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The ARTIST project aims to enhance seasonal climate forecasts by integrating advanced statistical methods and machine learning techniques. It focuses on improving predictions of temperature extremes in Europe, addressing uncertainties in mid-latitude forecasting to better support decision-making in various socio-econom…
Seasonal Forecasts are critical tools for early-warning decision support systems, that can help reduce the related risk associated with hot or cold weather and other events that can strongly affect a multitude of socio-economic sectors.
Recent advances in both statistical approaches and numerical modeling have improved the skill of Seasonal Forecasts.
However, especially in mid-latitudes, they are still affected by large uncertainties that make their application often complicated.The ARTIST proj…
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