EGU23-10092, updated on 20 Apr 2023
https://doi.org/10.5194/egusphere-egu23-10092
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

An Information Management Framework for Environmental Digital Twins (IMFe)  as a concept and pilot

Justin Buck1, Andrew Kingdon2, John Siddorn4, Gordon Blair3, Alexandra Kokkinaki1, John Blower4, Matt Fry5, Ben Marchant2, Sam Pepler6, John Watkins3, and James Byrne7
Justin Buck et al.
  • 1National Oceanography Centre, British Oceanographic Data Centre, Liverpool, United Kingdom
  • 2British Geological Survey, Keyworth, United Kingdom
  • 3UK Centre for Ecology and Hydrology, Lancaster, United Kingdom
  • 4National Oceanography Centre, Southampton, United Kingdom
  • 5UK Centre for Ecology and Hydrology, Wallingford, United Kingdom
  • 6National Centre for Atmospheric Science, Oxford, United Kingdom
  • 7British Antarctic Survey, Cambridge, United Kingdom

Environmental science is concerned with assessing the impacts of changing environmental conditions upon the state of the natural world. Environmental Digital Twins (EDT) are a new technology that enable environmental change scenarios for real systems to be modelled and their impacts visualised. They will be particularly effective with delivering understanding of these impacts on the natural environment to non-specialist stakeholders.

The UK Natural Environment Research Council (NERC) recently published its first digital strategy, which sets out a vision for digitally enabled environmental science for the next decade. This strategy places data and digital technologies at the heart of UK environmental science.

EDT have been made possible by the emergence of increasingly large, diverse, static data sources, networks of dynamic environmental data from sensor networks and time-variant process modelling. Once combined with visualisation capabilities these provide the basis of the digital twin technologies to enable the environmental scientists community to make a step-change in understanding of the environment. Components may be developed separately by a network but can be combined to improve understanding provided development follows agreed standards to facilitate data exchange and integration.

Replicating the behaviours of environmental systems is inevitably a multi-disciplinary activity. To enable this, an information management framework for Environmental digital twins (IMFe) is needed that establishes the components for effective information management within and across the EDT ecosystem. This must enable secure, resilient interoperability of data, and is a reference point to facilitate data use in line with security, legal, commercial, privacy and other relevant concerns. We present recommendations for developing an IMFe including the application of concepts such as an asset commons and balanced approach to standards to facilitate minimum interoperability requirements between twins while iteratively implementing an IMFe. Achieving this requires components to be developed that follow agreed standards to ensure that information can be trusted by the user, and that they are semantically interoperable so data can be shared. A digital Asset Register will be defined to provide access to and enable linking of such components.

This previously conceptual project has now been enhanced into the Pilot IMFe project aiming to define the architectures, technologies, standards and hardware infrastructure to develop a fully functioned environmental digital twin. During the project lifespan this will be tested with by construction of a pilot EDT for the Haig Fras Marine Conservation Zone (MCZ) that both enables testing of the proposed IMFe concepts and will provide a clear demonstration of the power of EDT to monitor and scenario test a complex environmental system for the benefit of stakeholders. 

How to cite: Buck, J., Kingdon, A., Siddorn, J., Blair, G., Kokkinaki, A., Blower, J., Fry, M., Marchant, B., Pepler, S., Watkins, J., and Byrne, J.: An Information Management Framework for Environmental Digital Twins (IMFe)  as a concept and pilot, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10092, https://doi.org/10.5194/egusphere-egu23-10092, 2023.