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Volume 13, issue 6
Atmos. Chem. Phys., 13, 3481–3500, 2013
https://doi.org/10.5194/acp-13-3481-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 13, 3481–3500, 2013
https://doi.org/10.5194/acp-13-3481-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Mar 2013

Research article | 27 Mar 2013

Ensemble filter based estimation of spatially distributed parameters in a mesoscale dust model: experiments with simulated and real data

V. M. Khade et al.

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Cited articles

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.
Anderson, J. L.: An Ensemble Adjustment Kalman filter for data assimilation, {Mon. Weather Rev., }129, 2884–2902, 2001.
Anderson, J. L., Hoar, T., Raeder, K., Liu, H., Collins, N., Torn, R., and Avellano, A.: The Data Assimilation Testbed: A Community Facility, {B. Am. Meteor. Soc., }90, 1283–1296, 2009.
Annan, J. D., Hargreaves, J. C., Edwards, N. R., and Marsh, R.: Parameter estimation in an intermediate complexity Earth System Model using an Ensemble Kalman filter, Ocean Model., 8, 135–154, 2005.
Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentje, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold, A., Razinger, M., Simmons, A. J., and Suttie, M.: Aerosol analysis and forecast in the European Center for Medium-Range Weather Forecasts Integrated Forecast System : 2. Data Assmilation. {J. Geophys. Res., }114, D13205, https://doi.org/10.1029/2008JD011115, 2009.
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