Earth system science

JSC supports Earth System Model (ESM) development as one key supercomputer application with large societal relevance. ESMs are challenging even the biggest HPC systems (due to their great needs for computational capacity, storage and interconnection bandwidth) and they are challenged by the disruptive changes in HPC architectures, which require novel and complex programming models. ESM activities at JSC seek to bridge between the demands of ESM scientists and the pioneers of novel exascale HPC technology. We are providing high-level support to the scientific community and develop new solutions with scientific and technical insight.

Simulation & Data Laboratory Climate Science (SDLCS)

The SDL Climate Science is tasked with bridging the modelling communities to the HPC infrastructure. Independent research in the fields of remote sensing, and atmospheric transport and chemistry modelling keeps the SDL team members closely connected to the domain sciences and facilitates the transfer of the HPC-related expertise to the ESM communities. The SDL supports ESM users in porting, optimizing, and modularizing their codes to enhance performance on recent (GPU) and upcoming (exascale) HPC-technologies. Establishing efficient workflows and handling large data is inseparably tied to these challenges.

Homepage of SDLCS

Simulation & Data Laboratory Terrestrial Systems (SDLTS)

The SDLTS is concerned with developing and enabling computational models and tools for integrated simulation of mass, momentum and energy transfer processes between land, water and the atmosphere. At the core of SDLTS’s objectives is harnessing and transferring expertise in High-Performance Computing to the ESM community. Additional key aspects include software sustainability, performance-portability, and exascale-readiness. SDLTS also provides support for HPC-enabled computing to modellers in the domains of hydrology, land surface modelling and ecology.

Homepage of SDLTS

Earth System Data Exploration

The research group Earth System Data Exploration (ESDE) develops innovative methods and tools for the integration and analysis of complex, heterogeneous, and big datasets related to air pollution, weather and climate.

Homepage of ESDE

Joint Lab Exascale Earth System Modelling (JL-ExaESM)

The JL-ExaESM addresses code and workflow scalability issues for Earth System Models with the goal to allow climate scientists to make full use of upcoming exascale computing capacity. The JL-ExaESM is a cross-cutting activity of the HGF and builds upon the Pilot Lab ExaESM (PL-ExaESM) during the years 2019-2022.

Homepage of JL-ExaESM