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Milestones

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  • D1.7 - Development and testing for international application

    Modifications needed for international application will be made, for example through the connection to international data systems including for elevation data, weather models, and drainage networks.

    Due by September 30, 2027
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  • D1.6 - Deployment and testing on cloud computing service

    The digital twin system will be deployed and tested using cloud computing based on AWS elastic compute infrastructure, enabling it to scale according to demand. For this, we will develop a control system that will provide access to the compute nodes via the backend server.

    Due by September 30, 2026
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  • D1.5 - User interface/ front end system development and testing

    We will create a user interface to enable and control access to the system. We will incorporate learnings of our existing web interface, created in conjunction with our iwi partners, Te Manatōpū Haukāinga o Ōhinemutu (Rotorua). This will enable communities to maintain control over the scenarios they create, including how widely they are shared.

    Due by June 30, 2027
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  • D1.4 - Visualisation engine development and testing

    The visualisation engine will enable multiple modes of representation to enable users to understand their risks, including 3D geospatial web mapping and immersive VR. The system will enable users to switch between modes as needed and provide the means to compare scenarios, including results of the impact analysis.

    Due by March 31, 2027
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  • D1.3 - Scenarios analytics engine development and testing

    The scenario analytics engine will generate the inputs required by the hydrological model, obtaining the necessary data and processing from the backend system. It will be controlled via an API from the user interface. In addition, we will utilise a novel hybrid approach of AI and physics- based modelling to optimise the generation of scenarios and estimate the uncertainty associated with them. Once publicly released, baseline maps from Mā te Haumaru ō Te Wai will be included as a reference. Methods created under 2.3 to provide the state of the Takiwā impact metrics, will be included as part of scenario outputs

    Due by March 31, 2027
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  • D1.2 - Hydrological modelling engine development and testing

    The open source WRF-Hydro model will be automated within the digital twin system to create a hydrological modelling engine; this will connect to the backend data ingestion and management system to pull in the required data for creating the model base representation, and the scenario analytics engine for controlling how simulations are run. For scenarios along lower reaches, flood flows produced by the WRF-Hydro will be used as the boundary conditions for the BG-Flood hydraulic model (which is already part of the digital twin).

    Due by September 30, 2026
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  • D1.1 - Development of flood resilience digital twin, based on existing prototype

    Our existing prototype will be further developed and refined; it will be modified to include additional data sources required for scenarios analytics (e.g., land use), catchment data, and weather model data available through the New Zealand Modelling Consortium; additional data processing capability will be added to support the hydrological modelling engine development.

    Overdue by 1 year(s)
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    Due by July 31, 2025
    •0/1 issues closed
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