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• ↓ From the Tibetan Plateau to California: Supercomputing reveals a hidden source of flood predictability
• ↓ Fugaku goes inside the molecular machine: Supercomputer simulations reveal how kinesin knows which way to step
• ↓ 10,000 AI agents, 130 billion tokens and 88 hours: How OpenAI turned Navier–Stokes into a supercomputing workload
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"What if a supercomputer trying to understand California’s winter precipitation was looking in the wrong place?"

"That is the intriguing possibility raised by new research published in Science Advances. A team led by Yongkang Xue at the University of California, Los Angeles, used numerical weather and climate simulations to investigate two extraordinary California precipitation seasons, winter 2016–2017 and winter 2022–2023, and found that a seemingly remote piece of the atmosphere-land system may have played an important role: unusually strong early-winter heating over the Tibetan Plateau."

"The computational experiment is particularly interesting from a high-performance computing perspective because the researchers did not simply ask a climate model to reproduce what happened. They used controlled ensemble simulations to ask a much harder question:"

"What happens to California’s precipitation when the model’s representation of Tibetan Plateau land-surface temperature is changed?"

Key Topics & Focus Areas for supercomputingonline.com:

From the Tibetan Plateau to California: Supercomputing reveals a hidden source of flood predictability

Fugaku goes inside the molecular machine: Supercomputer simulations reveal how kinesin knows which way to step

10,000 AI agents, 130 billion tokens and 88 hours: How OpenAI turned Navier–Stokes into a supercomputing workload