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Ensemble precipitation forecasts made with Quantile Regression Forests and deterministic Harmonie-Arome inputs

Koninklijk Nederlands Meteorologisch Instituut (KNMI)via Nationaal Georegister · bijgewerkt 15 april 2025
Open bij nationaalgeoregister.nl

Wat erin zit

A gridded 51-member ensemble of precipitation forecasts that are created using a tree-based machine learning method, quantile regression forests (QRF), and inputs from the deterministic Harmonie-Arome (HA) Cy43 forecasts. The target data set is rain-gauge-adjusted radar data that is upscaled by taking 3x3 km means and then a rolling maximum is taken in a 9 x 9 km box. Inputs to the machine learning model include HA …

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