A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System

By J. Berner, G. Shutts, Martin Leutbecher, Tim N. Palmer. 2009

376 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a7422e81c2f02036218ca5c8becd4b793cbbd2f7

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Citations in the corpus

Introducing independent patterns into the Stochastically Perturbed Parametrization Tendencies (SPPT) scheme (2017, methodology): “Operationally, forecast uncertainties due to the model integrations are represented by the (standard) SPPT scheme and the Stochastic Kinetic Energy Backscatter (SKEB) scheme (Berner et al., 2009).”
Local martingale and pathwise solutions for an abstract fluids model (2010, neutral): “We therefore infer that ‖σ(Ũ)‖L2(U,H) is uniformly integrable in L(Ω× [0, T ]) for any p ∈ [1, 4).”
The forecast skill horizon (2015, methodology): “…called with the same parameters), P′j represents the model uncertainty simulated using two model error schemes, the SPPT (Buizza et al., 1999; Palmer et al., 2009) and SKEB (Berner et al., 2008; Palmer et al., 2009) schemes, and the lead time and start date are denoted by t and d, respectively.”
Performance of the New NCEP Global Ensemble Forecast System in a Parallel Experiment (2017, background): “…physics suite has three components, including 1) stochastically perturbed physics tendencies (SPPTs; Buizza et al. 1999; Palmer 1997, 2001), 2) stochastically perturbed planetary boundary layer humidity (SHUM), and 3) stochastic kinetic energy backscatter (SKEB; Berner et al. 2009; Shutts 2005).”
Stochastic parametrization and model uncertainty (2009, methodology): “…and 1 unperturbed analyses were generated by randomly perturbing the observations in each single assimilation cycle at TL399L91 resolution, with a 12-hour 4D-Var with TL159L91 inner loops, and by including a version of the stochastic backscatter scheme (Shutts, 2005; Berner et al., 2009b).”
Enhanced Adaptive Inflation Algorithm for Ensemble Filters (2018, background): “2007) or its physical andmodel-based nature (e.g.,Meng andZhang 2007; Berner et al. 2009).”