Andrew M. Sayer
Organization:
NASA Goddard Space Flight Center
University of Maryland, Baltimore County
Email:
Business Address:
NASA GSFC code 616
8800
Greenbelt, MD 20771
United StatesFirst Author Publications:
- Sayer, A. M., et al. (2019), Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land, J. Geophys. Res., 124, 4658-4688, doi:10.1029/2018JD029598.
- Sayer, A. M., et al. (2019), Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data, Atmos. Meas. Tech., 12, 3595-3627, doi:10.5194/amt-12-3595-2019.
- 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.
- Sayer, A. M., et al. (2017), Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the “Deep Blue” Aerosol Project, J. Geophys. Res., 122, doi:10.1002/2017JD027412.
- Sayer, A. M., et al. (2017), Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements, J. Geophys. Res., 122, doi:10.1002/2017JD026934.
- Sayer, A. M., et al. (2016), Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies, J. Geophys. Res., 121, doi:10.1002/2015JD024729.
- Sayer, A. M., et al. (2016), Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies, J. Geophys. Res., 121, 4830-4854, doi:10.1002/2015JD024729.
Co-Authored Publications:
- Gryspeerdt, E., et al. (2023), Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions, Atmos. Chem. Phys., doi:10.5194/acp-23-4115-2023.
- Hammer, M. S., 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.
- Kahn, R., et al. (2023), Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within-The-Atmosphere Observations: A Three-Way Street, Rev. Geophys., 61, e2022RG000796, doi:10.1029/2022RG000796.
- van Donkelaar, A., et al. (2022), Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty, Environ. Sci. Technol., doi:10.1021/acs.est.1c05309.
- 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.
- 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.
- Mallet, M., et al. (2020), Direct and semi-direct radiative forcing of biomass burning aerosols over the Southeast Atlantic (SEA) and its sensitivity to absorbing properties: a regional climate modeling study, Atmos. Chem. Phys., acp-2020-317 (manuscript in preparation).
- 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.
- Hsu, N. C., et al. (2019), VIIRS Deep Blue Aerosol Products Over Land: Extending the EOS Long‐Term Aerosol Data Records, J. Geophys. Res., 124, 4026-4053, doi:10.1029/2018JD029688.
- Mallet, M., et al. (2019), Simulation of the transport, vertical distribution, optical properties and radiative impact of smoke aerosols with the ALADIN regional climate model during the ORACLES-2016 and LASIC experiments, Atmos. Chem. Phys., 19, 4963-4990, doi:10.5194/acp-19-4963-2019.
- Hsu, N. C., et al. (2017), Retrieving near-global aerosol loading over land and ocean from AVHRR, J. Geophys. Res., 122, doi:10.1002/2017JD026932.
- Kahn, R., et al. (2016), The Sensitivity of SeaWiFS Ocean Color Retrievals to Aerosol Amount and Type, J. Atmos. Oceanic Technol., 33, 1185-1209, doi:10.1175/JTECH-D-15-0121.1.
- Lee, J., et al. (2016), Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia, Aerosol and Air Quality Research, 16, 2831-2842, doi:10.4209/aaqr.2015.08.0506.
- Li, C., et al. (2016), Satellite observation of pollutant emissions from gas flaring activities near the Arctic, Atmos. Environ., 133, 1-11, doi:10.1016/j.atmosenv.2016.03.019.