Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1157-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-1157-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2015
Research article |
| 09 Mar 2015
Improving satellite-retrieved aerosol microphysical properties using GOCART data
S. Li
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
now at: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of CAS and Beijing Normal University, Beijing, 100101, China
Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
M. Chin
Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
M. J. Garay
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
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- Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models H. Lee et al. 10.5194/acp-16-6627-2016
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- Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment S. Bibi et al. 10.1016/j.atmosenv.2016.11.052
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- Assessment and Improvement of MISR Angstrom Exponent and Single-Scattering Albedo Products Using AERONET Data in China Y. Si et al. 10.3390/rs9070693
- A review of advances in the retrieval of aerosol properties by remote sensing multi-angle technology Y. Si et al. 10.1016/j.atmosenv.2020.117928
- A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data A. Mereuţă et al. 10.5194/acp-22-5071-2022
- Trans-boundary aerosol transport during a winter haze episode in China revealed by ground-based Lidar and CALIPSO satellite K. Qin et al. 10.1016/j.atmosenv.2016.06.042
- Spatial analysis of aerosol optical depth obtained by air quality modelling and SEVIRI satellite observations over Portugal A. Fernandes et al. 10.1016/j.apr.2018.07.011
- Inter-comparison of model-simulated and satellite-retrieved componential aerosol optical depths in China S. Li et al. 10.1016/j.atmosenv.2016.06.075
- Multisensor Data Synergy of Terra-MODIS, Aqua-MODIS, and Suomi NPP-VIIRS for the Retrieval of Aerosol Optical Depth and Land Surface Reflectance Properties S. Shi et al. 10.1109/TGRS.2018.2835508
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Saved (final revised paper)
Latest update: 27 Dec 2024
Short summary
We demonstrate a post-processing technique to improve MISR-retrieved aerosol optical properties when information content is low. By filtering the list of aerosol mixtures that pass the MISR retrieval acceptance criteria using pre-defined discrepancy thresholds between MISR and GOCART model simulations, the adjusted MISR Angstrom exponent (ANG) and absorbing AOD (AAOD) agree significantly better with sun-photometer validation data, especially when AOD<0.2 for ANG and AOD<0.5 for AAOD.
We demonstrate a post-processing technique to improve MISR-retrieved aerosol optical properties...
