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Statistical dynamical model to predict extreme events and anomalous features in shallow water waves with abrupt depth change
Understanding and predicting extreme events and their anomalous statistics in complex nonlinear systems are a grand challenge in climate, material, and neuroscience as well as for engineering design. Recent laboratory experiments in weakly turbulent shallow water reveal a remarkable transition from...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6410832/ https://ncbi.nlm.nih.gov/pubmed/30760588 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1820467116 |
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