GeoSphere Austria Data Hub

Ensemble Forecast for Austria

Attention: This dataset will be shut down on 4 November 2026, requiring a change to the endpoint. For more Information on the newly available higher resolution and parameters, please refer to the latest version: https://data.hub.geosphere.at/dataset/ensemble-v2-1h-1km

Description

Public

The C-LAEF (Convection-permitting Limited-Area Ensemble Forecasting) ensemble system provides meteorological forecasts for the extended Alpine region on a 2.5-kilometer grid. It is recalculated twice daily and provides forecasts for 60 hours. The existing dataset contains the 10th, 50th and 90th percentiles from the 17 underlying model runs (16 ensembles and one control run). Based on this data, the uncertainty of the forecasts can be estimated.

Keywords

Cloud cover , Thunderstorm , Precipitation , Radiation , Temperature , Wind

Resources

API-Documentation API-DOKU Go to Dataset

Bulk download via HTTP filelisting HTTP Go to Dataset

Metadata

Organization	GeoSphere Austria
Publisher	GeoSphere Austria
Metadata Responsible Organization	GeoSphere Austria
Authors	GeoSphere Austria
DOI	https://doi.org/10.60669/1a8r-ve42
License	Creative Commons Attribution 4.0 International
Creation date	07.05.2024
Publication date	07.05.2024
Last modification	13.09.2026 05:18 UTC
Temporal Extent - Start Time	13.09.2026 00:00 UTC
Temporal Extent - End Time	15.09.2026 12:00 UTC
Temporal Resolution	hourly
Update Frequency	12-hourly
Specific Information	Spatial Resolution: 2.5 km Bounding Box: 42.98 - 51.82 °N, 5.49 - 22.1 °E Projection: WGS84 - World Geodetic System 1984 (EPSG: 4326)
Parameters	Temperature, Precipitation, Wind, Radiation, Thunderstorm, Cloud cover
Version	1
Subsequent Version(s)	https://doi.org/10.60669/c1by-wh34
Origin	The C-LAEF (Convection-permitting Limited-Area Ensemble Forecasting) ensemble system provides meteorological forecasts for the extended Alpine region on a 2.5-kilometer grid. It is recalculated twice daily and provides forecasts for 60 hours. The existing dataset contains the 10th, 50th and 90th percentiles from the 17 underlying model runs (16 ensembles and one control run). Based on this data, the uncertainty of the forecasts can be estimated.