Extremes in the marine environment: analysis of multi-temporal and multi-scale dynamics using observations, models, and machine learning techniques
Extremes in the marine environment: analysis of multi-temporal and multi-scale dynamics using observations, models, and machine learning techniques
Editor(s): Antonio Ricchi, Giovanni Liguori, Matjaz Licer, Milena Menna, Clea Denamiel, Aida Alvera-Azcárate, Joanna Staneva, and John C. Warner
Despite their socio-economic and environmental impacts, extreme events in the marine environment are generally poorly understood, simulated, or predicted. In particular, the dynamics of these events involve multiple temporal and spatial scales and can be driven by different mechanics and complex feedback involving the ocean and its interaction with the other spheres of the climate system. In response to climate change, the frequency and magnitude of these events could dramatically change, resulting in significant impacts on human life and property as well as on marine ecosystems. Hence, advancing our understanding of the dynamics leading to extremes in marine environments is crucial for improving their predictability, which, in turn, will help to achieve environmental and social sustainability. With this rationale, the special issue focuses on marine extremes at multiple temporal and spatial scales. Studies discussing ocean dynamics and air–sea interactions that can influence the evolution of marine extremes are particularly welcome; the inclusion of work using techniques ranging from in situ to remote-sensing observations and from numerical models to innovative artificial intelligence techniques (e.g. machine learning) is also encouraged. This diversity of topics makes for a highly multidisciplinary special issue, open to multiple applications in the field of marine extremes. Contributions related to the investigation of marine heat waves, marine storminess, storm surge and sea level rise, dense-water formation, deep-ocean extreme events, etc. are other examples of potential topics. The special issue has been stimulated by the EGU General Assembly 2023, session OS4.6.

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27 Sep 2024
Investigation of complex coastline geometry impact on the evolution of storm surges along the east coast of India: A sensitivity study using a numerical model
Pawan Tiwari, Ambarukhana D. Rao, Smita Pandey, and Vimlesh Pant
EGUsphere, https://doi.org/10.5194/egusphere-2024-2985,https://doi.org/10.5194/egusphere-2024-2985, 2024
Preprint under review for OS (discussion: open, 5 comments)
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06 Sep 2024
Investigating the long-term variability of the Red Sea marine heatwaves and their relationship to different climate modes: focus on 2010 events in the northern basin
Manal Hamdeno, Aida Alvera-Azcárate, George Krokos, and Ibrahim Hoteit
Ocean Sci., 20, 1087–1107, https://doi.org/10.5194/os-20-1087-2024,https://doi.org/10.5194/os-20-1087-2024, 2024
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06 Aug 2024
Subsurface manifestation of Marine Heatwaves in the South West Indian Ocean
Clea Baker Welch, Neil Malan, Daneeja Mawren, Tamaryn Morris, Janet Sprintall, and Juliet Clair Hermes
EGUsphere, https://doi.org/10.5194/egusphere-2024-2210,https://doi.org/10.5194/egusphere-2024-2210, 2024
Preprint under review for OS (discussion: open, 2 comments)
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22 May 2024
Assessing the storm surge model performance: What error indicators can measure the skill?
Rodrigo Campos-Caba, Lorenzo Mentaschi, Jacopo Alessandri, Paula Camus, Andrea Mazzino, Franceso Ferrari, Ivan Federico, Michalis Vousdoukas, and Massimo Tondello
EGUsphere, https://doi.org/10.5194/egusphere-2024-1415,https://doi.org/10.5194/egusphere-2024-1415, 2024
Revised manuscript accepted for OS (discussion: final response, 6 comments)
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28 Mar 2024
Tipping of the double-diffusive regime in the southern Adriatic Pit in 2017 in connection with record high-salinity values
Felipe L. L. Amorim, Julien Le Meur, Achim Wirth, and Vanessa Cardin
Ocean Sci., 20, 463–474, https://doi.org/10.5194/os-20-463-2024,https://doi.org/10.5194/os-20-463-2024, 2024
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28 Feb 2024
Predictability of marine heatwaves: assessment based on the ECMWF seasonal forecast system
Eric de Boisséson and Magdalena Alonso Balmaseda
Ocean Sci., 20, 265–278, https://doi.org/10.5194/os-20-265-2024,https://doi.org/10.5194/os-20-265-2024, 2024
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