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Robust learning algorithms for capturing oceanic dynamics and transport of Noctiluca blooms using linear dynamical models
The blooms of Noctiluca in the Gulf of Oman and the Arabian Sea have been intensifying in recent years, posing now a threat to regional fisheries and the long-term health of an ecosystem supporting a coastal population of nearly 120 million people. We present the results of a local-scale data analys...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6564007/ https://www.ncbi.nlm.nih.gov/pubmed/31194825 http://dx.doi.org/10.1371/journal.pone.0218183 |