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Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean
| Content Provider | Semantic Scholar |
|---|---|
| Author | Shi, Chong Hashimoto, Makiko Nakajima, Tatsuhito |
| Copyright Year | 2018 |
| Abstract | In this study, we investigate the feasibility of multi-pixel scheme in the inversion of aerosol optical thickness (AOT) for multi-spectral satellite instruments over the ocean. Different from the traditional satellite aerosol retrievals 10 conducted pixel by pixel independently, we derive the aerosol optical thickness of multiple pixels simultaneously by adding smoothness constraint on the spatial variation of aerosols and oceanic substances, which helps the satellite retrieval with higher consistency from pixel to pixel. Simulations are performed for two representative oceanic circumstances—open and coastal waters, as well as the land-ocean interface region. We retrieve the AOT for fine, sea spray, and dust particles simultaneously using synthetic spectral measurements from the Greenhouse Gases Observing Satellite/Thermal and Near 15 Infrared Sensor for Carbon Observations-Cloud and Aerosol Imager (GOSAT/TANSO-CAI) with four wavelengths coving from the ultraviolet to shortwave infrared bands. The forward radiation calculation is performed by a coupled atmosphere-ocean radiative transfer model combined with a three-component bio-optical oceanic module, where the chlorophyll a concentration, sediment and colored dissolved organic matter are considered. Results show that accuracies of the derived AOT and spectral remote-sensing reflectance are both improved by applying smoothness constraints on the 20 spatial variation of aerosol and oceanic substances in homogeneous or inhomogeneous surface conditions. The multi-pixel scheme can be effective to compensate the retrieval biases induced by measurement errors and improve the retrieval sensitivity, particularly for the fine aerosol over the coastal water. We then apply the algorithm to derive AOTs using real satellite measurements. Results indicate that the multi-pixel method helps to polish the irregular retrieved results of the satellite imagery and shows promising potentiality to correct the overestimation of aerosols over high turbid waters, by 25 benefiting from the coincident retrieval of neighboring pixels. A comparison of retrieved AOTs from satellite measurements with those from the Aerosol Robotic Network (AERONET) also indicates that retrievals conducted by the multi-pixel scheme are more consistent with the AERONET observations. Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-999 Manuscript under review for journal Atmos. Chem. Phys. Discussion started: 1 October 2018 c © Author(s) 2018. CC BY 4.0 License. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.atmos-chem-phys-discuss.net/acp-2018-999/acp-2018-999.pdf |
| Alternate Webpage(s) | https://www.atmos-chem-phys-discuss.net/acp-2018-999/acp-2018-999-RC1-print.pdf |
| Alternate Webpage(s) | https://www.atmos-chem-phys-discuss.net/acp-2018-999/acp-2018-999-RC1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
