干旱区生态环境知识资源中心(Arid): An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data

Arid

DOI	10.3390/rs14020389
	An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data
	Kim, Hyeon-Kook; Lee, Seunghee; Bae, Kang-Ho; Jeon, Kwonho; Lee, Myong-In; Song, Chang-Keun
通讯作者	Song, CK (corresponding author)，Ulsan Natl Inst Sci & Technol, Dept Urban & Environm Engn, Ulsan 44919, South Korea.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:2
英文摘要	Prior knowledge of the effectiveness of new observation instruments or new data streams for air quality can contribute significantly to shaping the policy and budget planning related to those instruments and data. In view of this, one of the main purposes of the development and application of the Observing System Simulation Experiments (OSSE) is to assess the potential impact of new observations on the quality of the current monitoring or forecasting systems, thereby making this framework valuable. This study introduces the overall OSSE framework established to support air quality forecasting and the details of its individual components. Furthermore, it shows case study results from Northeast Asia and the potential benefits of the new observation data scenarios on the PM2.5 forecasting skills, including the PM data from 200 virtual monitoring sites in the Gobi Desert and North Korean non-forest areas (NEWPM) and the aerosol optical depths (AOD) data from South Korea's Geostationary Environment Monitoring Spectrometer (GEMS AOD). Performance statistics suggest that the concurrent assimilation of the NEWPM and the PM data from current monitoring sites in China and South Korea can improve the PM2.5 concentration forecasts in South Korea by 66.4% on average for October 2017 and 95.1% on average for February 2018. Assimilating the GEMS AOD improved the performance of the PM2.5 forecasts in South Korea for October 2017 by approximately 68.4% (~78.9% for February 2018). This OSSE framework is expected to be continuously implemented to verify its utilization potential for various air quality observation systems and data scenarios. Hopefully, this kind of application result will aid environmental researchers and decision-makers in performing additional in-depth studies for the improvement of PM air quality forecasts.
英文关键词	Observing System Simulation Experiments satellite observation surface observation data assimilation air quality forecasting
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000747020100001
WOS关键词	VARIATIONAL STATISTICAL-ANALYSIS ; RECURSIVE FILTERS ; NUMERICAL ASPECTS ; MODEL ; EMISSIONS ; ASSIMILATION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376797
作者单位	[Kim, Hyeon-Kook; Lee, Seunghee; Bae, Kang-Ho; Lee, Myong-In; Song, Chang-Keun] Ulsan Natl Inst Sci & Technol, Dept Urban & Environm Engn, Ulsan 44919, South Korea; [Jeon, Kwonho] Natl Inst Environm Res, Global Environm Res Div, Incheon 22689, South Korea
推荐引用方式 GB/T 7714	Kim, Hyeon-Kook,Lee, Seunghee,Bae, Kang-Ho,et al. An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data[J],2022,14(2).
APA	Kim, Hyeon-Kook,Lee, Seunghee,Bae, Kang-Ho,Jeon, Kwonho,Lee, Myong-In,&Song, Chang-Keun.(2022).An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data.REMOTE SENSING,14(2).
MLA	Kim, Hyeon-Kook,et al."An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data".REMOTE SENSING 14.2(2022).