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This proposal aims to support assessment of cloud feedbacks and climate sensitivity, as part of the the ongoing H2020 project Next Generation Earth Modelling Systems (NextGEMS). Cloud response to climate change remains a primary uncertainty and challenge in future climate projection. With enhanced spatial resolution in climate simulations, processes related to clouds, precipitation and their interplay with climate can be quantified with unprecedented precision and realism. Recent advancements in performing global coupled kilometer-scale simulations of Earth’s climate have paved the way for the utilisation of supercomputing within innovative computing frameworks. Within these simulations, the finer grid enables explicit representation of crucial climate processes, that currently require parameterization, such as deep convection. This will diminish significant sources of uncertainty in climate change predictions, currently limiting the fidelity of simulated long-term temperature change, and of near-future changes in climate conditions, including distribution and intensity of precipitation . Here the project proposes leveraging the computing power of LUMI-G/LUMI-C for conducting simulations with one of the NextGEMS convection-permitting, or Storm-Resolving Earth-system Models (SR-ESMs), the Icosahedral non-hydrostatic model (ICON), at a resolution of 2.5 km or higher for the atmosphere, to specifically investigate cloud responses to forcing and their feedbacks on the climate system. |
| Stockholm University, Sweden. |