ObsSea4Clim Training #5 Regionalisation of ocean climate indicators

ABOUT THE TRAINING

Duration: 60 minutes

Contents:

This session will introduce the concept of ocean indicators, discuss their relevance and usefulness, and the role they play in the policy nexus. In the context of ObsSea4Clim, we focus particularly on the physical ocean indicators for climate.

The training will address the following questions:

• Why is the regionalisation of ocean indicators needed and what approaches can be adopted?
• How to test multi-product skills, uncertainties and method sensitivity to enable regionalization of ocean indicators?

The training will also provide some examples of regionalisation of ocean climate indicators across Europe and the variability observed.

Recording available: https://youtu.be/BKnRnQlBENQ

Your trainers

Samantha Hallam completed her PhD in Ocean Climate Science at the National Oceanography Centre, University of Southampton. Her research topic was air-sea interactions and the influence of Atlantic Ocean variability on tropical cyclones and the northern hemisphere jet stream. In February 2021, Samantha joined the Irish Climate Analysis Research Units at Maynooth University and has worked on the ROADMAP and TOPIM projects prior to joining ObsSea4Clim.

The Irish Climate Analysis and Research UnitS (ICARUS) as part of the Department of Geography at Maynooth University is a national leader in the area of climate change providing integrated climate system research, solutions, data and advice to the scientific community, policy makers and for the benefit of society both nationally and internationally.

Research undertaken at ICARUS aims to advance fundamental understanding of past, present and future climate variability and change, and to provide cutting edge analysis of future impacts, vulnerabilities and adaptation in line with strategic national and international priorities.

Aurélien Liné is an ocean and climate scientist, working at Mercator Ocean international. He completed his PhD, focusing on the modulation of near-term climate change by internal variability, at Cerfacs and Toulouse INP, where he has been teaching environmental sciences before joining the ObsSea4Clim project in April 2025. Currently, he is working on climate variability in the North Atlantic Ocean and adjacent seas, focussing on ocean heat content and marine heat waves. Additionally, he is exploring opportunities for enhancing the transfer of knowledge at the science and policy interface, through improved ocean indicators and their regionalisation.

Mercator Ocean international (MOi) is a world leading organization in digital oceanography and ocean prediction entrusted by the European Commission since 2014 to operate the Copernicus Marine Service, offering free, trusted ocean data and forecasts covering the global ocean. Its scientific experts design, develop, and maintain state-of-the-art numerical modelling systems that deliver comprehensive 4D representations of the ocean (reanalyses, hindcasts, near-real-time analyses, and forecasts), describing its physical and biogeochemical states.

Subscribe to the upcoming training sessions:

https://www.eventbrite.com/cc/training-series-offered-by-obssea4clim-4807249?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=odclsxcollection&utm-source=cp&aff=odclsxcollection 

Reading Resources / References to the presentation:

von Schuckmann, K. et al., 2025: Global ocean indicators: Marking pathways at the science-policy nexus. Marine Policy, Vol. 184, 106922. DOI: https://doi.org/10.1016/j.marpol.2025.106922

Hallam et al., 2025: Leveraging the need for indicators: An Outline Report (D3.4). Zenodo: https://zenodo.org/records/17910241 

von Schuckmann, K., Gues, F., Moreira, L., Liné, A., and de Pascual Collar, Á., 2025: Global ocean change in the era of the triple planetary crisis, in: 9th edition of the Copernicus Ocean State Report (OSR9), Copernicus Publications, State Planet, 6-osr9, 2, DOI: https://doi.org/10.5194/sp-6-osr9-2-2025

TOPIM model: https://www.topim.org/