2023
DOI: 10.1002/qj.4613
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Machine learning based post‐processing of model‐derived near‐surface air temperature – A multimodel approach

Gabriel Stachura,
Zbigniew Ustrnul,
Piotr Sekuła
et al.

Abstract: In this article, a machine‐learning‐based tool for calibrating numerical forecasts of near‐surface air temperature is proposed. The study area covers Poland representing a temperate type of climate with transitional features and highly variable weather. The direct output of numerical weather prediction (NWP) models is often biased and needs to be adjusted to observed values. Forecasters have to reconcile forecasts from several NWP models during their operational work. As the proposed method is based on determi… Show more

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