Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia

IF 5.2 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Laura Hyesung Yang, Daniel J. Jacob, Ruijun Dang, Yujin J. Oak, Haipeng Lin, Jhoon Kim, Shixian Zhai, Nadia K. Colombi, Drew C. Pendergrass, Ellie Beaudry, Viral Shah, Xu Feng, Robert M. Yantosca, Heesung Chong, Junsung Park, Hanlim Lee, Won-Jin Lee, Soontae Kim, Eunhye Kim, Katherine R. Travis, James H. Crawford, Hong Liao
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Abstract

Abstract. Nitrogen oxide radicals (NOx≡NO+NO2) emitted by fuel combustion are important precursors of ozone and particulate matter pollution, and NO2 itself is harmful to public health. The Geostationary Environment Monitoring Spectrometer (GEMS), launched in space in 2020, now provides hourly daytime observations of NO2 columns over East Asia. This diurnal variation offers unique information on the emission and chemistry of NOx, but it needs to be carefully interpreted. Here we investigate the drivers of the diurnal variation in NO2 observed by GEMS during winter and summer over Beijing and Seoul. We place the GEMS observations in the context of ground-based column observations (Pandora instruments) and GEOS-Chem chemical transport model simulations. We find good agreement between the diurnal variations in NO2 columns in GEMS, Pandora, and GEOS-Chem, and we use GEOS-Chem to interpret these variations. NOx emissions are 4 times higher in the daytime than at night, driving an accumulation of NO2 over the course of the day, offset by losses from chemistry and transport (horizontal flux divergence). For the urban core, where the Pandora instruments are located, we find that NO2 in winter increases throughout the day due to high daytime emissions and increasing NO2/NOx ratio from entrainment of ozone, partly balanced by loss from transport and with a negligible role of chemistry. In summer, by contrast, chemical loss combined with transport drives a minimum in the NO2 column at 13:00–14:00 local time (LT). Segregation of the GEMS data by wind speed further demonstrates the effect of transport, with NO2 in winter accumulating throughout the day at low winds but flat at high winds. The effect of transport can be minimized in summer by spatially averaging observations over the broader metropolitan scale, under which conditions the diurnal variation in NO2 reflects a dynamic balance between emission and chemical loss.
解读地球静止环境监测分光计(GEMS)地球静止卫星对东亚上空二氧化氮(NO2)日变化的观测结果
摘要燃料燃烧排放的氮氧化物自由基(NOx≡NO+NO2)是臭氧和颗粒物污染的重要前体物,而二氧化氮本身也对公众健康有害。2020 年发射升空的地球静止环境监测分光仪(GEMS)现在可以提供东亚上空二氧化氮柱的日间小时观测数据。这种昼夜变化为氮氧化物的排放和化学性质提供了独特的信息,但需要仔细解读。在此,我们研究了 GEMS 在北京和首尔上空观测到的冬季和夏季二氧化氮昼夜变化的驱动因素。我们将 GEMS 的观测结果与地面气柱观测(Pandora 仪器)和 GEOS-Chem 化学传输模式模拟相结合。我们发现,GEMS、Pandora 和 GEOS-Chem 中的二氧化氮柱昼夜变化非常一致,我们使用 GEOS-Chem 来解释这些变化。白天的氮氧化物排放量是夜间的 4 倍,从而导致二氧化氮在一天中不断积累,并被化学和传输损失(水平通量发散)所抵消。对于潘多拉仪器所在的城市核心地区,我们发现冬季的二氧化氮全天都在增加,原因是白天的排放量高,以及臭氧夹带导致二氧化氮/氮氧化物比值增加,这部分被迁移损失所抵消,化学损失可以忽略不计。相比之下,在夏季,化学损失加上迁移导致当地时间(LT)13:00-14:00 的二氧化氮柱达到最小值。根据风速对全球环境监测系统的数据进行分类,进一步证明了迁移的影响,冬季低风速时二氧化氮全天累积,而大风时则持平。在夏季,通过对更大范围内的观测数据进行空间平均,可以将迁移的影响降至最低。
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来源期刊
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics 地学-气象与大气科学
CiteScore
10.70
自引率
20.60%
发文量
702
审稿时长
6 months
期刊介绍: Atmospheric Chemistry and Physics (ACP) is a not-for-profit international scientific journal dedicated to the publication and public discussion of high-quality studies investigating the Earth''s atmosphere and the underlying chemical and physical processes. It covers the altitude range from the land and ocean surface up to the turbopause, including the troposphere, stratosphere, and mesosphere. The main subject areas comprise atmospheric modelling, field measurements, remote sensing, and laboratory studies of gases, aerosols, clouds and precipitation, isotopes, radiation, dynamics, biosphere interactions, and hydrosphere interactions. The journal scope is focused on studies with general implications for atmospheric science rather than investigations that are primarily of local or technical interest.
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