| Autor: |
Siddorn, John, Blair, Gordon Shaw, Boot, David, Buck, Justin James Henry, Kingdon, Andrew, Kloker, Alice, Kokkinaki, Alexandra, Moncoiffé, Gwenaëlle, Blyth, Eleanor, Fry, Matt, Heaven, Rachel, Lewis, Edward, Marchant, Benjamin, Napier, Bruce, Pascoe, Charlotte, Passmore, James, Pepler, Sam, Townsend, Poppy, Watkins, John |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.7004351 |
| Popis: |
Environmental science is primarily concernedwith assessing the impacts of changingenvironmental conditions on the state of thenatural world, whether affected by naturalvariability or by the impact of human activity. TheNatural Environment Research Council (NERC)has recently published its digital strategythe first of its kind for NERC, which sets outa vision for digitally enabled environmentalscience for the next decade. This is echoedin the Met Office’s Research and InnovationStrategy that includes the vision of transformingthe weather and climate research and servicesthrough deploying transformative technologiessuch as Digital Twins. This strategy placesdata and digital technologies at the heart ofUK environmental science. One such set oftechnologies are digital twins. A digital twin is a virtual representation ofan object or system (for example the naturalenvironment) updated as the system changesusing observations. Observations may comefrom a range of sources, some traditionally usedin the environmental science community suchas satellite remote sensing or sensors on shipsor weather stations, or through the emergenceof sensors on everything from fridges to cars tolarge-scale built infrastructure. A digital twin thenuses simulations or data-based methods suchas machine learning to generate a replica (‘twin’)of the system that can be used to understandthe system itself. Environmental digital twinstherefore have the potential to significantlyimprove our understanding of the naturalenvironment. The emergence of increasingly large, diverse,observed data sources and the developmentof digital twin technologies combined providesan opportunity for the environmental sciencecommunity to make a step-change in ourunderstanding of the environment. But torealise the value of environmental digital twinsthey need to be developed following agreedstandards to make sure the information can betrusted by the user, and so that data from twinscan be shared, both between environmentaldigital twins and with other types of digitalinfrastructure. To enable this, an information managementframework (IMF) is needed that establishesthe components for effective informationmanagement within and across the digital twinecosystem. It must enable secure, resilientinteroperability of data, and is a referencepoint to facilitate data use in line with security,legal, commercial, privacy and other relevantconcerns. Previous work has highlighted theimportance of developing an IMF, including theCentre for Digital Built Britain (CDBB) roadmap toan IMF (CDBB, 2020). This roadmap follows the CDBB approaches anddevelops it further to outline the steps neededto develop an IMF that meets the demandingrequirements of the environmental domain (anIMFe) whilst also ensuring interoperability withother digital twins. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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