High-resolution data assimilation through stochastic subgrid tensor and parameter estimation from 4DEnVar
In this paper, we explore a dynamical formulation allowing to assimilate high-resolution data in a large-scale fluid flow model. This large-scale formulation relies on a random modelling of the small-scale velocity component and allows to take into account the scale discrepancy between the dynamics...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Stockholm University Press
2017-01-01
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| Серія: | Tellus: Series A, Dynamic Meteorology and Oceanography |
| Предмети: | |
| Онлайн доступ: | http://dx.doi.org/10.1080/16000870.2017.1308772 |
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