NETCDF
NETCDF
Ensemble precipitation forecasts made with Quantile Regression Forests and deterministic Harmonie-Arome inputs
KN
Koninklijk Nederlands Meteorologisch Instituut (KNMI)via Nationaal Georegister · updated 15 April 2025
What's in it
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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