气候变化领域集成服务门户(CCPortal): Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations

CCPortal

DOI	10.1016/j.atmosenv.2020.118062
	Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations
	Ryu Y.-H.; Min S.-K.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	A 16-year (2003–2018) evaluation of CO, NO2, SO2, O3, and PM10 from three reanalysis products (CAMS, TCR-2, and MERRA-2) against independent observations and intercomparison among reanalyses are performed over South Korea. All three reanalyses show significant and persistent biases in the five pollutants, but the reanalyses partly capture decreasing trends in CO, NO2, SO2, and PM10 and increasing trends in O3 over the 16-year period. CAMS outperforms TCR-2 and MERRA-2 in terms of area-averaged climatology and trends of all species except for SO2. SO2 is best reproduced in TCR-2. The long-term averaged spatial distributions of the pollutants in CAMS reveal that their spatial distributions are largely influenced by a priori emissions. All reanalysis products show larger biases in CO, NO2, and SO2 in cold months than in warm months. The average daily correlations between bias-corrected reanalysis data and observations are found to be reasonably high for some species: 0.74–0.82 for CO, NO2, and PM10 in CAMS, 0.66 for SO2 in TCR-2, and 0.7 for PM10 in MERRA-2. Although TCR-2 generally shows lower daily correlations than CAMS, it shows the potential that correction of emissions through data assimilation can improve its performance at seasonal and interannual time scales. It is recommended that a bias correction be applied to the reanalysis products for use in regional air quality modeling as initial/boundary conditions or in other relevant studies because each reanalysis product has persistent biases throughout season/year. The evaluation of vertical profiles during KORUS-AQ campaign indicates that CAMS reasonably captures CO, SO2, O3, and aerosols but underestimates NO2. © 2020
关键词	Atmospheric composition CAMS MERRA-2 Reanalysis TCR-2
语种	英语
scopus关键词	Air quality; Atmospheric composition; Nitrogen oxides; Spatial distribution; Bias correction; Data assimilation; Interannual time scale; Intercomparisons; Long-term evaluation; Regional air quality modeling; South Korea; Vertical profile; Sulfur dioxide; carbon monoxide; nitrogen dioxide; ozone; sulfur dioxide; aerosol; aerosol composition; air quality; atmospheric chemistry; atmospheric pollution; climatology; comparative study; data assimilation; pollutant transport; satellite altimetry; satellite data; air monitoring; air pollution; air quality; atmosphere; cold; data analysis; evaluation study; particulate matter 10; priority journal; seasonal variation; secondary organic aerosol; South Korea; spatial analysis; statistical bias; South Korea
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248730
作者单位	Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea
推荐引用方式 GB/T 7714	Ryu Y.-H.,Min S.-K.. Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations[J],2021,246.
APA	Ryu Y.-H.,&Min S.-K..(2021).Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations.ATMOSPHERIC ENVIRONMENT,246.
MLA	Ryu Y.-H.,et al."Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations".ATMOSPHERIC ENVIRONMENT 246(2021).