Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.

HS3.4
Opportunities and challenges in using High-Performance Computing for Terrestrial Systems modelling
Convener: Wolfgang Kurtz | Co-conveners: Bibi S. Naz, Jessica Keune, Wendy Sharples, Klaus Goergen

The use of high performance computing (HPC) in Terrestrial Systems research is becoming essential to address outstanding scientific questions, as more complex models demand higher computational resources and produce larger volumes of data. Recent developments in next-generation HPC hardware and software offer great opportunities for concurrent developments in terrestrial modelling, such as large-scale hydrological modelling, convection-permitting atmospheric simulations, multi-physics coupled model systems, data assimilation and uncertainty analysis through ensemble simulations, and data processing and analytics. By unifying these cross-sectional computational topics in one session, we hope to improve our understanding of fundamental challenges and opportunities in using next generation HPC hardware and software. This cross-disciplinary session will discuss the use of the latest developments and future challenges of the rapid pace advancements in HPC technologies in the geosciences and review their scientific outcomes. We invite contributions from all areas of terrestrial research applying HPC. In particular, we welcome (i) scientific applications, such as studies on land-atmosphere feedbacks and water and energy cycles, integrated hydrologic modelling systems, climate change impacts, real-time flood forecasting, uncertainty quantification through data assimilation techniques, agricultural and water resource management (ii) novel approaches in terrestrial systems modeling (iii) contributions discussing methodologies related to use of accelerator architecture, robust and efficient solvers, multiscale discretizations, and the design of benchmark problems, and (iv) presentations of developments of workflows and tools for data processing and analytics.