If you are a fishing company struggling with unpredictable catch volumes and shifting fish populations — this project developed 40-year marine ecosystem predictions for the entire Atlantic basin. These models show where fish stocks are headed under different climate and fishing pressure scenarios, letting you plan fleet investments, target new fishing grounds, and avoid areas heading toward collapse. The project combined climate, pollution, and fishing pressure data from 14 countries to map cumulative impacts.
40-Year Atlantic Ocean Forecasts to Protect Fisheries and Coastal Businesses
Imagine trying to plan your fishing business or coastal investment, but the Atlantic Ocean keeps changing — fish move, temperatures shift, storms worsen — and nobody can tell you what's coming. TRIATLAS built the first weather-forecast-style prediction system, but for entire ocean ecosystems across the Atlantic, looking 40 years ahead. They combined ocean measurements, climate models, and economic data from 34 institutions across Europe, Africa, and South America to show where fish stocks will move, which coastlines face the most risk, and how pollution and overfishing stack up together. Think of it as a GPS for the future of the Atlantic — helping businesses and governments steer around trouble before it hits.
What needed solving
Businesses operating in or dependent on the Atlantic Ocean — fishing fleets, marine insurers, coastal developers, shipping companies — are making long-term investment decisions blind. Fish stocks shift, ocean conditions change, and pollution impacts accumulate, but there has been no reliable way to predict what the Atlantic marine ecosystem will look like in 10, 20, or 40 years. Without these forecasts, companies either over-invest in declining areas or miss opportunities in emerging ones.
What was built
TRIATLAS produced the first basin-wide 40-year marine ecosystem predictions for the entire Atlantic, combining climate models with ecological and socio-economic models. The project delivered 32 outputs including ecosystem forecasts under different climate scenarios, vulnerability assessments for coastal communities, and mapping of tipping points where ecosystems could suddenly shift.
Who needs this
Who can put this to work
If you are an insurance company trying to price risk for Atlantic shipping routes, coastal assets, or fishing operations — this project mapped tipping points and regime shifts across Atlantic marine ecosystems. Their models identify which regions face the highest probability of sudden ecosystem changes that would trigger claims. With 40 partners across 14 countries contributing data, the predictions cover the full Atlantic from tropical to southern waters.
If you are a coastal developer or port authority planning long-term investments along the Atlantic coast — this project delivered socio-economic vulnerability assessments showing how climate-driven ocean changes will impact coastal economies. Their models assess cumulative impacts from pollution, warming, and ecosystem shifts, helping you identify which locations remain viable for development over the coming decades. The research spans 14 countries across Europe, Africa, and South America.
Quick answers
What would it cost to access TRIATLAS prediction data or models?
TRIATLAS was publicly funded with EUR 11,000,000 under Horizon 2020 as a Research and Innovation Action. Model outputs and datasets are likely available through open-access repositories as required by EU funding rules. Licensing terms for commercial use of specific tools would need to be discussed with the University of Bergen as coordinator.
Can these predictions work at the scale my business needs?
The models cover the entire Atlantic basin — from the tropics to the South Atlantic — which is genuinely basin-wide scale. For localized business decisions (specific fishing zones, individual port locations), you would likely need the research team to run focused regional analyses using their existing models. The 40-year prediction horizon is designed for strategic planning, not day-to-day operations.
Who owns the intellectual property and can I license these models?
As a publicly funded RIA project, most outputs follow EU open-access requirements. The consortium of 40 partners across 14 countries jointly developed the models. For commercial licensing of specific prediction tools or datasets, the coordinator at the University of Bergen would be the first point of contact.
How reliable are 40-year ocean predictions for business planning?
The project combined state-of-the-art climate prediction models with ecosystem models and Shared Socioeconomic Pathways — the same scenario framework used by the IPCC. Multiple scenarios were run to show a range of possible futures rather than a single prediction. This approach is standard for long-range strategic planning in climate-sensitive industries.
Is this still active or has the research team moved on?
TRIATLAS officially closed in November 2023 after running for over four years. The research team of 34 institutions across Europe, Africa, and South America may still be involved in follow-up projects. The project website at triatlas.eu and the coordinator at University of Bergen can confirm current data availability and any successor initiatives.
