Modelling the Marine Environment

We are internationally renowned for our expertise in modelling the marine environment and we host one of the largest and most experienced marine ecosystem modelling groups in the world. Our models enable us to gain a greater understanding of the dynamics and potential change of marine processes and systems, and we continually refine and build new models to address the emerging challenges facing the global ocean and society that depends upon it.

There are increasing calls from policy makers and ocean users to make projections of how the ocean may change and in turn affect the resources the ocean provides. Combining ecological, physical and chemical understanding into dynamic models of the ocean provides us with tools with which we can assess the vulnerabilities and opportunities of marine systems and promote good management.

We work with colleagues internally, nationally and across the globe applying models to a wide range of pressing questions, developing new methods to safeguard the sustainability of the ocean and increasing our understanding of how it works.

Making a difference

Our models are used to understand the implications and risks of global change and human activity and produce decision support tools that can be used by policy makers and regulators to inform choices over the optimum use of natural resources and the marine environment.

Further information

For more information about the Marine System Modelling Group at PML, visit our dedicated sub-site here.

Projects

EASOS: Marine Pollution

Earth and Sea Observation System (EASOS): Marine pollution

Contact: Dr Rory Donnelly

The Earth and Sea Observation System (EASOS) is a platform designed to provide high value decision support to tackle country-specific environmental...

Research into impacts and safety in CO2 storage (RISCS)
Completed

Research into impacts and safety in CO2 storage (RISCS)

Contact: Jerry Blackford

RISCS was a European project that aimed to improve our understanding of the possible environmental impacts of geological storage of CO2. The...

TAPAS

Tools for Assessment and Planning of Aquaculture Sustainability (TAPAS)

Contact: Stefan Simis

The Tools for Assessment and Planning of Aquaculture Sustainability (TAPAS) project is working to create cost-efficient management tools and...

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News

New modelling tool to enhance global understanding

Open access model allows scientists to predict climate and other anthropogenically influenced environmental changes.

News

Making modelling count

A new study with PML authors supported through the Marine Ecosystems Research Programme was published in Marine Policy this week, highlighting the value of increasing the contribution of shelf-seas community and ecosystem models to policy development and management. 

News

The fate of Mermaid's Tears

PML and the Korea Institute of Ocean Science and Technology (KIOST) join forces on new ocean investigations.

Related publications

  1. Troselj, J; Sayama, T; Varlamov, SM; Sasaki, T; Racault, M-FLP; Takara, K; Miyazawa, Y; Kuroki, R; Yamagata, T; Yamashiki, Y. 2017 Modeling of extreme freshwater outflow from the north-eastern Japanese river basins to western Pacific Ocean. Journal of Hydrology, 555. 956-970. 10.1016/j.jhydrol.2017.10.042
    View publication

  2. Fernandez, M; Yesson, C; Gannier, A; Miller, PI; Azevedo, J. 2017 The importance of temporal resolution for niche modelling in dynamic marine environments. Journal of Biogeography, 44 (12). 2816-2827. 10.1111/jbi.13080
    View publication

  3. Everett, A; Murray, T; Selmes, N; Rutt, IC; Luckman, A; James, TD; Clason, C; O'Leary, M; Karunarathna, H; Moloney, V; Reeve, DE. 2016 Annual down-glacier drainage of lakes and water-filled crevasses at Helheim Glacier, southeast Greenland. Journal of Geophysical Research: Earth Surface, 121 (10). 1819-1833. 10.1002/2016JF003831
    View publication

  4. Vasilakopoulos, P; Raitsos, DE ; Tzanatos, E; Maravelias, CD. 2017 Resilience and regime shifts in a marine biodiversity hotspot. Scientific Reports, 7 (13647). 10.1038/s41598-017-13852-9
    View publication

  5. Beecham, J; Bruggeman, J; Aldridge, J; Mackinson, S. 2016 Couplerlib: a metadata-driven library for the integration of multiple models of higher and lower trophic level marine systems with inexact functional group matching. Geoscientific Model Development, 9 (3). 947-964. 10.5194/gmd-9-947-2016
    View publication

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