Additional reporting noted the tool improved an ECMWF system on 98% of precipitation targets in Microsoft's tests.
Microsoft AI Bias-Correction Tool Extends Weather Forecast Reliability Past Two Weeks
Weather forecasts become unreliable beyond two weeks, creating a gap for farmers and others who need longer-range predictions. A method that addresses this through bias correction in existing models could have practical value in those sectors.
The full picture
Microsoft Research developed a Probabilistic Bias Correction technique that corrects systematic errors in existing weather forecast models, improving forecast accuracy beyond the two-week reliability barrier. In tests, the tool improved a European Centre for Medium-Range Weather Forecasts system on 98% of precipitation targets. The method won top honors in a global forecasting competition and is described as showing promise for real-world deployment in sectors such as agriculture that depend on longer-range predictions.
How it developed
Microsoft Research announced Probabilistic Bias Correction method for extended weather forecasting, citing global competition win and agricultural applications.
Sources
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