Articles | Volume 6, issue 6
https://doi.org/10.5194/gmd-6-2005-2013
https://doi.org/10.5194/gmd-6-2005-2013
Model evaluation paper
 | 
19 Nov 2013
Model evaluation paper |  | 19 Nov 2013

The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework

K. Yumimoto and T. Takemura

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Cited articles

Andres, R. J. and Kasgnoc, A. D.: A time-averaged inventory of subaerial volcanic, J. Geophys. Res., 103, 251–261, https://doi.org/10.1029/98JD02091, 1998.
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 Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation, J. Geophys. Res., 114, D13205, https://doi.org/10.1029/2008JD011115, 2009.
Carmichael, G., Sandu, A., Chai, T., Daescu, D., Constantinescu, E., and Tang, Y.: Predicting air quality: Improvements through advanced methods to integrate models and measurements, J. Comput. Phys., 227, 3540–3571, https://doi.org/10.1016/j.jcp.2007.02.024, 2008.
Chai, T., Carmichael, G. R., Sandu, A., Tang, Y., and Daescu, D. N.: Chemical data assimilation of Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft measurements, J. Geophys. Res., 111, 1–18, https://doi.org/10.1029/2005JD005883, 2006.
Chai, T., Carmichael, G. R., Tang, Y., Sandu, A., Hardesty, M., Pilewskie, P., Whitlow, S., Browell, E. V., Avery, M. A., Nédélec, P., Merrill, J. T., Thompson, A. M., and Williams, E.: Four-dimensional data assimilation experiments with International Consortium for Atmospheric Research on Transport and Transformation ozone measurements, J. Geophys. Res., 112, D12S15, https://doi.org/10.1029/2006JD007763, 2007.
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