气候变化领域集成服务门户(CCPortal): A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM

CCPortal

DOI	10.1016/j.atmosenv.2020.117946
	A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM
	Thürkow M.; Kirchner I.; Kranenburg R.; Timmermans R.M.A.; Schaap M.
发表日期	2021
ISSN	13522310
卷号	244
英文摘要	Particulate matter (PM) remains as one of the most relevant air-quality concerns in urban environments. The Berlin agglomeration area is still affected by exceedances of the daily limit value of the PM concentration, especially during wintertime PM episodes. In this study, we present test-case studies with the LOTOS-EUROS CTM to improve the representation of PM episodes in the Berlin agglomeration area. A variety of simulations were compared for two winter episodes characterized by cold stagnant conditions, using different meteorological input data (from the European Centre for Medium Weather Forecast (ECMWF) and the Consortium for Small-Scale Modelling-Climate Limited-area Modelling (COSMO-CLM)) and horizontal and vertical resolutions of the LOTOS-EUROS CTM. The LOTOS-EUROS CTM indicates too high mixing from the planetary boundary layer (PBL) to higher layers, leading to an underestimation of the PM mass concentration in the Berlin agglomeration. As major impact factor the mixing layer height (MLH) can be identified. Through applying the COSMO-CLM model the meteorological representation of the PBL and MLH can significantly be improved, whereas sensitivity studies only exhibit a small variation of the PBL meteorology and did not further improve the MLH. As the MLHs of both models are underestimated compared to observations and their derivation is questionable, we advise not to use this quantity any longer in CTMs. By contrast, applying a multi-level approach excluding the MLH, provides a considerable increase in the total PM mass concentration amount. The redistribution and increased nitrate and ammonium concentration can be mentioned as the main culprit. However, the best-fit simulations were obtained for the multi-level configuration fed by COSMO-CLM input data, additionally representing a more realistic urban increment. © 2020 Elsevier Ltd
英文关键词	Composition of PM; COSMO-CLM; LOTOS-EUROS; Particulate matter; Planetary boundary layer
语种	英语
scopus关键词	Agglomeration; Air quality; Boundary layers; Input output programs; Mixing; Sensitivity analysis; Ammonium concentrations; Horizontal and vertical resolutions; Mass concentration; Meteorological input; Mixing layer height; Planetary boundary layers; Sensitivity studies; Urban environments; Weather forecasting; ammonia; nitrate; organic matter; sulfate; ammonium; boundary layer; concentration (composition); nitrate; numerical model; particulate matter; advection; air pollution; ambient air; Article; boundary layer; circadian rhythm; cold; diffusion coefficient; Germany; meteorology; mineral dust; particulate matter 10; priority journal; rural area; sea surface temperature; simulation; temperature; troposphere; vegetation; wind; wind speed; winter; Berlin; Germany
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/144829
作者单位	Institute of Meteorology, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6-10, Berlin, 12165, Germany; TNO, Department Climate Air and Sustainability, Princetonlaan 6, Utrecht, 3584 CB, Netherlands
推荐引用方式 GB/T 7714	Thürkow M.,Kirchner I.,Kranenburg R.,et al. A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM[J],2021,244.
APA	Thürkow M.,Kirchner I.,Kranenburg R.,Timmermans R.M.A.,&Schaap M..(2021).A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM.Atmospheric Environment,244.
MLA	Thürkow M.,et al."A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM".Atmospheric Environment 244(2021).