atmos. Sci., 62, 1072-1092.

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

National Aeronautics and Space Administration

National Aeronautics and
Space Administration