IBM, NASA Join Hands On Earth Science AI Research

The large group has successfully produced a collection of coupled Earth system models with high resolution after successfully overcoming numerous physical and engineering challenges.

IBM, NASA Join Hands On Earth Science AI Research

Earth scientists must understand geo-fluid motion physics, advance Earth sciences, supercomputing, and software engineering to create a numerical model that accurately reflects the real Earth system. According to Dr. Lixin Wu, “Understanding the Earth system has advanced significantly with the development of Earth system models that incorporate submesoscale ocean eddies and clouds.”

The large group has successfully produced a collection of coupled Earth system models with high resolution after successfully overcoming numerous physical and engineering challenges.

These models include ocean-ice models with resolutions of 15, 10, 5, and 3 km as well as atmosphere-land models with resolutions of 12, 9, and 5 km. These models “satisfy the requirements of multiscale interaction investigations while accommodating varying computational expenses,” claims Dr. Shaoqing Zhang.

These high-resolution models can reproduce ocean submesoscale vortex filaments and cloud cells to a certain extent (as described below). By looking into cross-scale interactions, they can offer a new perspective on weather-climate mechanisms.

The most remarkable results from these new high-resolution models, according to Drs. Shiming Xu and Yang Gao, are that they can simulate significant weather-climate anomalies in the atmosphere and ocean, highlighting the importance of including clouds and ocean submesoscale eddies in modelling tropical cyclones and eddy-mean flow interactions.

According to Drs. Haohuan Fu and Zhao Liu, if the optimisation of heterogeneous architecture computing is successfully carried out, the novel heterogeneous many-core architecture high-performance supercomputer presents novel prospects for climate modelling.

The world is moving in an environmentally friendly direction, and heterogeneous architecture computing is energy-efficient. The low power consumption of computing with heterogeneous architecture, according to Drs. Fu and Liu, is consistent with a “green” future for our planet.

By modelling ever-more complex biogeochemical processes and carbon cycling, the new high-resolution Earth system models lay the foundation for future initiatives aimed at advancing Earth sciences.

Drs. Yang Gao and Shaoqing Zhang pointed out that “these models paved the way for future developments in modelling that would allow for even higher precision and more realistic physics in the resolution of smaller scales. For instance, based on these results, work is currently being done to create a nonhydrostatic Earth system model that resolves cloud and ocean submesoscale features.”