Towards a digital twin of the Earth System
Recent projects have demonstrated that global, coupled storm-resolving (or km-scale) simulations are feasible and can contribute to building such information systems and are no longer a dream thanks to recent advances in Earth system modelling, supercomputing and the adaptation of weather and climate codes for novel computing architectures. Such simulations for example explicitly represent essential climate processes, such as deep convection and mesoscale ocean eddies, that today need to be parametrised even at the highest resolution used in global weather and climate information production. These simulations, combined with novel data-driven deep learning advances, thus offer a window into the future, with a promise to significantly increase the realism of Earth system information. Despite the significant compute and data challenges, there is a real prospect to better support global to local climate change mitigation and adaptation efforts, and complement the existing information derived with today’s operational simulations in the range of 10-100 km.