气候变化领域集成服务门户(CCPortal): Satellite retrieval of aerosol combined with assimilated forecast

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DOI	10.5194/acp-21-1797-2021
	Satellite retrieval of aerosol combined with assimilated forecast
	Yoshida M.; Yumimoto K.; M. Nagao T.; Y. Tanaka T.; Kikuchi M.; Murakami H.
发表日期	2021
ISSN	1680-7316
起始页码	1797
结束页码	1813
卷号	21 期号:3
英文摘要	We developed a new aerosol satellite retrieval algorithm combining a numerical aerosol forecast. In the retrieval algorithm, the short-term forecast from an aerosol data assimilation system was used as an a priori estimate instead of spatially and temporally constant values. This method was demonstrated using observation of the Advanced Himawari Imager onboard the Japan Meteorological Agency's geostationary satellite Himawari-8. Overall, the retrieval results incorporated strengths of the observation and the model and complemented their respective weaknesses, showing spatially finer distributions than the model forecast and less noisy distributions than the original algorithm. We validated the new algorithm using ground observation data and found that the aerosol parameters detectable by satellite sensors were retrieved more accurately than an a priori model forecast by adding satellite information. Further, the satellite retrieval accuracy was improved by introducing the model forecast instead of the constant a priori estimates. By using the assimilated forecast for an a priori estimate, information from previous observations can be propagated to future retrievals, leading to better retrieval accuracy. Observational information from the satellite and aerosol transport by the model are incorporated cyclically to effectively estimate the optimum field of aerosol. © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	aerosol; algorithm; data assimilation; numerical model; satellite imagery; weather forecasting
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/247163
作者单位	Japan Aerospace Exploration Agency, Tsukuba, 305-8505, Japan; Research Institute for Applied Mechanics, Kyushu University, Fukuoka, 816-8580, Japan; Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, 277-8568, Japan; Meteorological Research Institute, Tsukuba, 305-0052, Japan; Remote Sensing Technology Center of Japan, Tsukuba, 305-8505, Japan
推荐引用方式 GB/T 7714	Yoshida M.,Yumimoto K.,M. Nagao T.,et al. Satellite retrieval of aerosol combined with assimilated forecast[J],2021,21(3).
APA	Yoshida M.,Yumimoto K.,M. Nagao T.,Y. Tanaka T.,Kikuchi M.,&Murakami H..(2021).Satellite retrieval of aerosol combined with assimilated forecast.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(3).
MLA	Yoshida M.,et al."Satellite retrieval of aerosol combined with assimilated forecast".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.3(2021).