Satya Nadella highlights research on machine learning for two to six week weather forecasts

What happened

In Nature this week, Satya Nadella says his organization’s new research shows how machine learning can improve weather forecasts two to six weeks out, a timeframe that has historically been very difficult to predict. He highlights the work’s potential to help people better prepare for extreme weather.

Reported by 2 sources

The story so far

Microsoft researchers and collaborators published Probabilistic Bias Correction (PBC), an open-source machine learning tool that improved weather forecasts two to six weeks ahead in testing, though ECMWF cautioned that putting it into operational use remains challenging. The study, published in Nature, found that correcting systematic bias in existing weather models improved ECMWF’s physics-based model accuracy for 98 percent of precipitation targets and 92 percent of temperature targets, and doubled the accuracy of its AI forecasting system. PBC can run on CPUs. Microsoft CEO Satya Nadella highlighted the research’s potential to help people prepare for extreme weather.

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