Articles | Volume 11, issue 11
Model evaluation paper
27 Nov 2018
Model evaluation paper |  | 27 Nov 2018

The Indian summer monsoon in MetUM-GOML2.0: effects of air–sea coupling and resolution

Simon C. Peatman and Nicholas P. Klingaman

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Cited articles

Bombardi, R. J., Schneider, E. K., Marx, L., Halder, S., Singh, B., Tawfik, A. B., Dirmeyer, P. A., and Kinter, J. L.: Improvements in the Representation of the Indian Summer Monsoon in the NCEP Climate Forecast System Version 2, Clim. Dynam., 45, 2485–2498,, 2015. a
Bush, S. J., Turner, A. G., Woolnough, S. J., Martin, G. M., and Klingaman, N. P.: The effect of increased convective entrainment on Asian monsoon biases in the MetUM general circulation model, Q. J. Roy. Meteor. Soc., 141, 311–326,, 2015. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597,, 2011. a
DeMott, C. A., Stan, C., Randall, D. A., Kinter, J. L., and Khairoutdinov, M.: The Asian monsoon in the superparameterized CCSM and its relationship to tropical wave activity, J. Climate, 24, 5134–5156,, 2011. a, b, c
DeMott, C. A., Stan, C., Randall, D. A., and Branson, M. D.: Intraseasonal variability in coupled GCMs: The roles of ocean feedbacks and model physics, J. Climate, 27, 4970–4995,, 2014. a, b
Short summary
We investigate the simulation of the Indian monsoon in the UK Met Office climate model. We simulate both the atmosphere and the ocean (which can interact with each other) and compare against simulating the atmosphere alone. Atmosphere–ocean interactions make the modelled average monsoon climate less realistic because the sea surface temperature is wrong in the model, but the interactions make individual rain events, in which storms propagate northwards over the Indian Ocean, more realistic.