Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts

Wang, Yi; Wang, Jun; Zhou, Meng; Henze, Daven K.; Ge, Cui; Wang, Wei

doi:https://doi.org/10.5194/acp-20-6651-2020

Articles | Volume 20, issue 11

https://doi.org/10.5194/acp-20-6651-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-6651-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 11

Research article

|

05 Jun 2020

Research article |

| 05 Jun 2020

Inverse modeling of SO₂ and NO_x emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts

Yi Wang, Jun Wang, Meng Zhou, Daven K. Henze, Cui Ge, and Wei Wang

Supplement

https://doi.org/10.5194/acp-20-6651-2020-supplement

Data sets

In situ surface SO2, NO2, and O3 observations over China W. Wang https://arroma.uiowa.edu/all_datasets.php

VIIRS night-time lights C. D. Elvidge, K. Baugh, M. Zhizhin, F. C. Hsu, and T. Ghosh https://ngdc.noaa.gov/eog/viirs/download_dnb_composites.html

Sentinel-5P TROPOMI Tropospheric NO2 1-Orbit L2 7 km × 3.5 km Koninklijk Nederlands Meteorologisch Instituut (KNMI) https://disc.gsfc.nasa.gov/datasets/S5P_L2__NO2____1/summary

The MIX emission inventory for GEOS-Chem simulation M. Li, Q. Zhang, J. I. Kurokawa, J H. Woo, K. He, Z. Lu, T. Ohara, Y. Song, D. G. Streets, G. R. Carmichael, Y. Cheng, C. Hong, H. Huo, X. Jiang, S. Kang, F. Liu, H. Su, and B. Zheng http://geoschemdata.computecanada.ca/ExtData/HEMCO/MIX/v2015-03/

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Short summary

We developed four different methods to downscale SO₂ and NO₂ emissions derived from OMPS satellite observations (in Part 1) for regional air quality modeling at a spatial resolution that is finer than satellite observations. The VIIRS (city lights), TROPOMI, and OMI satellite data as well as surface data are used to evaluate the model. The method of using the top-down emissions from the past month for the air quality forecast in the present month is also shown to have practical merit.