NOx emissions in India derived from OMI satellite observations

Ding, Jieying; A, Ronald van der; Mijling, Bas; Laat, A. T. J. de; Eskes, Henk; Boersma, K. F.

doi:10.1016/j.aeaoa.2022.100174

Cited by 13 publications

(11 citation statements)

References 38 publications

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“…Note that Ireland is only partly in our geographical domain and has therefore lower emissions according to DECSO. Besides the comparison on a naBonal level also on a provincial scale good agreement is found, as has been shown for Catalonia byMijling et al (2023).https://doi.org/10.5194/egusphere-2023-3099 Preprint. Discussion started: 16 January 2024 c Author(s) 2024.…”

supporting

confidence: 74%

“…CC BY 4.0 License. by, for example, lightning or long-range transport, which is known to be a significant source of error (Douros et al, 2023).…”

Section: Decso: Inversion Of Tropomi Observa0onsmentioning

confidence: 99%

“…This is based on the assumpBon that biogenic emissions show a strong seasonal cycle with low emissions in winter, while the anthropogenic emissions are more constant over the year. This splieng method is detailed described in detail in Lin et al (2023).…”

Section: Decso: Inversion Of Tropomi Observa0onsmentioning

confidence: 99%

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Monitoring European anthropogenic NOx emissions from space

van der A,

Ding,

Eskes

2024

Preprint

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Abstract. Since the launch of TROPOMI on the S5p satellite, NO2 observations have become available with a resolution of 3.5x5 km, which makes monitoring NOx emissions possible at the scale of city districts and industrial facilities. For Europe, emissions are reported on an annual basis for country totals and large industrial facilities and made publicly available via the European Environmental Agency (EEA). Satellite observations can provide independent and more timely information on NOx emissions. A new version of the inversion algorithm DECSO (Daily Emissions Constraint by Satellite Observations) has been developed for deriving NOx emissions for Europe on a daily basis, averaged to monthly mean maps. The estimated precision of these monthly emissions is about 25 % for individual grid cells. These satellite-derived emissions from DECSO have been compared to the officially reported European emissions and spatial-temporal disaggregated emission inventories. The country total DECSO NOx emissions are close to the reported emissions and the emissions compiled by the Copernicus Atmospheric Monitoring Service (CAMS). The comparison of the spatial distributed NOx emissions of DECSO and CAMS showed that the satellite-derived emissions are often higher in cities, while similar for large power plants and slightly lower in rural areas.

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supporting

confidence: 74%

“…CC BY 4.0 License. by, for example, lightning or long-range transport, which is known to be a significant source of error (Douros et al, 2023).…”

Section: Decso: Inversion Of Tropomi Observa0onsmentioning

confidence: 99%

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Monitoring European anthropogenic NOx emissions from space

van der A,

Ding,

Eskes

2024

Preprint

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“…High free tropospheric ozone over East Asia in spring could reflect regional downwelling from the stratosphere associated with cyclogenesis (Hwang et al, 2007). It could also reflect the observed rise of free tropospheric ozone at northern mid-latitudes and particularly over East Asia in recent decades (Gaudel et al, 2018;Lee et al, 2021;Wang et al, 2022) which could possibly be due to increasing emissions in India and the Middle East (Anwar et al, 2021;Ding et al, 2022;Anenberg et al, 2022). We find from analysis of sonde 285 observations no significant trend in free tropospheric ozone over South Korea during 2015-2019, meaning that the background is not responsible for the observed increase in surface ozone over that period.…”

Section: Previously Found That Geos-chem Versionmentioning

confidence: 98%

Why is ozone in South Korea and the Seoul Metropolitan Area so high and increasing?

Colombi

Jacob²,

Yang³

et al. 2022

Preprint

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Abstract. Surface ozone pollution in South Korea has increased over the past two decades, despite efforts to decrease emissions, and is pervasively in exceedance of the maximum daily 8-hr average (MDA8) standard of 60 ppb. Here, we investigate the 2015–2019 trends in surface ozone and NO2 concentrations over South Korea and the Seoul Metropolitan Area (SMA), focusing on the 90th percentile MDA8 ozone as an air quality metric. We use a random forest algorithm to remove the effect of meteorological variability on the 2015–2019 trends and find an emission-driven ozone increase of up to 1.5 ppb a-1 in April–May while NO2 decreases by 22 %. GEOS-Chem model simulations including recent chemical updates can successfully simulate surface ozone over South Korea and China as well as the very high free tropospheric ozone observed above 2 km altitude (mean 75 ppb in May–June), and can reproduce the observed 2015–2019 emission-driven ozone trend over the SMA including its seasonality. Further investigation of the model trend for May, when meteorology-corrected ozone and its increase are the highest, reveals that a decrease in South Korea NOx emissions is the main driver for the SMA ozone increase. Although this result implies that decreasing volatile organic compound (VOC) emissions is necessary to decrease ozone, we find that SMA ozone would still remain above 80 ppb even if all anthropogenic emissions in South Korea were shut off. China contributes only 8 ppb to this elevated South Korea background and ship emissions contribute only a few ppb. Zeroing out all anthropogenic emissions in East Asia in the model indicates a remarkably high external background of 56 ppb, consistent with the high concentrations observed in the free troposphere, implying that the air quality standard in South Korea is not practically achievable unless this background external to East Asia can be decreased.

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“…In contrast, the OMI satellite meets the requirement for a long-term series of NO 2 concentration observations. Currently, these two satellite data sources dominate the studies on NO 2 concentrations (Van Geffen et al 2020, Ding et al 2022, Zhang et al 2023b. Various inversion methods such as plume and box models, mass balance, 4D-Var, and integrated Kalman filters employ satellite observations and atmospheric chemical transport models (CTM) to estimate atmospheric pollutant emissions (Martin et al 2003, Lamsal et al 2011, Duncan et al 2013, Ding et al 2015, Qu et al 2017, Gaubert et al 2020, Xue et al 2022.…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic NO _x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations

Mao,

Wang,

Jiang

et al. 2024

Environ. Res. Lett.

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Anthropogenic nitrogen oxide (NOx) emissions are closely associated with human activities. In recent years, global human activity patterns have changed significantly owing to the COVID‐19 epidemic and international energy crisis. However, their effects on NOx emissions are not yet fully understood. In this study, we developed a two-step inversion framework using NO2 observations from the TROPOMI satellite and the GEOS-Chem global atmospheric chemical transport model, and inferred global anthropogenic NOx emissions from 2019 to 2022, focusing on China, the United States (U.S.), and Europe. Our results indicated an 16.8% reduction in NOx emissions in 2020 and a 3.95% rebound in 2021 across all regions. China rebounded faster than the others, surpassing its 2019 levels by July 2020. In 2022, emissions declined in all regions, driven mainly by the Omicron variant, energy shortages, and clean energy policies. Our findings provide valuable insights for the development of effective future emission management strategies.

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NOx emissions in India derived from OMI satellite observations

Cited by 13 publications

References 38 publications

Monitoring European anthropogenic NOx emissions from space

Monitoring European anthropogenic NOx emissions from space

Why is ozone in South Korea and the Seoul Metropolitan Area so high and increasing?

Anthropogenic NO _x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations

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NOx emissions in India derived from OMI satellite observations

Cited by 13 publications

References 38 publications

Monitoring European anthropogenic NOx emissions from space

Monitoring European anthropogenic NOx emissions from space

Why is ozone in South Korea and the Seoul Metropolitan Area so high and increasing?

Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations

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Product

Resources

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Anthropogenic NO _x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations