Articles | Volume 9, issue 10
https://doi.org/10.5194/amt-9-5053-2016
© 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/amt-9-5053-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Oct 2016
Research article |
| 14 Oct 2016
Validating MODIS above-cloud aerosol optical depth retrieved from “color ratio” algorithm using direct measurements made by NASA's airborne AATS and 4STAR sensors
Universities Space Research Association, Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD 21044, USA
Earth Science Division, Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Omar Torres
Earth Science Division, Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Lorraine Remer
Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Jens Redemann
Earth Science Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
John Livingston
SRI International, Menlo Park, CA 94025, USA
Stephen Dunagan
Earth Science Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
Yohei Shinozuka
Bay Area Environmental Research Institute, NASA Ames Research Center, Moffett Field, CA 94035, USA
Meloe Kacenelenbogen
Bay Area Environmental Research Institute, NASA Ames Research Center, Moffett Field, CA 94035, USA
Michal Segal Rosenheimer
Bay Area Environmental Research Institute, NASA Ames Research Center, Moffett Field, CA 94035, USA
Rob Spurr
RT Solutions, Cambridge, MA 02138, USA
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Cited
15 citations as recorded by crossref.
- A 12-year long global record of optical depth of absorbing aerosols above the clouds derived from the OMI/OMACA algorithm H. Jethva et al. 10.5194/amt-11-5837-2018
- A new measurement approach for validating satellite-based above-cloud aerosol optical depth C. Gatebe et al. 10.5194/amt-14-1405-2021
- Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm J. Huang et al. 10.5194/amt-11-5813-2018
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry L. Remer et al. 10.3389/fenvs.2019.00094
- Swelling of transported smoke from savanna fires over the Southeast Atlantic Ocean J. Kar et al. 10.1016/j.rse.2018.03.043
- Retrieving UV–Vis spectral single-scattering albedo of absorbing aerosols above clouds from synergy of ORACLES airborne and A-train sensors H. Jethva et al. 10.5194/amt-17-2335-2024
- Spatiotemporal Heterogeneity of Aerosol and Cloud Properties Over the Southeast Atlantic: An Observational Analysis I. Chang et al. 10.1029/2020GL091469
- An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin J. Redemann et al. 10.5194/acp-21-1507-2021
- Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. 10.1109/TGRS.2019.2919910
- The impact of seasonalities on direct radiative effects and radiative heating rates of absorbing aerosols above clouds I. Chang & S. Christopher 10.1002/qj.3012
- A pilot study of shortwave spectral fingerprints of smoke aerosols above liquid clouds X. Xu et al. 10.1016/j.jqsrt.2018.09.024
- Observation of absorbing aerosols above clouds over the south-east Atlantic Ocean from the geostationary satellite SEVIRI – Part 2: Comparison with MODIS and aircraft measurements from the CLARIFY-2017 field campaign F. Peers et al. 10.5194/acp-21-3235-2021
- Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument L. Remer et al. 10.3389/feart.2019.00152
- Algorithms for the classification and characterization of aerosols: utility verification of near-UV satellite observations S. Mukai et al. 10.1117/1.JRS.13.014527
15 citations as recorded by crossref.
- A 12-year long global record of optical depth of absorbing aerosols above the clouds derived from the OMI/OMACA algorithm H. Jethva et al. 10.5194/amt-11-5837-2018
- A new measurement approach for validating satellite-based above-cloud aerosol optical depth C. Gatebe et al. 10.5194/amt-14-1405-2021
- Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm J. Huang et al. 10.5194/amt-11-5813-2018
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry L. Remer et al. 10.3389/fenvs.2019.00094
- Swelling of transported smoke from savanna fires over the Southeast Atlantic Ocean J. Kar et al. 10.1016/j.rse.2018.03.043
- Retrieving UV–Vis spectral single-scattering albedo of absorbing aerosols above clouds from synergy of ORACLES airborne and A-train sensors H. Jethva et al. 10.5194/amt-17-2335-2024
- Spatiotemporal Heterogeneity of Aerosol and Cloud Properties Over the Southeast Atlantic: An Observational Analysis I. Chang et al. 10.1029/2020GL091469
- An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin J. Redemann et al. 10.5194/acp-21-1507-2021
- Extending XBAER Algorithm to Aerosol and Cloud Condition L. Mei et al. 10.1109/TGRS.2019.2919910
- The impact of seasonalities on direct radiative effects and radiative heating rates of absorbing aerosols above clouds I. Chang & S. Christopher 10.1002/qj.3012
- A pilot study of shortwave spectral fingerprints of smoke aerosols above liquid clouds X. Xu et al. 10.1016/j.jqsrt.2018.09.024
- Observation of absorbing aerosols above clouds over the south-east Atlantic Ocean from the geostationary satellite SEVIRI – Part 2: Comparison with MODIS and aircraft measurements from the CLARIFY-2017 field campaign F. Peers et al. 10.5194/acp-21-3235-2021
- Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument L. Remer et al. 10.3389/feart.2019.00152
- Algorithms for the classification and characterization of aerosols: utility verification of near-UV satellite observations S. Mukai et al. 10.1117/1.JRS.13.014527
Latest update: 23 Nov 2024
Short summary
Validation of the above-cloud aerosol optical depth retrieved using the "color ratio" method applied to MODIS cloudy-sky
measurements against airborne direct measurements made by NASA’s AATS and 4STAR sun photometers during SAFARI-2000,
ACE-ASIA 2001, and SEAC4RS 2013 reveals a good level of agreement (difference < 0.1), in which most matchups are found
be constrained within the estimated uncertainties associated with the MODIS retrievals (-10 % to +50 %).
Validation of the above-cloud aerosol optical depth retrieved using the "color ratio" method...
