It is one of the major sources of uncertainty for both weather and climate predictions that important features of the atmosphere, such as deep convection, cannot be resolved explicitly within existing weather and climate models due to the limited grid spacing of these models. Deep convection is seen as crucial in regulating the vertical redistribution of energy, momentum, and heat, and the community of weather and climate modeling is striving for the “quantum leap” of climate science to allow for long-range simulations of the global atmosphere at O(1 km) resolution that represent deep convection explicitly within the simulation.
Until today, the limited performance of supercomputers and the challenge of making efficient use of highly parallel high-performance computing systems did not allow for the use of O(1km) resolution with state-of-the-art global weather and climate models, and hence the explicit representation of convection could only be realised in limited areas, thus lacking the feedback of fundamental energy exchanges onto the larger scales.
This project will deliver this “quantum leap” forward in simulating and understanding the Earth’s weather and climate. The world’s first climate timescale simulation at O(1 km) resolution will explain how resolved deep convection feeds back on global dynamics of the atmosphere on an annual timescale, thus providing a baseline reference and guidance for the worldwide climate modeling community.
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