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DOI10.5194/acp-21-5269-2021
Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece
Skoulidou I.; Koukouli M.-E.; Manders A.; Segers A.; Karagkiozidis D.; Gratsea M.; Balis D.; Bais A.; Gerasopoulos E.; Stavrakou T.; Van Geffen J.; Eskes H.; Richter A.
发表日期2021
ISSN1680-7316
起始页码5269
结束页码5288
卷号21期号:7
英文摘要The evaluation of chemical transport models, CTMs, is essential for the assessment of their performance regarding the physical and chemical parameterizations used. While regional CTMs have been widely used and evaluated over Europe, their validation over Greece is limited. In this study, we investigate the performance of the Long Term Ozone Simulation European Operational Smog (LOTOSEUROS) v2.2.001 regional chemical transport model in simulating nitrogen dioxide, NO2, over Greece from June to December 2018. In situ NO2 measurements obtained from 14 stations of the National Air Pollution Monitoring Network are compared with surface simulations over the two major cities of Greece, Athens and Thessaloniki. Overall the LOTOS-EUROS NO2 surface simulations compare very well to the in situ measurements showing a mild underestimation of the measurements with a mean relative bias of-10 %, a high spatial correlation coefficient of 0.86 and an average temporal correlation of 0.52. The CTM underestimates the NO2 surface concentrations during daytime by-5015 %, while it slightly overestimates during night-Time 1035 %. Furthermore, the LOTOS-EUROS tropospheric NO2 columns are evaluated against groundbased multi-Axis differential optical absorption spectroscopy (MAX-DOAS) NO2 measurements in Athens and Thessaloniki. We report that the CTM tropospheric NO2 column simulations over both urban and rural locations represent the diurnal patterns and hourly levels for both summer and winter seasons satisfactorily. The relative biases range between-2% and-35 %, depending on season and relative NO2 load observed. Finally, the CTM was assessed also against space-borne Sentinel-5 Precursor (S5P) carrying the Tropospheric Monitoring Instrument (TROPOMI) tropospheric NO2 observations. We conclude that LOTOS-EUROS simulates extremely well the tropospheric NO2 patterns over the region with very high spatial correlation of 0.82 on average, ranging between 0.66 and 0.95, with negative biases in the summer and positive in the winter. Updated emissions for the simulations and model improvements when extreme values of boundary layer height are encountered are further suggested. © 2020 EDP Sciences. All rights reserved.
语种英语
scopus关键词atmospheric chemistry; atmospheric modeling; atmospheric transport; boundary layer; computer simulation; ground-based measurement; nitrogen dioxide; observational method; physicochemical property; troposphere; Athens [Attica]; Attica; Central Macedonia; Greece; Thessaloniki [Central Macedonia]
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/246996
作者单位Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece; Tno, Climate, Air and Sustainability, Utrecht, Netherlands; Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece; Royal Belgian Institute for Space Aeronomy, Brussels, Belgium; Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands; Institute of Environmental Physics and Remote Sensing, University of Bremen, Bremen, Germany
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Skoulidou I.,Koukouli M.-E.,Manders A.,et al. Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece[J],2021,21(7).
APA Skoulidou I..,Koukouli M.-E..,Manders A..,Segers A..,Karagkiozidis D..,...&Richter A..(2021).Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(7).
MLA Skoulidou I.,et al."Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.7(2021).
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