Articles | Volume 12, issue 1
Development and technical paper
16 Jan 2019
Development and technical paper |  | 16 Jan 2019

Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)

Clemens Wastl, Yong Wang, Aitor Atencia, and Christoph Wittmann

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Cited articles

Bénard, P., Vivoda, J., Mašek, J., Smolıková, P., Yessad, K., Smith, C., Brožková, R., and Geleyn, J. F.: Dynamical kernel of the Aladin-NH spectral limited-area model: revised formulation and sensitivity experiments, Q. J. Roy. Meteor. Soc., 139, 155–169,, 2010. 
Bengtsson, L., Steinheimer, M., Bechtold, P., and Geleyn, J. F.: A stochastic parametrization for deep convection using cellular automata, Q. J. Roy. Meteor. Soc., 139, 1533–1543,, 2013. 
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,, 2009. 
Berner, J., Fossell, K. R., Ha, S. Y., Hacker, J. P., and Snyder, C.: Increasing the skill of probabilistic forecasts: Understanding performance improvements from model-error representations, Mon. Weather Rev., 143, 1295–1320,, 2015. 
Short summary
Ensemble forecasting at the convection-permitting scale (< 3 km) requires new methodologies in representing model uncertainties. In this paper a new stochastic scheme is proposed and tested in the complex terrain of the Alps. In this scheme the tendencies of the physical parametrizations are perturbed separately, which sustains a physically consistent relationship between the processes. This scheme increases the stability of the model and leads to improvements in the probabilistic performance.