Articles | Volume 20, issue 23
Atmos. Chem. Phys., 20, 15401–15426, 2020
https://doi.org/10.5194/acp-20-15401-2020
Atmos. Chem. Phys., 20, 15401–15426, 2020
https://doi.org/10.5194/acp-20-15401-2020

Research article 11 Dec 2020

Research article | 11 Dec 2020

Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models

Shuo Wang et al.

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Cited articles

Achtemeier, G. L., Goodrick, S. A., Liu, Y., Garcia-Menendez, F., Hu. Y., and Odman, M. T.: Modeling Smoke Plume-Rise and Dispersion from Southern United States Prescribed Burns with Daysmoke, Atmosphere, 2, 358–388, https://doi.org/10.3390/atmos2030358, 2011. 
Boersma, K. F., Eskes, H. J., Veefkind, J. P., Brinksma, E. J., van der A, R. J., Sneep, M., van den Oord, G. H. J., Levelt, P. F., Stammes, P., Gleason, J. F., and Bucsela, E. J.: Near-real time retrieval of tropospheric NO2 from OMI, Atmos. Chem. Phys., 7, 2103–2118, https://doi.org/10.5194/acp-7-2103-2007, 2007 
Briggs, G. A.: A plume rise model compared with observations, Journal of the Air Pollution Control Association, 15, 433–438, https://doi.org/10.1080/00022470.1965.10468404, 1965. 
Buchard, V., da Silva, A. M., Colarco, P. R., Darmenov, A., Randles, C. A., Govindaraju, R., Torres, O., Campbell, J., and Spurr, R.: Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis, Atmos. Chem. Phys., 15, 5743–5760, https://doi.org/10.5194/acp-15-5743-2015. 
Chew, B. N., Campbell, J. R., Salinas, S. V., Chang, C., W., Reid, J. S., Welton, E. J., and Liew, S. C.: Aerosol particle vertical distributions and optical properties over Singapore, Atmos. Environ., 79, 599–613, https://doi.org/10.1016/j.atmosenv.2013.06.026, 2013. 
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Short summary
We analyze global measurements of aerosol height from fires. A plume rise model reproduces measurements with a low bias in five regions, while a statistical model based on satellite measurements of trace gasses co-emitted from the fires reproduces measurements without bias in eight regions. We propose that the magnitude of the pollutants emitted may impact their height and subsequent downwind transport. Using satellite data allows better modeling of the global aerosol distribution.
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