Berichten over uw Buurt

Zoals vergunningen, bouwplannen en lokale regelgeving

Dienstverlening

Zoals belastingen, uitkeringen en subsidies.

Beleid & regelgeving

Officiële publicaties van de overheid.

Contactgegevens overheden

Adressen en contactpersonen van overheidsorganisaties.

Back to all datasets

Dataset

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

Permanent linkCopied
State Available
Data owner Koninklijk Nederlands Meteorologisch Instituut (Rijk)
Updated 04/14/2025 - 00:00
License CC-BY (4.0)
Thema
  • Air
Publicity level Public
Metadata Download (XML/RDF)

Not the dataset that you are looking for?

You can do a datarequest to request a specific dataset.

Make a data request

Description

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 precipitation, and indices of atmospheric instability. Spatial and temporal dependencies are restored using the minimum divergence Schaake Shuffle (SSh). Hourly forecasts are issued 8 times per day (00, 03, 06, 09, 12, 15, 18 and 21 UTC) for 60-hours into the future.

machine-learning precipitation quantile-regression-forests weather-forecast

Owner

Owner information

Data owner:
Koninklijk Nederlands Meteorologisch Instituut (Rijk)

Contact point

Department:
Koninklijk Nederlands Meteorologisch Instituut (KNMI)
Email address:
opendata@knmi.nl

Publication & catalogues

Data publisher:
Koninklijk Nederlands Meteorologisch Instituut (Rijk)

Reuse

Access rights:
Public
Status dataset:
Available

Licence & conditions

License:
CC-BY (4.0)

Location and time

Temporal coverage

Start coverage period:
04/15/2025 - 00:00
End coverage period:
12/31/9999 - 00:00

Relations

Comparable datasets

  1. Ensemble precipitation forecasts made with Quantile Regression Forests and deterministic Harmonie-Arome inputs
  2. Seamless precipitation forecast - 5 minute ensemble members over The Netherlands up to 6 hours ahead
  3. Precipitation - radar/gauge 5-minute ensemble nowcast of precipitation over the Netherlands
  4. WAQUA surge timeseries obtained with forcings from KNMI-RACMO-ECEARTH ensemble
  5. Municipal waste; quantities
  6. Municipal waste; quantities, 1993-2015
  7. Copernicus High Resolution Layer Forest: Dominant Leaf Type 2012 - DLT 2012 020m, version 2
  8. Copernicus High Resolution Layer Forest: Dominant Leaf Type 2015 - DLT 2015 020m, version 2
  9. Copernicus High Resolution Layer Forest: Tree Cover Density 2012 - TCD 2012 020m, version 2
  10. Copernicus High Resolution Layer Forest: Tree Cover Density 2015 - TCD 2015 020m, version 2

Metadata

Language settings

Data language

  • English

Metadata language

  • English

Identifiers

Primary identifier

Not the dataset that you are looking for?

You can do a datarequest to request a specific dataset.

Make a data request

Documentation

KNMI Data Platform

HTML CC-BY (4.0)
Download: https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=QRF-RT-SSh&x-dataset-version=v2025

landingpage