Articles | Volume 14, issue 7
https://doi.org/10.5194/acp-14-3511-2014
https://doi.org/10.5194/acp-14-3511-2014
Research article
 | 
08 Apr 2014
Research article |  | 08 Apr 2014

Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign

Y. Wang, K. N. Sartelet, M. Bocquet, and P. Chazette

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Cited articles

Balgovind, R., Dalcher, A., Ghil, M., and Kalnay, E.: A Stochastic-Dynamic Model for the Spatial Structure of Forecast Error Statistics, Mon. Weather Rev., 111, 701–722, 1983.
Bouttier, F. and Courtier, P.: Data assimilation concepts and methods, Meteorological Training Course Lecture Series, March 1999, ECMWF, Reading, UK, 2002.
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models, Atmos. Environ., 40, 4946–4959, 2006.
Brandt, J., Silver, J. D., Frohn, L. M., Geels, C., Gross, A., Hansen, A. B., Hansen, K. M., Hedegaard, G. B., Skjøth, C. A., Villadsen, H., Zare, A., and Christensen, J. H.: An integrated model study for Europe and North America using the Danish Eulerian Hemispheric Model with focus on intercontinental transport of air pollution, Atmos. Environ., 53, 156–176, https://doi.org/10.1016/j.atmosenv.2012.01.011, 2012.
Chazette, P., Sanak, J., and Dulac, F.: New Approach for Aerosol Profiling with a Lidar Onboard an Ultralight Aircraft: Application to the African Monsoon Multidisciplinary Analysis, Environ. Sci. Technol., 41, 8335–8341, 2007.
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