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Discussion papers
https://doi.org/10.5194/acp-2018-564
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2018-564
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 16 Jul 2018

Research article | 16 Jul 2018

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Chemistry and Physics (ACP).

Multi-Satellite Retrieval of SSA using OMI-MODIS algorithm

Kruthika Eswaran1,2, Sreedharan Krishnakumari Satheesh1,2, and Jayaraman Srinivasan1,2 Kruthika Eswaran et al.
  • 1Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, India
  • 2Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, India

Abstract. Single scattering albedo (SSA) represents a unique identification of aerosol type and aerosol radiative forcing. However, SSA retrievals are highly uncertain due cloud contamination and aerosol composition. Recent improvement in the SSA retrieval algorithm has combined the superior cloud masking technique of Moderate Resolution Imaging Spectroradiometer (MODIS) and the better sensitivity of Ozone Monitoring Instrument (OMI) to aerosol absorption. The combined OMI-MODIS algorithm has been validated over a small spatial and temporal scale only. The present study validates the algorithm over global oceans for the period 2008–2012. The geographical heterogeneity in the aerosol type and concentration over the Atlantic Ocean, the Arabian Sea and the Bay of Bengal was useful to delineate the effect of aerosol type on the retrieval algorithm. We also noted that OMI overestimates SSA when absorbing aerosols were present closer to the surface. We attribute this overestimation to data discontinuity in the aerosol height climatology derived from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite. OMI uses pre-defined aerosol heights over regions where CALIPSO climatology is not present leading to overestimation of SSA. The importance of aerosol height was also studied using the Santa Barbara DISORT radiative transfer (SBDART) model. The results from the joint retrieval were validated with ground-based measurements and it was seen that OMI-MODIS SSA retrievals were better constrained than OMI only retrieval.

Kruthika Eswaran et al.
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Kruthika Eswaran et al.
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Latest update: 18 Dec 2018
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Short summary
Multiple satellite retrieval algorithms are used to counter problems like cloud contamination faced by sensors with large pixel size. This work uses one such algorithm to retrieve a parameter (single scattering albedo) over the oceans. It was found that the original algorithm overestimated the values when aerosols were present near the surface. The joint algorithm detected absorbing aerosols better and values agreed with observations since there was no assumption on the aerosol type or height.
Multiple satellite retrieval algorithms are used to counter problems like cloud contamination...
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