MOIRAI endeavors to weave a comprehensive understanding of the ocean’s dynamics and biogeochemical cycles through advanced models, integrating historical data, current observations, and future projections, as well as socio-economic dimensions. Integrated into the frameworks of Destination Earth (DE) and the European Digital Twin of the Ocean (DTO), key components of the broader digital and green transitions, MOIRAI adopts an interdisciplinary and holistic approach to significantly advance our comprehension and mitigation of climate-related challenges. MOIRAI is set to advance the next generation of regional-to-coastal ocean and biogeochemical climate models in European seas, aiming to bridge the gaps between operational and regional ocean climate models. A key objective of MOIRAI is the integration of socio-economic variables into these models, ensuring that human dimensions are excplicitly represented in the modelling efforts and responses. Benchmarked with improved climate modelling and prediction capacities in the estuarial-coastal-open sea continuum, the developed models will contribute to the European Green Deal, addressing resilience to climate change (both mitigation and adaptation) in coastal areas. The quality of its coastal models forms the backbone of MOIRAI’s commitment to delivering reliable outcomes for end-users. At its core, MOIRAI, in conjunction with the establishment of REASSHORE (REsilience and Adaptation Strategies Selection Hub for Ocean Risks assessment and End-users feedback), aims to create replicable scientific frameworks and pave the way for basin-scale services, fostering collaborative initiatives across European regional seas. Designed to be modular and interoperable, REASSHORE will seamlessly integrate with existing and future digital infrastructures for ocean climate and risk services.

CMCC role
As the lead of Work Package 6 on Decision Support Tools, CMCC will participate in overseeing the development of actionable tools for end-users and decision-makers, leveraging ocean state data and holistic indicators. A key output of WP6 is the REASSHORE hub, a platform that will integrate various submodules: an S2P (Science-to-Policy) Dashboard, an AI-based early warning system, and three visualization components. REASSHORE will be iteratively improved with end-users’ feedback and made interoperable with existing workflows.

Beyond the coordination of WP6, CMCC will also contribute to other WP:
– In WP3, CMCC  will produce a literature review on the socio- economic and climatic indicators that will provide insight into the gap of information on resilience and risk exposure. This work will be coupled with data collection efforts on social, economic, financial, and demographic dimensions.
– In WP4, CMCC will contribute to the design and execution of a survey on risks and vulnerabilities perception that will be performed to capture the expectations from practitioners and others, supporting the definitions of indicators later on. It will ensure that the framework captures the multi-dimensional nature of coastal vulnerability.
– As part of WP8, CMCC will organise a workshop with relevant decision-makers to present and provide them with training on the S2P interface of REASSHORE once it is operational.

All these activities will be conducted in collaboration with CMCC’s Strategic Programme Global Coasts as a New Frontier.

Overall, CMCC’s objectives in this project include:
– Enhancing Knowledge transfer of the project outcomes
– Identifying synthetic indicators;
– Gaining a better understanding of stakeholder needs
– Expanding collaboration with policymakers
– Publishing at least two scientific papers
– Developing new research lines and socio-economic data forecast capabilities
– Generating data for the FERS School and future projects concerning local resilience

Activities
MOIRAI project is structured into 8 Work Packages (WP):
– Project Management
– Refined Climate and Ocean Physics Models for Regional Seas
– Improved Regional BGC and Ecosystem Models for Coastal Services
– Multi-scale Coastal Models for Impact and Risk Assessment
– Model Uncertainty Quantification and HPC Optimization
– Decision Support Tools
– Demonstration, Validation and Feedback
– Communication, Dissemination, Synergies and Policy Recommendation

Expected results
MOIRAI will develop next-generation ocean climate models to improve seasonal-to-decadal predictions, addressing current limitations in Copernicus and regional systems. By enhancing three regional biogeochemical models with new coupling methods and parametrizations, the project will introduce multiscale approaches that integrate ecological, socio-economic, and climatic indicators to support sustainable coastal management.

These models will be applied to assess climate risks and impacts on key blue economy sectors, while validation efforts focus on scientific accuracy, high-performance computing efficiency, and uncertainty quantification. Outputs will feed into REASSHORE, a modular decision-support hub featuring a Science-to-Policy Dashboard, AI-based early warning, and interactive visualizations—co-designed with users and fully interoperable with Destination Earth and the Digital Twin of the Ocean.

Partners
• DANMARKS METEOROLOGISKE INSTITUT (DMI) (Denmark)
• BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION (BSC CNS) (Spain)
• AGENZIA NAZIONALE PER LE NUOVE TECNOLOGIE, L’ENERGIA E LO SVILUPPO ECONOMICO SOSTENIBILE (ENEA) (Italy)
• ALFRED-WEGENER-INSTITUT HELMHOLTZ-ZENTRUM FUR POLAR- UND MEERESFORSCHUNG (AWI) (Germany)
• AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS (CSIC) (Spain)
• AARHUS UNIVERSITET (AU) (Denmark)
• ETHNIKO ASTEROSKOPEIO ATHINON (NOA) (Greece)
• HELLENIC CENTRE FOR MARINE RESEARCH (HCMR) (Greece)
• ECOPATH INTERNATIONAL INITIATIVE ASOCIACION (EII) (Spain)
• TSAKALIS KAI SIA OE (INFERSENCE) (Greece)
• UNIVERSIDAD DE SANTIAGO DE COMPOSTELA (USC) (Spain)
• FUNDACAO EUROCEAN (EUROCEAN) (Portugal)
• KERTEMINDE SEAFARM APS (KERT) (Denmark)