35 datasets

A selection of atmospheric weather model parameters. It concerns near surface and boundary layer parameters of UWC-West HARMONIE model (most recent cycle), for the Dutch domain. For this weather forec...

Output from the KNMI CellWarn system, which performs real-time identification, tracking and path prediction and includes automated detection of associated severe weather phenomena. Data includes polyg...

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...

This dataset contains the data for the forcing of storm surge and wave models for the North Sea. These data cover the entire DINI domain on the original grid and are meant for only the North Sea and t...

Altitude wind forecasts spanning up to 200 meters, catering to multiple locations in the Netherlands and the North Sea region. It relies on inputs like wind direction, wind speed, and total cloud cove...

In the frame of the Copernicus Atmosphere Monitoring Service - National Collaboration Programme (CAMS-NCP) for the Netherlands, KNMI issues daily a 4-day air quality forecast for the Netherlands using...

Probability forecasts for possible dangerous weather, based on weather model output from the ECMWF atmospheric ensemble model. Probabilities are uncalibrated. Available are forecasts for visibility (f...

This dataset contains the maritime forecasts as published multiple times a day by the KNMI for the Dutch coastal districts, the North Sea districts and the Dutch Continental Shelf districts. Forecasts...

This dataset contains horizontally averaged statistics from unvalidated Dutch Atmospheric Large Eddy Simulation (DALES) forecasts with a lead time of 24h. The LES is ran using the Ruisdael branch of D...

Current operational HARMONIE ensemble information in gridded form (rotated lat-lon) of wind (up to 300 m), cloud cover and radiation from the UWC-West HARMONIE-AROME Cy43 model. For this weather forec...