Articles | Volume 16, issue 10
https://doi.org/10.5194/acp-16-6627-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-6627-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Olga V. Kalashnikova
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Kentaroh Suzuki
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan
Amy Braverman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Michael J. Garay
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Ralph A. Kahn
Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
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Cited
13 citations as recorded by crossref.
- Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al. 10.1016/j.atmosenv.2019.117229
- Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling S. Park et al. 10.1016/j.atmosenv.2018.05.021
- How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
- Can We Detect the Brownness or Greenness of the Congo Rainforest Using Satellite-Derived Surface Albedo? A Study on the Role of Aerosol Uncertainties S. Moparthy et al. 10.3390/su11051410
- Probabilistic merging and verification of monthly gridded aerosol products D. Yang & C. Gueymard 10.1016/j.atmosenv.2020.118146
- Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models K. Dawson et al. 10.1002/2017JD026913
- Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al. 10.5194/acp-19-10497-2019
- Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
- Remotely sensed BC columns over rapidly changing Western China show significant decreases in mass and inconsistent changes in number, size, and mixing properties due to policy actions Z. Liu et al. 10.1038/s41612-024-00663-9
- New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water M. Witek et al. 10.5194/amt-11-429-2018
- Aerosol Trends during the Dusty Season over Iran R. Yousefi et al. 10.3390/rs13061045
- Characterization of Wildfire‐Induced Aerosol Emissions From the Maritime Continent Peatland and Central African Dry Savannah with MISR and CALIPSO Aerosol Products H. Lee et al. 10.1002/2017JD027415
- Climatological analysis of aerosol optical properties over East Africa observed from space-borne sensors during 2001–2015 R. Boiyo et al. 10.1016/j.atmosenv.2016.12.050
13 citations as recorded by crossref.
- Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al. 10.1016/j.atmosenv.2019.117229
- Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS: Effects of temporal inhomogeneous sampling S. Park et al. 10.1016/j.atmosenv.2018.05.021
- How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
- Can We Detect the Brownness or Greenness of the Congo Rainforest Using Satellite-Derived Surface Albedo? A Study on the Role of Aerosol Uncertainties S. Moparthy et al. 10.3390/su11051410
- Probabilistic merging and verification of monthly gridded aerosol products D. Yang & C. Gueymard 10.1016/j.atmosenv.2020.118146
- Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models K. Dawson et al. 10.1002/2017JD026913
- Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al. 10.5194/acp-19-10497-2019
- Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
- Remotely sensed BC columns over rapidly changing Western China show significant decreases in mass and inconsistent changes in number, size, and mixing properties due to policy actions Z. Liu et al. 10.1038/s41612-024-00663-9
- New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water M. Witek et al. 10.5194/amt-11-429-2018
- Aerosol Trends during the Dusty Season over Iran R. Yousefi et al. 10.3390/rs13061045
- Characterization of Wildfire‐Induced Aerosol Emissions From the Maritime Continent Peatland and Central African Dry Savannah with MISR and CALIPSO Aerosol Products H. Lee et al. 10.1002/2017JD027415
- Climatological analysis of aerosol optical properties over East Africa observed from space-borne sensors during 2001–2015 R. Boiyo et al. 10.1016/j.atmosenv.2016.12.050
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Latest update: 21 Nov 2024
Short summary
The Multi-angle Imaging SpectroRadiometer (MISR) on NASA's TERRA satellite has provided a global distribution of aerosol amount and type information for each month over 16+ years since March 2000. This study analyzes, for the first time, characteristics of observed and simulated distributions of aerosols for three broad classes of aerosols: spherical nonabsorbing, spherical absorbing, and nonspherical – near or downwind of their major source regions.
The Multi-angle Imaging SpectroRadiometer (MISR) on NASA's TERRA satellite has provided a global...
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