The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Effect of changing NO x lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO 2 columns over China
Open accessAbstract
Abstract. Satellite observations of tropospheric NO2 columns are extensively used to infer trends in anthropogenic emissions of nitrogen oxides (NOx≡NO+NO2), but this may be complicated by trends in NOx lifetime. Here we use 2004–2018 observations from the Ozone Monitoring Instrument (OMI) satellite-based instrument (QA4ECV and POMINO v2 retrievals) to examine the seasonality and trends of tropospheric NO2 columns over central–eastern China, and we interpret the results with the GEOS-Chem chemical transport model. The observations show a factor of 3 increase in NO2 columns from summer to winter, which we explain in GEOS-Chem as reflecting a longer NOx lifetime in winter than in summer (21 h versus 5.9 h in 2017). The 2005–2018 summer trends of OMI NO2 closely follow the trends in the Multi-resolution Emission Inventory for China (MEIC), with a rise over the 2005–2011 period and a 25 % decrease since. We find in GEOS-Chem no significant trend of the NOx lifetime in summer, supporting the emission trend reported by the MEIC. The winter trend of OMI NO2 is steeper than in summer over the entire period, which we attribute to a decrease in NOx lifetime at lower NOx emissions. Half of the NOx sink in winter is from N2O5 hydrolysis, which counterintuitively becomes more efficient as NOx emissions decrease due to less titration of ozone at night. The formation of organic nitrates also becomes an increasing sink of NOx as NOx emissions decrease but emissions of volatile organic compounds (VOCs) do not.
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The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., et al. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0758.1 · Cited by 9,010
Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi, J., et al. (2018) · Atmospheric Chemistry and Physics · doi:10.5194/acp-18-14095-2018 · Cited by 2,916
Self-citationThe ozone monitoring instrument
Levelt, P. F., van den Oord, G. H. J., Dobber, M. R., Malkki, A., Visser, H., de Vries, J., Stammes, P., Lundell, J. O. V., & Saari, H. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.872333 · Cited by 2,007
Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China
Li, K., Jacob, D. J., Liao, H., Shen, L., Zhang, Q., & Bates, K. H. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1812168116 · Cited by 1,804
Self-citationLi, M., Zhang, Q., Kurokawa, J.-I., Woo, J.-H., He, K., Lu, Z., Ohara, T., Song, Y., Streets, D. G., Carmichael, G. R., et al. (2017) · Atmospheric Chemistry and Physics · doi:10.5194/acp-17-935-2017 · Cited by 1,616
Self-citationIncrease in tropospheric nitrogen dioxide over China observed from space
Richter, A., Burrows, J. P., Nüß, H., Granier, C., & Niemeier, U. (2005) · Nature · doi:10.1038/nature04092 · Cited by 1,332
Anthropogenic emission inventories in China: a review
Li, M., Liu, H., Geng, G., Hong, C., Liu, F., Song, Y., Tong, D., Zheng, B., Cui, H., Man, H., et al. (2017) · National Science Review · doi:10.1093/nsr/nwx150 · Cited by 1,304
Self-citationHeterogeneous chemistry and tropospheric ozone
Jacob, D. (2000) · Atmospheric Environment · doi:10.1016/s1352-2310(99)00462-8 · Cited by 1,289
Self-citationGranier, C., Bessagnet, B., Bond, T., D’Angiola, A., Denier van der Gon, H., Frost, G. J., Heil, A., Kaiser, J. W., Kinne, S., Klimont, Z., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0154-1 · Cited by 847
Zhai, S., Jacob, D. J., Wang, X., Shen, L., Li, K., Zhang, Y., Gui, K., Zhao, T., & Liao, H. (2019) · Atmospheric Chemistry and Physics · doi:10.5194/acp-19-11031-2019 · Cited by 785
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Cited by
A two-pollutant strategy for improving ozone and particulate air quality in China
Li, K., Jacob, D. J., Liao, H., Zhu, J., Shah, V., Shen, L., Bates, K. H., Zhang, Q., & Zhai, S. (2019) · Nature Geoscience · doi:10.1038/s41561-019-0464-x · Cited by 874
Self-citationDisentangling the Impact of the COVID‐19 Lockdowns on Urban NO 2 From Natural Variability
Goldberg, D. L., Anenberg, S. C., Griffin, D., McLinden, C. A., Lu, Z., & Streets, D. G. (2020) · Geophysical Research Letters · doi:10.1029/2020gl089269 · Cited by 289
Metadata
- Authors
- Shah, V., Jacob, D. J., Li, K., Silvern, R. F., Zhai, S., Liu, M., Lin, J., & Zhang, Q.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2020-02-07
- Volume
- 20
- Issue
- 3
- Pages
- 1483-1495
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2969758626
- Cited by
- 298
- References
- 81
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- gold
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