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Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV modelстатья
Статья опубликована в журнале из списка RSCI Web of Science
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Alipova Kseniya A., Goyman Gordey S., Tolstykh Mikhail A., Mizyak Vasiliy G., Rogutov Vladimir S.
- Журнал: Russian Journal of Numerical Analysis and Mathematical Modelling
- Том: 37
- Номер: 6
- Год издания: 2022
- Издательство: V S P
- Местоположение издательства: Netherlands
- Первая страница: 331
- Последняя страница: 347
- DOI: 10.1515/rnam-2022-0027
- Аннотация: Algorithms for stochastic perturbation of parameters and tendencies of physical parameterizations for subgrid-scale processes are implemented into the ensemble prediction system. This system is based on the global semi-Lagrangian atmospheric model SL-AV with the resolution of 0.9 × 0.72 degrees in longitude and latitude, respectively, 96 vertical levels, and our implementation of the Local Ensemble Tranform Kalman Filter (LETKF). The use of stochastically perturbed parameterizations allows to generate ensembles with a significantly larger spread compared to one obtained with the method of static parameter perturbation. An improvement in the probabilistic estimates of the ensemble forecast for different seasons is shown.
- Добавил в систему: Толстых Михаил Андреевич