Tailored indicators - Our team co-develops indicators for different sectoral applications, including agriculture, energy and insurance, by integrating the physical processes simulated at high resolution in climate models with modelling aspects relevant for impact sectors with the aim to help these sectors adapt to climate variability and change.

User engagement - We design a user engagement approach that involves empowered users with a high-stake in applying the latest climate information in the showcasing of example applications, hence helping to engage with the broader climate adaptation community which seems to be poorly informed about the climate digital twin and the opportunities it may bring.

Bringing knowledge to society  - We provide a roadmap for operationalising the involvement of different user groups, ensuring that the digital twin responds to current societal challenges. This roadmap addresses aspects related to governance (i.e. development, use and access of the DT), knowledge co-production with stakeholders, early communication and engagement about the DT and its results, as well as plans for its exploitation and legacy.

The climate adaptation digital twin has emerged to operationalise the on-demand production of climate information for adaptation at multi-decadal time scales. Although the digital twin will certainly be a catalyst for unprecedented scientific and technological innovation, considering human aspects is indispensable to achieving societal uptake of the best climate information.

The digital twin for climate change adaptation can help research and society in different ways, including understanding processes and complex interactions of Earth-system phenomena, simulation scenarios to better understand what may happen under different conditions, improve decision-making to effectively and sustainably address climate-related risks, and enhance interdisciplinarity and transdisciplinarity.