Can this integrate with our existing marine monitoring systems?
Based on available project data, TRIATLAS used existing and new physical, biological, and societal observations combined with Earth system and ecological models. The 32 deliverables likely include data formats compatible with standard oceanographic systems. Integration specifics would need to be discussed with the research team.
What regions does this actually cover?
The consortium spans 14 countries including Norway, Germany, France, Spain, Ireland, UK, Brazil, South Africa, Senegal, Angola, Benin, Ivory Coast, and Cape Verde. This gives genuine coverage of the Tropical and South Atlantic — areas that were previously major knowledge gaps. The project explicitly aimed to close these gaps to enable understanding of the entire Atlantic basin.
Who built it
This is a heavily research-driven consortium: 20 universities and 16 research organizations dominate, with just 1 industry partner and 2 SMEs (3% industry ratio). The 40-partner, 14-country spread across Europe, Africa (Angola, Benin, Ivory Coast, Senegal, Cape Verde, South Africa), and South America (Brazil) gives genuine geographic coverage of the Atlantic basin. The University of Bergen in Norway leads the coordination. For a business looking to use these results, the low industry involvement means the outputs are academic-grade research tools rather than turnkey commercial products — you would need to work with the research teams to adapt the models for specific business applications.
- UNIVERSITETET I BERGENCoordinator · NO
- HAVFORSKNINGSINSTITUTTETparticipant · NO
- UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCOparticipant · BR
- UNIVERSIDADE FEDERAL DO RIO GRANDE-FURGparticipant · BR
- UNIVERSITY OF GALWAYparticipant · IE
- UNIVERSITE D'ABOMEY-CALAVIparticipant · BJ
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIAparticipant · ES
- LEIBNIZ-ZENTRUM FUR MARINE TROPENFORSCHUNG (ZMT) GMBHparticipant · DE
- INSTITUT SENEGALAIS DE RECHERCHES AGRICOLESparticipant · SN
- ASOCIACION ECOPATH INTERNATIONAL INITIATIVEparticipant · ES
- UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTEparticipant · BR
- UNIVERSITY OF CAPE TOWNparticipant · ZA
- UNIVERSIDADE DE CABO VERDEparticipant · CV
- CHRISTIAN-ALBRECHTS-UNIVERSITAET ZU KIELparticipant · DE
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICASparticipant · ES
- UNIVERSIDADE FEDERAL DE PERNAMBUCOparticipant · BR
- JOHANN HEINRICH VON THUENEN-INSTITUT, BUNDESFORSCHUNGSINSTITUT FUER LAENDLICHE RAEUME, WALD UND FISCHEREIparticipant · DE
- ECOLE NORMALE SUPERIEUREparticipant · FR
- UNIVERSIDAD COMPLUTENSE DE MADRIDparticipant · ES
- CENTRE EUROPEEN DE RECHERCHE ET DEFORMATION AVANCEE EN CALCUL SCIENTIFIQUEparticipant · FR
- UNITED KINGDOM RESEARCH AND INNOVATIONparticipant · UK
- STIFTELSEN NANSEN SENTER FOR MILJOOG FJERNMALINGparticipant · NO
- METEO-FRANCEparticipant · FR
- UNIVERSIDADE TECNICA DO ATLANTICOparticipant · CV
- UNIVERSIDADE FEDERAL DE SANTA CATARINA.participant · BR
- INSTITUTO DO MARparticipant · CV
- HELMHOLTZ-ZENTRUM FUR OZEANFORSCHUNG KIEL (GEOMAR)participant · DE
- INSTITUT DE RECHERCHE POUR LE DEVELOPPEMENTparticipant · FR
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSthirdparty · FR
- UNIVERSITE DE TOULOUSEthirdparty · FR
- NORCE RESEARCH ASparticipant · NO
- UNIVERSIDAD DE VIGOparticipant · ES
- BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACIONparticipant · ES
- SORBONNE UNIVERSITEparticipant · FR
University of Bergen, Norway — marine science and climate research department. Use the CORDIS contact form or find the project coordinator via the TRIATLAS website.
Talk to the team behind this work.
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