Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model

DOI10.1515/rnam-2022-0027OpenAlexW4312111882MaRDI QIDQ2105833

Vasiliy G. Mizyak, Gordey S. Goyman, Vladimir S. Rogutov, Kseniya A. Alipova, Mikhail A. Tolstykh

Publication date: 8 December 2022

Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/rnam-2022-0027

zbMATH Keywords

model uncertaintyensemble weather forecaststochastic parameter perturbationstochastic perturbation of tendencies

Mathematics Subject Classification ID

Meteorology and atmospheric physics (86A10) Numerical analysis (65-XX) Mathematical modeling or simulation for problems pertaining to geophysics (86-10)

Related Items (1)

Stochastic perturbations in the semi-Lagrangian advection algorithm of the SL-AV global atmosphere model

Cites Work

• Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter
• Ensemble forecasting
• Uncertainty estimation and prediction for interdisciplinary ocean dynamics
• Local ensemble transform Kalman filter data assimilation system for the global semi-Lagrangian atmospheric model
• Addressing model error through atmospheric stochastic physical parametrizations: impact on the coupled ECMWF seasonal forecasting system
• Stochastic Processes on a Sphere

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