Articles | Volume 12, issue 10
https://doi.org/10.5194/acp-12-4555-2012
https://doi.org/10.5194/acp-12-4555-2012
Research article
 | 
24 May 2012
Research article |  | 24 May 2012

Ensemble forecasting with a stochastic convective parametrization based on equilibrium statistics

P. Groenemeijer and G. C. Craig

Related subject area

Subject: Dynamics | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Applequist, S., Gahrs, G. E., Pfeffer, R. L., and Niu, X.-F.: Comparison of Methodologies for Probabilistic Quantitative Precipitation Forecasting, Weather Forecast., 17, 783–799, 2002.
Berner, J., Doblas-Reyes, F. J., Palmer, T. N., Shutts, G. J., and Weisheimer, A.: Impact of a quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal predicition skill of a global climate model, Phil. Trans. R. Soc A, 366, 2561–2579, https://doi.org/10.1098/rsta.2008.0031, 2008.
Berner, J., Shutts, G. J., Leutbecher, M., and Palmer, T. N.: A spectral stochastic kinetic energy backscatter scheme and its impact on flow-dependent predictability in the ECMWF Ensemble Prediction System. J. Atmos. Sci., 66, 603–626. https://doi.org/10.1175/2008JAS2677.1, 2009.
Bowler, N. E., Arribas, A., Beare, S. E., Mylne, K. R., and Shutts, G. J.: The local ETKF and SKEB: Upgrades to the MOGREPS short-range ensemble prediction system, Q. J. Roy. Meteorol. Soc., 135, 767–776, 2009.
Bremnes, J. B.: Probabilistic Forecasts of Precipitation in Terms of Quantiles Using NWP Model Output, {Mon. Weather Rev., }132, 338–347, 2003.
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