Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-429-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-429-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jan 2018
Research article |
| 19 Jan 2018
| 19 Jan 2018
New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water
Marcin L. Witek
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Michael J. Garay
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
David J. Diner
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Michael A. Bull
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Felix C. Seidel
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
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Cited
30 citations as recorded by crossref.
- Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters J. Limbacher & R. Kahn 10.5194/amt-12-675-2019
- Satellite-Derived PM2.5 Composition and Its Differential Effect on Children’s Lung Function K. Chau et al. 10.3390/rs12061028
- Evaluating MODIS and MISR aerosol optical depth retrievals over environmentally distinct sites in Pakistan G. Ali et al. 10.1016/j.jastp.2018.12.008
- How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth A. Sayer & K. Knobelspiesse 10.5194/acp-19-15023-2019
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Assessing the Potential of Geostationary Satellites for Aerosol Remote Sensing Based on Critical Surface Albedo X. Ceamanos et al. 10.3390/rs11242958
- Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley M. Sorek-Hamer et al. 10.3390/rs12040685
- Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. 10.5194/amt-13-593-2020
- Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations K. Knobelspiesse et al. 10.5194/amt-14-3233-2021
- Evaluation of sea salt aerosols in climate systems: global climate modeling and observation-based analyses* Y. Chen et al. 10.1088/1748-9326/ab751c
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A global-scale analysis of the MISR Level-3 aerosol optical depth (AOD) product: Comparison with multi-platform AOD data sources K. Gui et al. 10.1016/j.apr.2021.101238
- Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia M. Franklin et al. 10.3390/rs10081317
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
- A decadal assessment of the climatology of aerosol and cloud properties over South Africa A. Yakubu & N. Chetty 10.5194/acp-22-11065-2022
- Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. 10.1029/2021JD035483
- Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. 10.1029/2019JD032097
- Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters R. Nelson et al. 10.5194/amt-16-4947-2023
- Estimates of African Dust Deposition Along the Trans‐Atlantic Transit Using the Decadelong Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI H. Yu et al. 10.1029/2019JD030574
- Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau Z. Hu et al. 10.5194/acp-20-1507-2020
- Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products J. Wei et al. 10.5194/acp-19-7183-2019
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- Identification and Characterization of Dust Source Regions Across North Africa and the Middle East Using MISR Satellite Observations Y. Yu et al. 10.1029/2018GL078324
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest Y. Yu et al. 10.1029/2020GL088020
- Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
- Introducing the MISR level 2 near real-time aerosol product M. Witek et al. 10.5194/amt-14-5577-2021
30 citations as recorded by crossref.
- Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters J. Limbacher & R. Kahn 10.5194/amt-12-675-2019
- Satellite-Derived PM2.5 Composition and Its Differential Effect on Children’s Lung Function K. Chau et al. 10.3390/rs12061028
- Evaluating MODIS and MISR aerosol optical depth retrievals over environmentally distinct sites in Pakistan G. Ali et al. 10.1016/j.jastp.2018.12.008
- How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth A. Sayer & K. Knobelspiesse 10.5194/acp-19-15023-2019
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Assessing the Potential of Geostationary Satellites for Aerosol Remote Sensing Based on Critical Surface Albedo X. Ceamanos et al. 10.3390/rs11242958
- Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley M. Sorek-Hamer et al. 10.3390/rs12040685
- Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al. 10.5194/amt-13-593-2020
- Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations K. Knobelspiesse et al. 10.5194/amt-14-3233-2021
- Evaluation of sea salt aerosols in climate systems: global climate modeling and observation-based analyses* Y. Chen et al. 10.1088/1748-9326/ab751c
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- A global-scale analysis of the MISR Level-3 aerosol optical depth (AOD) product: Comparison with multi-platform AOD data sources K. Gui et al. 10.1016/j.apr.2021.101238
- Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia M. Franklin et al. 10.3390/rs10081317
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
- A decadal assessment of the climatology of aerosol and cloud properties over South Africa A. Yakubu & N. Chetty 10.5194/acp-22-11065-2022
- Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. 10.1029/2021JD035483
- Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. 10.1029/2019JD032097
- Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters R. Nelson et al. 10.5194/amt-16-4947-2023
- Estimates of African Dust Deposition Along the Trans‐Atlantic Transit Using the Decadelong Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI H. Yu et al. 10.1029/2019JD030574
- Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau Z. Hu et al. 10.5194/acp-20-1507-2020
- Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products J. Wei et al. 10.5194/acp-19-7183-2019
- The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission A. Sayer et al. 10.5194/amt-16-969-2023
- Identification and Characterization of Dust Source Regions Across North Africa and the Middle East Using MISR Satellite Observations Y. Yu et al. 10.1029/2018GL078324
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. 10.5194/amt-13-373-2020
- Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
- Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest Y. Yu et al. 10.1029/2020GL088020
- Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
- Introducing the MISR level 2 near real-time aerosol product M. Witek et al. 10.5194/amt-14-5577-2021
Latest update: 14 Dec 2024
Short summary
This study outlines a new methodology for assessing air pollution from space using observations from Multi-angle Imaging SpectroRadiometer (MISR). Both air pollution amounts – as well as the uncertainties associated with space observations – are simultaneously and consistently obtained from MISR measurements over oceans. The new products have superior quality to the previous versions and will benefit the air pollution community.
This study outlines a new methodology for assessing air pollution from space using observations...
