Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …

The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …

There is a scientific consensus on the need for spatially detailed information on urban
landscapes at a global scale. These data can support a range of environmental services …

Climate modelling and analysis are facing new demands to enhance projections and
climate information. Here we argue that now is the time to push the frontiers of machine …

As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

Construction projects and cities account for over 50% of carbon emissions and energy
consumption. Industry 4.0 and digital transformation may increase productivity and reduce …

Could computer simulation models drive our ambitions to sustainability in urban and non-
urban environments? Digital twins, defined here as real-time, virtual replicas of physical and …

Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

This study explores the nexus between digital and green transformations—the so-called
“twin” transition—in European regions in an effort to identify the impact of digital and …

Extreme weather amplified by climate change is causing increasingly devastating impacts
across the globe. The current use of physics-based numerical weather prediction (NWP) …