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Items where Author is "Keane, Dr Richard John"

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Keane, R. J., Plant, R. S. ORCID: and Tennant, W. J. (2016) Evaluation of the Plant–Craig stochastic convection scheme (v2.0) in the ensemble forecasting system MOGREPS-R (24 km) based on the Unified Model (v7.3). Geoscientific Model Development, 9 (5). pp. 1921-1935. ISSN 1991-9603 doi:

Davies, L., Jakob, C., Cheung, K., Del Genio, A., Hill, A., Hume, T., Keane, R. J., Komori, T., Larson, V. E., Lin, Y., Liu, X., Neilsen, B. J., Petch, J., Plant, R. S. ORCID:, Singh, M. S., Shi, X., Song, X., Wang, W., Whitall, M. A., Wolf, A., Xie, S. and Zhang, G. (2013) A single-column model ensemble approach applied to the TWP-ICE experiment. Journal of Geophysical Research, 118 (12). pp. 6544-6563. ISSN 0148-0227 doi:

Plant, R. S. ORCID: and Keane, R. J. (2011) Large-scale length and time scales for use with stochastic convective parameterization. Quarterly Journal of the Royal Meteorological Society, 138 (666). pp. 1150-1164. ISSN 1477-870X doi:

Book or Report Section

Plant, R. S. ORCID:, Keane, R. J., Tennant, W. J. and Whitall, M. A. W. (2011) Stochastic parameterization: uncertainties from convection. In: Workshop on Representing Model Uncertainty and Error in Numerical Weather and Climate Prediction Models, 20-24 June 2011. ECMWF, Shinfield park, Reading, pp. 233-242.


Xavier, P., Willett, M., Graham, T., Earnshaw, P., Copsey, D., Narayan, N., Marzin, C., Zhu, H., Sellar, A., Ackerley, D., Blockley, E., Bodas-Salcedo, A., Bushell, A., Choi, N., Chua, X. R., Guiavarc’h, C., Hassim, M., Heming, J., Hudson, D., Ineson, S., Jones, C., Keane, R. J., Kim, K., Kim, J., Kuhlbrodt, T. ORCID:, In Lee, M., Le, C., Martin, G., Mccabe, A., Moise, A., Ridley, J., Robert, L., Sahany, S., Schiemann, R. K. H. ORCID:, Storkey, D., Tennant, W., Tomassini, L., Tsushima, Y., Weedon, G. P., West, A., Wheeler, M., Zhou, X. and Zhu, H., (2023) Assessment of the Met Office Global Coupled model version 5 (GC5)configurations. Report. Met Office, Exeter. pp41.

This list was generated on Sat May 25 07:46:39 2024 UTC.

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