Technical Framework

OceanPrediction DCC is creating a new technical framework to integrate and improve ocean forecasting systems worldwide, allowing them to deliver as one. This work will be based on innovative architectures that will benefit from the arrival of the Digital Twinning concept and will be developed in close collaboration with related Decade Programmes.

Towards more robust, integrated, and influential services

A new scenario for Ocean forecasting

Forecasting Systems have proven to be highly valuable, as they contribute to our understanding of the Ocean and provide priceless information for decision-making. However, they face numerous challenges, in standardisation, interoperability, and integration. As a result, building a forecasting service from scratch, without experienced guidance, remains a huge challenge. When successful, it often produces an isolated service, with limited possibilities of integration into a larger framework.

This situation limits the forecasting services proliferation - especially in less technologically advanced countries, as well as the growth of our Ocean forecasting community and our common shared knowledge.

The OceanPrediction DCC and its associated Decade programmes are working together to change this scenario. We are doing so by defining common architectures and new Tools, Standards and Best Practices to standardise and improve the way we build the Ocean Forecasting value chain, taking advantage of the concept of digital twinning.

The ocean forecasting value chain

Multiplying the benefit by working together

Advancing towards delivering as one

OceanPrediction DCC has gathered a Team, the so-called Ocean Forecasting Co-design Team to design and promote an Ocean forecasting architecture to deliver as one, taking benefit from the digital twinning concept, which will permit a simpler, modular, and more robust development of the systems in the future.

This team is formed by worldwide specialists whose collective expertise covers the whole value chain.

The Ocean Forecasting Co-Design Team

Integrating the contributions

Compilation Team

Enrique Alvarez Fanjul

Role in OFCT | Mercator Ocean International

Stefania Ciliberti

Senior Scientist | Nologin Oceanic Weather Systems

Jay Pearlman

Professor at the University of Colorado

Kirsten Wilmer-Becker

GODAE OceanView Programme Office coordinator | Met Office

Designing the future of Ocean Forecasting

Ocean Forecasting Co-Design Team experts & Regional experts

Fabrice Ardhuin

Research scientist | Lab. of Ocean Physics and satellite remote Sensing (LOPS)

Alain Arnaud

Head of Digital Ocean Department | Mercator Ocean International

Mike Bell

Head Ocean Forecasting R&D | Met Office

Segolene Berthou

Met Office

Laurent Bertino

Researcher Director | Nansen Environmental and Remote Sensing Center

Eric Chassignet

Director | Center for Ocean-Atmospheric Prediction Studies

Mauro Cirano

Associate Professor | Federal University of Rio de Janeiro

Emanuela Clementi

Scientist | CMCC The Foundation Euro-Mediterranean Centre on Climate Change

Loreta Cornacchia

Researcher | Deltares

Stuart Corney

Senior Lecturer / Associate Head of Learning and Teaching | Institute for Marine and Antarctic Studies at University of Tasmania

Gianpiero Cossarini

Researcher | National Institute of Oceanography and Applied Geophysics - OGS

Fraser Davidson

Research Scientist | Fisheries and Oceans Canada

Erik van Doorn

Research Associate | Walther Schücking Institute for International Law

Yann Drillet

Head of Operational Oceanography Department | Mercator Ocean International

Katja Fennel

Professor, Department Head, Department of Oceanography | Dalhousie University

Marcos Garcia Sotillo

Technical Director | NOW (Nologin Ocean Weather systems), Nologin

Patrick Heimbach

Professor | The University of Texas at Austin

Fabrice Hernandez | Mercator Ocean International

Senior scientist

Patrick Hogan

Oceanographer | NOAA

Ibrahim Hoteit

Professor of Earth Sciences and Engineering, Professor of Applied Mathematics and Computer Science | King Abdullah University of Science and Technology