Derivation of stochastic models for coastal waves
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866929539674800128 |
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| author | Debussche, Arnaud Mémin, Étienne Moneyron, Antoine |
| author_facet | Debussche, Arnaud Mémin, Étienne Moneyron, Antoine |
| contents | In this paper, we consider a stochastic nonlinear formulation of classical coastal waves models under location uncertainty (LU). In the formal setting investigated here, stochastic versions of the Serre-Green- Nagdi, Boussinesq and classical shallow water wave models are obtained through an asymptotic expansion, which is similar to the one operated in the deterministic setting. However, modified advection terms emerge, together with advection noise terms. These terms are well-known features arising from the LU formalism, based on momentum conservation principle. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_02298 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Derivation of stochastic models for coastal waves Debussche, Arnaud Mémin, Étienne Moneyron, Antoine Probability In this paper, we consider a stochastic nonlinear formulation of classical coastal waves models under location uncertainty (LU). In the formal setting investigated here, stochastic versions of the Serre-Green- Nagdi, Boussinesq and classical shallow water wave models are obtained through an asymptotic expansion, which is similar to the one operated in the deterministic setting. However, modified advection terms emerge, together with advection noise terms. These terms are well-known features arising from the LU formalism, based on momentum conservation principle. |
| title | Derivation of stochastic models for coastal waves |
| topic | Probability |
| url | https://arxiv.org/abs/2407.02298 |