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

DOI10.1515/RNAM-2024-0001OpenAlexW4391719050MaRDI QIDQ6155071

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

Publication date: 16 February 2024

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-2024-0001

zbMATH Keywords

model uncertaintysemi-Lagrangian advectionensemble weather forecaststochastic perturbations of departure points

Mathematics Subject Classification ID

Meteorology and atmospheric physics (86A10) Numerical solutions to stochastic differential and integral equations (65C30) Mathematical modeling or simulation for problems pertaining to geophysics (86-10)

Cites Work

• Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model
• Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter
• Local ensemble transform Kalman filter data assimilation system for the global semi-Lagrangian atmospheric model

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