Analysis of Sea Surface Temperature Variability Using Machine Learning
Sea surface temperature (SST) is a critical factor in the global climate system and plays a key role in many marine processes. Understanding the variability of SST is therefore important for a range of applications, including weather and climate prediction, ocean circulation modeling, and marine resource management. In this study, we use machine learning techniques to analyze SST anomaly (SSTA) data from the Mediterranean Sea over a period of 33 years. The objective is to best explain the temporal variability of the SSTA extremes. These extremes are revealed to be well explained through a non-linear interaction between multi-scale processes. The results contribute to better unveil factors influencing SSTA extremes, and the development of more accurate prediction models.
Ouala Said, Chapron Bertrand, Collard Fabrice, Gaultier Lucile, Fablet Ronan (2024). Analysis of Sea Surface Temperature Variability Using Machine Learning. In Chapron, B., Crisan, D., Holm, D., Mémin, E., Radomska, A. (eds) Stochastic Transport in Upper Ocean Dynamics II. STUOD 2022. Part of the Mathematics of Planet Earth book series (MPE,volume 11). Springer, Cham. Print ISBN 978-3-031-40093-3 Online ISBN 978-3-031-40094-0, https://doi.org/10.1007/978-3-031-40094-0_11. pp.247-260. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40094-0_11, https://archimer.ifremer.fr/doc/00856/96753/
Jamet Quentin, Mémin Etienne, Dumas Franck, Li Long, Garreau Pierre (2024). Toward a Stochastic Parameterization for Oceanic Deep Convection. In Chapron, B., Crisan, D., Holm, D., Mémin, E., Radomska, A. (eds) Stochastic Transport in Upper Ocean Dynamics II. STUOD 2022. Part of the Mathematics of Planet Earth book series (MPE,volume 11). Springer, Cham. Print ISBN 978-3-031-40093-3 Online ISBN 978-3-031-40094-0. https://doi.org/10.1007/978-3-031-40094-0_6. pp.143-157. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40094-0_6, https://archimer.ifremer.fr/doc/00856/96756/
Lobbe Alexander, Crisan Dan, Holm Darryl, Mémin Etienne, Lang Oana, Chapron Bertrand (2024). Comparison of Stochastic Parametrization Schemes Using Data Assimilation on Triad Models. In Chapron, B., Crisan, D., Holm, D., Mémin, E., Radomska, A. (eds) Stochastic Transport in Upper Ocean Dynamics II. STUOD 2022. Part of the Mathematics of Planet Earth book series (MPE,volume 11). Springer, Cham. Print ISBN 978-3-031-40093-3 Online ISBN 978-3-031-40094-0. https://doi.org/10.1007/978-3-031-40094-0_7. pp.159-191. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40094-0_7, https://archimer.ifremer.fr/doc/00856/96755/
Mémin Etienne, Li Long, Lahaye Noe, Tissot Gilles, Chapron Bertrand (2024). Linear Wave Solutions of a Stochastic Shallow Water Model. In Chapron, B., Crisan, D., Holm, D., Mémin, E., Radomska, A. (eds) Stochastic Transport in Upper Ocean Dynamics II. STUOD 2022. Part of the Mathematics of Planet Earth book series (MPE,volume 11). Springer, Cham. Print ISBN 978-3-031-40093-3 Online ISBN 978-3-031-40094-0. https://doi.org/10.1007/978-3-031-40094-0_10. pp.223-245. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40094-0_10, https://archimer.ifremer.fr/doc/00856/96754/
Resseguier Valentin, Zhen Yicun, Chapron Bertrand (2024). Constrained Random Diffeomorphisms for Data Assimilation. In Chapron, B., Crisan, D., Holm, D., Mémin, E., Radomska, A. (eds) Stochastic Transport in Upper Ocean Dynamics II. STUOD 2022. Part of the Mathematics of Planet Earth book series (MPE,volume 11).. Springer, Cham. Print ISBN 978-3-031-40093-3 Online ISBN 978-3-031-40094-0, 10.1007/978-3-031-40094-0_13, pp.281-292. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40094-0_13, https://archimer.ifremer.fr/doc/00856/96752/
Tissot Gilles, Mémin Étienne, Jamet Quentin (2024). Stochastic Compressible Navier–Stokes Equations Under Location Uncertainty. In Chapron, B., Crisan, D., Holm, D., Mémin, E., Radomska, A. (eds) Stochastic Transport in Upper Ocean Dynamics II. STUOD 2022. Part of the Mathematics of Planet Earth book series (MPE,volume 11).. Springer, Cham. Print ISBN 978-3-031-40093-3 Online ISBN 978-3-031-40094-0, https://doi.org/10.1007/978-3-031-40094-0_14. pp.293-319. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40094-0_14, https://archimer.ifremer.fr/doc/00856/96751/
