Microsoft releases open-source tool to improve two-to-six-week weather forecasts

Key points

• Probabilistic Bias Correction (PBC) uses machine learning to find and fix systematic bias in existing forecasting models.
• Microsoft says PBC improved an ECMWF physics-based model for 98 percent of precipitation and 92 percent of temperature targets.
• The tool reportedly runs on CPUs, avoiding the supercomputers or GPUs that physics and generative AI models typically require.
• Findings were published in Nature; the tool is available as open-source software.

Why it matters for marketers: Weather agencies with limited budgets can improve existing models with a lightweight, open-source correction tool instead of building costly new systems.