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ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
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interTwin D4.1 First Architecture design of the DTs capabilities for climate change and impact decision support tools

Authors: Muhammad Usman Liaqat; Mariapina Castelli; Donatello Elia; Gabriele Accarino; Davide Donno; Sandro Fiore; Bjorn Backeberg; +6 Authors

interTwin D4.1 First Architecture design of the DTs capabilities for climate change and impact decision support tools

Abstract

This deliverable describes the capabilities that the architecture design of a Digital Twin Engine (DTE) has to provide in order to be able to support the climate change use cases and the implementation of the related impact decision support tools. It details the functional specifications and requirements analysis for these use cases. Finally, it provides insights into the architecture design decisions made when developing the blueprint architecture of the DTE to specifically address the needs of the climate change use cases.

Related Organizations
Keywords

support tools, climate change, Digital Twin Engine, impact decision, Architecture, design, capabilities, FOS: Civil engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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17
16
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EGI : advanced computing for research