Statistical and machine learning methods  for evaluating trends in air quality under  changing meteorological conditions

Qiu, Minghao; Zigler, Corwin; Selin, Noelle E.

doi:https://doi.org/10.5194/acp-22-10551-2022

Articles | Volume 22, issue 16

https://doi.org/10.5194/acp-22-10551-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-10551-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 16

Research article

|

19 Aug 2022

Research article |

| 19 Aug 2022

Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions

Minghao Qiu, Corwin Zigler, and Noelle E. Selin

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Cited articles

Abatzoglou, J. T. and Williams, A. P.: Impact of anthropogenic climate change on wildfire across western US forests, P. Natl. Acad. Sci. USA, 113, 11770–11775, 2016. a

Beijing Municipal Ecology and Environment Bureau: Beijing Clean Air Action Plan (2013–2017), http://sthjj.beijing.gov.cn/bjhrb/index/xxgk69/sthjlyzwg/wrygl/603133/index.html (last access: March 2022), 2013. a

Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q., Liu, H. Y., Mickley, L. J., and Schultz, M. G.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res.-Atmos., 106, 23073–23095, https://doi.org/10.1029/2001JD000807, 2001. a

Burke, M., Driscoll, A., Heft-Neal, S., Xue, J., Burney, J., and Wara, M.: The changing risk and burden of wildfire in the United States, P. Natl. Acad. Sci. USA, 118, e2011048118, https://doi.org/10.1073/pnas.2011048118, 2021. a

Camalier, L., Cox, W., and Dolwick, P.: The effects of meteorology on ozone in urban areas and their use in assessing ozone trends, Atmos. Environ., 41, 7127–7137, https://doi.org/10.1016/j.atmosenv.2007.04.061, 2007. a