Articles | Volume 12, issue 23
Atmos. Chem. Phys., 12, 11295–11308, 2012
https://doi.org/10.5194/acp-12-11295-2012

Special issue: MILAGRO/INTEX-B 2006

Special issue: Megacities: air quality and climate impacts from local to...

Atmos. Chem. Phys., 12, 11295–11308, 2012
https://doi.org/10.5194/acp-12-11295-2012

Research article 03 Dec 2012

Research article | 03 Dec 2012

Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign

N. Bei et al.

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Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Aksoy, A., Zhang, F., Nielsen-Gammon, J. W., and Epifanio, C. C.: Data assimilation with the ensemble Kalman filter for thermally forced circulations, J. Geophys. Res., 110, D16105, https://doi.org/10.1029/2004JD005718, 2005.
Aksoy, A., Zhang, F., and Nielsen-Gammon, J. W.: Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea breeze model, Mon. Weather Rev., 134, 2951–2970, 2006.
Barker, D. M., Huang, W., Guo, Y.-R., Bourgeois, A. J., and Xiao, Q. N.: A three-dimensional variational data assimilation system for MM5: Implementation and initial results, Mon. Weather Rev., 132, 897–914, 2004.
Beekmann, M. and Derognat, C.: Monte Carlo uncertainty analysis of a regional-scale chemistry model constrained by measurements from the Atmospheric Pollution Over the Paris Area (ESQUIF) campaign, J. Geophys. Res., 108, 8559, https://doi.org/10.1029/2003JD003391, 2003.
Bei, N., de Foy, B., Lei, W., Zavala, M., and Molina, L. T.: Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin, Atmos. Chem. Phys., 8, 7353–7366, https://doi.org/10.5194/acp-8-7353-2008, 2008.
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