Impacts of Synoptic Weather Patterns and their Persistency on Free Tropospheric Carbon Monoxide Concentrations and Outflow in Eastern China

Han, Han; Liu, Jane; Yuan, Huiling; Jiang, Fei; Zhu, Ye; Wu, Yulie; Wang, Tijian; Zhuang, Bingliang

doi:10.1029/2017jd028172

Cited by 28 publications

(27 citation statements)

References 88 publications

(155 reference statements)

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“…In this section, we compare the trend in CO total column over Asia and the trend in biomass burning, to explore a linkage between the two. Since CO emitted from biomass burning can be transported across continents [56][57][58], the trends in biomass burning both inside and outside Asia are examined.…”

Section: Comparison Of the Trend In Atmospheric Carbon Monoxide With mentioning

confidence: 99%

“…Zheng et al [24] stated that CO from chemical production, as well as from oceanic and biogenic sources changes a little on a global scale. In contrast, atmospheric transport play a confounding role in modulating the CO trends in a receptor region [5,34,56]. Zheng et al [24] identified a declining trend in the global CO budget in 2000-2017, driven by reduced anthropogenic emissions in the US, Europe, and China, as well as by reduced biomass burning emissions globally.…”

Section: Impacts Of Biomass Burning On the Interannual Variation And mentioning

confidence: 99%

“…There are multiple factors affecting the spatial variations and trends in CO total column among different subregions in Asia. For example, in China, these factors include uneven distributions of economic development, population, meteorology [56], farming techniques (i.e., the control of chemical fertilizers, the strict straw open burning ban policy) [67,68], and the region-specific forest management strategies (i.e., forest fire prevention) [69], which would result in a CO trend downward or upward. In South Asia and Indonesia, land cover use change (i.e., urbanization), and farming techniques (i.e., the expansion of crop and pasture lands) [66] likely lead to strong CO emissions.…”

Section: Impacts Of Biomass Burning On the Interannual Variation And mentioning

confidence: 99%

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Satellite-Observed Variations and Trends in Carbon Monoxide over Asia and Their Sensitivities to Biomass Burning

et al. 2020

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As the carbon monoxide (CO) total column over Asia is among the highest in the world, it is important to characterize its variations in space and time. Using Measurements of Pollution in the Troposphere (MOPITT) and Atmospheric InfraRed Sounder (AIRS) satellite data, the variations and trends in CO total column over Asia and its seven subregions during 2003–2017 are investigated in this study. The CO total column in Asia is higher in spring and winter than in summer and autumn. The seasonal maximum and minimum are in spring and summer respectively in the regional mean over Asia, varying between land and oceans, as well as among the subregions. The CO total column in Asia shows strong interannual variation, with a regional mean coefficient of variation of 5.8% in MOPITT data. From 2003 to 2017, the annual mean of CO total column over Asia decreased significantly at a rate of (0.58 ± 0.15)% per year (or −(0.11 ± 0.03) × 1017 molecules cm−2 per year) in MOPITT data, resulting from significant CO decreases in winter, summer, and spring. In most of the subregions, significant decreasing trends in CO total column are also observed, more obviously over areas with high CO total column, including eastern regions of China and the Sichuan Basin. The regional decreasing trends in these areas are over 1% per year. Over the entire Asia, and in fire-prone subregions including South Siberia, Indo-China Peninsula, and Indonesia, we found significant correlations between the MOPITT CO total column and the fire counts from the Moderate Resolution Imaging Spectroradiometer (MODIS). The variations in MODIS fire counts may explain 58%, 60%, 36%, and 71% of the interannual variation in CO total column in Asia and these three subregions, respectively. Over different land cover types, the variations in biomass burning may explain 62%, 52%, and 31% of the interannual variation in CO total column, respectively, over the forest, grassland, and shrubland in Asia. Extremes in CO total column in Asia can be largely explained by the extreme fire events, such as the fires over Siberia in 2003 and 2012 and over Indonesia in 2006 and 2015. The significant decreasing trends in MODIS fire counts inside and outside Asia suggest that global biomass burning may be a driver for the decreasing trend in CO total column in Asia, especially in spring. In general, the variations and trends in CO total column over Asia detected by AIRS are similar to but smaller than those by MOPITT. The two datasets show similar spatial and temporal variations in CO total column over Asia, with correlation coefficients of 0.86–0.98 in the annual means. This study shows that the interannual variation in atmospheric CO in Asia is sensitive to biomass burning, while the decreasing trend in atmospheric CO over Asia coincides with the decreasing trend in MODIS fire counts from 2003 to 2017.

