Articles | Volume 15, issue 17
Atmos. Chem. Phys., 15, 10019–10031, 2015
https://doi.org/10.5194/acp-15-10019-2015
Atmos. Chem. Phys., 15, 10019–10031, 2015
https://doi.org/10.5194/acp-15-10019-2015
Research article
08 Sep 2015
Research article | 08 Sep 2015

Ensemble data assimilation of total column ozone using a coupled meteorology–chemistry model and its impact on the structure of Typhoon Nabi (2005)

S. Lim et al.

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Cited articles

Apodaca, K., Zupanski, M., DeMaria, M., Knaff, J. A., and Grasso, L. D.: Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model, Nonlin. Processes Geophys., 21, 1027–1041, https://doi.org/10.5194/npg-21-1027-2014, 2014.
Buehner, M.: Ensemble-derived stationary and flow-dependent background-error covariances, Q. J. Roy. Meteor. Soc., 131, 1013–1043, 2005.
Carmichael, G. R., Sandu, A., Chai, T., Daescu, D. N., Constantinescu, E. M., and Tang, Y.: Predicting air quality: improvements through advanced methods to integrate models and measurements, J. Comput. Phys., 227, 3540–3571, 2008.
Carsey, T. P. and Willoughby, H. E.: Ozone measurements from eyewall transects of two Atlantic tropical cyclones, Mon. Weather Rev., 133, 166–174, 2005.
Chapman, E. G., Gustafson Jr., W. I., Easter, R. C., Barnard, J. C., Ghan, S. J., Pekour, M. S., and Fast, J. D.: Coupling aerosol-cloud-radiative processes in the WRF-Chem model: Investigating the radiative impact of elevated point sources, Atmos. Chem. Phys., 9, 945–964, https://doi.org/10.5194/acp-9-945-2009, 2009.
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Short summary
In this study, the impact of O3 observations on the tropical cyclone (TC) structure is examined using the WRF-Chem with an ensemble-based data assimilation (DA) system. For a TC case that occurred over East Asia, the ensemble forecast is reasonable and the O3 assimilation affects both chemical and atmospheric variables near the TC area. All measures indicate a positive impact of DA on the analysis – the cost function and root mean square error have decreased by 16.9% and 8.87%, respectively.
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