气候变化领域集成服务门户(CCPortal): Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean

CCPortal

DOI	10.5194/acp-19-2461-2019
	Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean
	Shi C.; Hashimoto M.; Nakajima T.
发表日期	2019
ISSN	16807316
起始页码	2461
结束页码	2475
卷号	19 期号:4
英文摘要	In this study, we investigate the feasibility of a multi-pixel scheme in the inversion of aerosol optical properties for multispectral satellite instruments over the ocean. Different from the traditional satellite aerosol retrievals conducted pixel by pixel, we derive the aerosol optical thickness (AOT) of multiple pixels simultaneously by adding a 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 aerosols simultaneously using synthetic spectral measurements, which are from the Greenhouse Gases Observing Satellite and Thermal and Near Infrared Sensor for Carbon Observation - Cloud and Aerosol Imager (GOSATĝ•TANSO-CAI), with four wavelengths ranging 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 spatial variation of aerosol and oceanic substances in homogeneous or inhomogeneous surface conditions. The multi-pixel scheme can be effective in compensating for the retrieval biases induced by measurement errors and improving the retrieval sensitivity, particularly for the fine aerosols 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 is potentially promising for the aerosol retrieval over highly turbid waters by 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. © 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	AERONET; aerosol property; image processing; ocean; pixel; remote sensing; satellite imagery; spectral reflectance; wavelength
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144618
作者单位	Collaborative Innovation, Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China; Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Ibaraki, 305-8505, Japan
推荐引用方式 GB/T 7714	Shi C.,Hashimoto M.,Nakajima T.. Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean[J],2019,19(4).
APA	Shi C.,Hashimoto M.,&Nakajima T..(2019).Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean.Atmospheric Chemistry and Physics,19(4).
MLA	Shi C.,et al."Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean".Atmospheric Chemistry and Physics 19.4(2019).