Organization
NASA Goddard Space Flight Center
University of Maryland
Email
Business Address
NASA Goddard Space Flight Center
8800 Greenbelt Rd
Greenbelt, MD 20771
United States
First Author Publications
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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.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
Co-Authored Publications
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Limbacher, ., et al. (2024), MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm, Atmos. Meas. Tech., 17, 471-498, doi:10.5194/amt-17-471-2024.
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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.
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Limbacher, ., et al. (2022), The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water, Atmos. Meas. Tech., 15, 6865-6887, doi:10.5194/amt-15-6865-2022.
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Hsu, 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.
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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.
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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.
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Hsu, C., et al. (2017), Retrieving near-global aerosol loading over land and ocean from AVHRR, J. Geophys. Res., 122, doi:10.1002/2017JD026932.
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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.
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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.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.