With the past seven years having been the warmest on record, it’s more important than ever to better predict Earth’s future and develop solutions for mitigation and adaptation.
At NVIDIA GTC, the brightest leaders, researchers and developers in climate science, high performance computing and AI will showcase how their work helps to address changes to our climate.
The virtual conference, taking place March 21-24, also features experts from many other industries being transformed by AI, including healthcare, autonomous driving and graphics.
Nearly 20 GTC sessions will highlight how HPC, AI and digital twins can help Earth — simulating its complex climate, extreme weather conditions and more.
Here’s a sampling of climate science sessions at GTC:
- Prof. Dr. Bjorn Stevens, managing director of the Atmosphere in the Earth Systems department at the Max Planck Institute for Meteorology, will describe the value of digital twins for understanding, predicting and adapting to climate change.
- Dr. Thomas Hauser, director at the National Center for Atmospheric Research, will feature the center’s new Derecho supercomputer, powered by NVIDIA A100 Tensor Core GPUs, for applications in atmospheric modeling and climate science.
- Prof. Dale Durran from the Atmospheric Sciences department at the University of Washington will examine how deep learning can be used to predict accurate sub-seasonal weather forecasts, which have lead times of two to six weeks.
- Dr. John Taylor, program leader at CSIRO, will present a deep learning model that can provide scalable, data-driven global weather and sea surface temperature predictions at high spatial and temporal resolutions.
- Prof. Anima Anandkumar, NVIDIA’s director of machine learning research, and Dr. Karthik Kashinath, NVIDIA’s senior AI developer technologist, will cover how to use deep learning — along with the NVIDIA Modulus AI framework and Omniverse — for extreme weather prediction.