Articles | Volume 14, issue 9
https://doi.org/10.5194/acp-14-4749-2014
https://doi.org/10.5194/acp-14-4749-2014
Research article
 | 
13 May 2014
Research article |  | 13 May 2014

Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model

J. P. Mulcahy, D. N. Walters, N. Bellouin, and S. F. Milton

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Cited articles

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Allan, R. P., Slingo, A., Milton, S. F., and Brooks, M. E.: Evaluation of the Met Office global forecast model using Geostationary Earth Radiation Budget (GERB) data, Q. J. Roy. Meteorol. Soc., 133, 1993–2010, 2007.
Allan, R. P., Woodage, M. J., Milton, S. F., Brooks, M. E., and Haywood, J. M.: Examination of long-wave radiative bias in general circulation models over North Africa during May–July, Q. J. Roy. Meteorol. Soc., 137, 1179–1192, https://doi.org/10.1002/qj.717, 2011.
Arribas, A., Glover, M., Maidens, A., Peterson, K., Gordan, M., MacLachlan, C., Graham, R., Fereday, D., Camp, J., Scaife, A. A., Xavier, P., McLean, P., Colman, A., and Cusack, S.: The GloSea4 ensemble prediction system for seasonal forecasting, Mon. Weather Rev., 139, 1891–1910, https://doi.org/10.1175/2010MWR3615.1, 2011.
Balkanski, Y., Schulz, M., Claquin, T., and Guibert, S.: Reevaluation of mineral aerosol forcings suggests a better agreement with satellite and AERONET data, Atmos. Chem. Phys., 7, 81–95, https://doi.org/10.5194/acp-7-81-2007, 2007.
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