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Section: Comparison Of the Trend In Atmospheric Carbon Monoxide With mentioning

confidence: 99%

Section: Impacts Of Biomass Burning On the Interannual Variation And mentioning

confidence: 99%

Section: Impacts Of Biomass Burning On the Interannual Variation And mentioning

confidence: 99%

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Satellite-Observed Variations and Trends in Carbon Monoxide over Asia and Their Sensitivities to Biomass Burning

et al. 2020

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“…Weather classification is a well-established tool to characterize atmospheric processes at multiple scales and further to study air pollution-weather relationship (Han et al, 2018b). The methods for weather classification can be generally categorized into three groups: subjective, mixed, and objective, depending on the automatic degree during the classification process (Huth et al, 2008 can also be categorized in more detail according to the basic features of each classification algorithm (Philipp et al, 2014).…”

Section: Classification Of the Synoptic Weather Patternsmentioning

confidence: 99%

“…Third, we examine the sensitivity of daily surface ozone to the variation in synoptic weather systems. Considering the complexity of the synoptic meteorology in eastern China (Ding et al, 2017;Han et al, 2018b), we employ an objective clustering technique, the self-organizing map (SOM), to identify the predominant synoptic weather patterns (SWPs). In the following sections, we introduce the data and methods in section 2.…”

Section: Introductionmentioning

confidence: 99%

Local and synoptic meteorological influences on daily variability of summertime surface ozone in eastern China

Han¹,

Liu²,

Shu³

et al. 2019

Preprint

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Abstract. Ozone pollution in China is influenced by meteorological processes on multiple scales. Using multiple linear regression and weather classification, we statistically assess the impacts of local and synoptic meteorology on daily variability of surface ozone in eastern China in summer during 2013–2018. In this period, summertime surface ozone in eastern China (110–130° E, 20–42° N) is among the highest in the world with regional means of 73.1 and 114.7 µg m−3, respectively, in daily mean and daily maximum 8-hour average. By developing a multiple linear regression (MLR) model driven by local and synoptic weather factors, we establish a quantitative linkage between the daily ozone concentrations and meteorology in the study region. The meteorology described by the MLR model can explain ~ 46 % of the daily variability in summertime surface ozone across eastern China. The model shows that synoptic factors contribute to ~ 37 % of the overall meteorological effects on daily variability of surface ozone in eastern China. Among local meteorological factors, relative humidity is the most influential variable in the center and south of eastern China including the Yangtze River Delta and the Pearl River Delta regions, while temperature is the most influential variable in the north covering the Beijing-Tianjin-Hebei region. To further examine the synoptic influence of weather conditions explicitly, six predominant synoptic weather patterns (SWPs) over eastern China in summer are objectively identified using the self-organizing map clustering technique. The six SWPs are formed under the integral influence of the East Asian summer monsoon, the western Pacific subtropical high, the Meiyu front, and the typhoon activities. The results show that the impacts of each of the SWPs on the daily variability of surface ozone vary largely inside the study area. The maximum impact can reach &pm;8 µg m−3 or &pm;16 % of the daily mean over some subregions in eastern China. A combination of the regression and the clustering approaches suggests a strong performance of the MLR model in predicting the sensitivity of surface ozone in eastern China to the variation of synoptic weather. Our assessment highlights the important role of meteorology in modulating ozone pollution over China.

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Modelling the Global Air Quality Conditions in Perspective of COVID-19 Stimulated Lockdown Periods Using Remote Sensing Data

Talukdar,

Mahato,

Pal

et al. 2024

Geo-Information for Disaster Monitoring and Management

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COVID-19 outbreak across the world has invited forced lockdown conditions, which causes a huge economic landslide. But it has brought an opportunity for restoring the environment of its own which may cause ecosystem well-being. Focusing on the second issue, the present work has intended to explore the streams of air quality change based on some quality components and develop a multi-date air quality state (AQS) model for the world in consequence of emergency lockdown. It is very clear from the result that amid lockdown aerosol optical depth (AOD), sulfur dioxide (SO 2 ), ozone, carbon monoxide (CO), particulate matter (PM 2.5 ), and black carbon (BC) concentration level have been signi cantly reduced in fully lockdown countries. AQS is considerably improved amid lockdown. Hotspots of COVID-19 were under unhealthy, very unhealthy air quality class in pre lockdown condition, but amid lockdown, these countries have been shifted to good and moderate healthy air quality classes Summary COVID-19 stimulated lockdown improves the air quality index signi cantly. Several air quality components concentration levels have been signi cantly reduced in fully lockdown countries.

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Impacts of Synoptic Weather Patterns and their Persistency on Free Tropospheric Carbon Monoxide Concentrations and Outflow in Eastern China

Cited by 28 publications

References 88 publications

Satellite-Observed Variations and Trends in Carbon Monoxide over Asia and Their Sensitivities to Biomass Burning

Satellite-Observed Variations and Trends in Carbon Monoxide over Asia and Their Sensitivities to Biomass Burning

Local and synoptic meteorological influences on daily variability of summertime surface ozone in eastern China

Modelling the Global Air Quality Conditions in Perspective of COVID-19 Stimulated Lockdown Periods Using Remote Sensing Data

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