DITTO supports the development of Digital Twins of the Ocean (DTOs) as realistic digital representations of assets, processes or systems in the build or natural environment. This is accomplished by establishing and advancing a digital framework for ocean data and knowledge, models and simulations along with high-performance computing capacities, artificial intelligence, and machine learning. Specialized tools and best practices will create a new globally shared capacity to access, manipulate, analyze, visualize and effectively use marine information.
DITTO enables communities to create their own DTOs to explore "What-if" scenarios in support of a wide range of use, addressing issues such as development of a sustainable blue economy and effective maritime spatial planning.
VISION
The Vision of the DITTO Programme is a world where Digital Twins of the Ocean are used to support ocean protection, ocean governance and a sustainable blue economy.
MISSION
The Mission of DITTO is to develop and share a common understanding of Digital Twins of the Ocean (DTOs); to establish best practices, and advance a digital framework for DTOs to empower ocean professionals from all sectors around the world to effectively create their own digital twins.
AMBITION
Digital Twins of the Ocean (DTOs) enable users to address "What if" scenarios based on shared data, models and knowledge. DTOs empower ocean professionals, citizen scientists, policymakers, and local communities to visualise and explore ocean knowledge, data, models and forecasts. The use of Digital Twins of the Ocean is rapidly evolving, spanning a wide range of use cases from engineering to policy, from science to operational services. DITTO promotes co-design of twins, their application, and capacity building.
DITTO White Paper
The DITTO Whitepaper defines the concept of digital twins of the ocean, lays out the challenges, opportunities for actions and suggestions for their implementation. Moreover, it introduces the five working groups of DITTO, each focusing on one key element in the development of digital twins of the ocean:
WG 1: Supportive Ocean Observations & Data Networks
WG 2: Integrative Digital Twins Models
WG 3: Interoperability Nexus and Architecture for Ocean Digital
WG 4: Community Engagements
WG 5: Capacity Development for the Digital Ocean
DITTO Steering Committee (2024-2027)
Leading Co-Chairs
- Joanna Staneva (Helmholtz Zentrum HEREON, Germany)
- Fei Chai (Xiamen University, China)
- Marina Tonani (Mercator Ocean International, France)
- Swadhin Behera (JAMSTEC, Japan)
- Anna Hermsen (Netherlands)
- Alain Arnaud (Mercator Ocean International, France)
- Avichal Mehra (NOAA/NWS/NCEP/EMC, USA)
- Deanesh Ramsewak (Centre for Maritime and Ocean Studies (CMOS) at UTT, Trinidad and Tobago)
- Di Wan (Fisheries and Oceans Canada / Pêches et Océans Canada, Victoria, Canada)
- Giovanni Coppini (Euro-Mediterranean Centre on Climate Change (CMCC) Foundation, Italy)
- Irikomuni Zauisomue (University of Namibia, Namibia)
- Joaquín Tintoré (SOCIB and IMEDEA (CSIC-UIB), Spain)
- Jon Blower (National Oceanography Centre, UK)
- Matthew Palmer (Plymouth Marine Laboratory, UK)
- Patrick Heimbach (University of Texas at Austin, USA)
- Sung Yong Kim (Korea)
- Urmas Lips (Tallinn University of Technology, Estonia)
The DITTO steering committee is a group of individuals from different scientific backgrounds and countries, who are deeply engaged in issues related to digital twins. The selected steering group elected two leading co-chairs and two additional co-chairs from within the SC to lead the work of the committee.
The ECOPs community will select 2-3 further members of the ECOPs community to the complete DITTO SC.
You can reach out to the DITTO Steering Committee via the following email: ditto.oceandecade@gmail.com .
"Digital Twins of the Ocean will bring together ocean data, models and digital information with those who are planning and regulating human ocean interactions. They will become an indispensable element of sustainable development of the ocean space"
Martin Visbeck
Oceanographer at GEOMAR