Marine extreme events, including storm surges, marine heatwaves and cold spells, harmful algal and jellyfish blooms, acidification and deoxygenation extremes, ocean responses to severe storms and cyclones, and temporally or spatially compounding events, have major impacts on marine ecosystems, coastal communities and global economies. Under climate change, their frequency, intensity, duration and co-occurrence are changing, yet many of these events remain poorly understood, simulated and predicted.
Their dynamics span a broad range of spatial and temporal scales and often involve complex interactions and feedback within the ocean and across the atmosphere-ocean interface. Understanding these multi-scale processes, including interactions among physical, biogeochemical and biological extremes, their cascading effects, and ecosystem impacts, is crucial to improve their detection, attribution and predictability.
This session encourages contributions addressing the dynamics of marine, coastal and coupled atmosphere-ocean extremes, including event attribution and future projections. We welcome novel observations and detection strategies, numerical and coupled modelling, statistical and machine-learning approaches for understanding and forecasting extremes, as well as studies of compound and cascading events. Ecosystem and socio-economic impact assessments linked to marine extremes and relevant to risk reduction, mitigation and adaptation are also encouraged.
OS4
Ocean extremes: multi-scale dynamics through observations, models and machine learning techniques
Convener:
Antonio Ricchi
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Co-conveners:
Matjaz Licer,
Giovanni Liguori,
Colinne PoppeschiECSECS,
Baptiste Mourre