Ensemble precipitation forecasts made with Quantile Regression Forests and deterministic Harmonie-Arome inputs
A gridded 50-member ensemble of precipitation forecasts that are created using a tree-based machine learning method, quantile regression forests, and inputs from the deterministic Harmonie-Arome (HA) forecasts. The target data set is rain-gauge-adjusted radar data that is upscaled by taking 3x3 km means and then a maximum is taken in a 7.5 x 7.5 km box. Inputs to the machine learning model include HA precipitation, and indices of atmospheric instability. Spatial and temporal dependencies are restored using the Schaake Shuffle. Forecasts are available during the extended summer period (mid-April to mid-October). Hourly forecasts are issued 4 times per day (00, 06, 12 en 18 UTC) for 48-hours into the future.
Simple
- Date (Publication)
- 2022-04-15
- Edition
-
1
- Citation identifier
- urn:xkdc:ds:nl.knmi::QRF-RT-SSh/v2021/
- Purpose
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Calibrated and skilful gridded ensemble forecasts of summer precipitation in the Netherlands
- Status
- On going
- Point of contact
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Organisation name Individual name Electronic mail address Role Koninklijk Nederlands Meteorologisch Instituut (KNMI)
Point of contact
- Maintenance and update frequency
- Daily
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DG Discovery Properties Vocabulary 1.0
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Weather forecast
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Precipitation
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Machine learning
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Quantile regression forests
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- Use limitation
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pre-operational, so no guaranteed delivery yet
- Access constraints
- Other restrictions
- Other constraints
- Classification
- Unclassified
- Spatial representation type
- Grid
- Language
- English
- Character set
- UTF8
- Topic category
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- Climatology, meteorology, atmosphere
))
- Begin date
- 2022-04-15
- End date
- 9999-12-31
- Reference system identifier
- http://www.opengis.net/def/crs/EPSG/0/4326
- Distribution format
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Name Version NetCDF
4
- Distributor contact
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Organisation name Individual name Electronic mail address Role Koninklijk Nederlands Meteorologisch Instituut (KNMI)
Point of contact
- OnLine resource
-
Protocol Linkage Name landingpage
https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=QRF-RT-SSh&x-dataset-version=v2021 KNMI Data Platform
- Hierarchy level
- Dataset
- Statement
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Bi-linear interpolation from lambert to regular lat-lon
Metadata
- File identifier
- 5f5329b2-ba5f-11ec-9e63-03e9cd57eaeb XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2025-03-03T13:57:26.958Z
- Metadata standard name
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ISO 19115
- Metadata standard version
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ISO 19115:2003 NL Kernset 1.3 KNMI 2.1.0
- Metadata author
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Organisation name Individual name Electronic mail address Role Koninklijk Nederlands Meteorologisch Instituut (KNMI)
Point of contact
- Other language
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Language Character encoding Dutch; Flemish English UTF8
Overviews
Spatial extent
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