GeoSphere Austria Data Hub

Ensemble Forecast for Austria

Attention: This dataset will be calculated using a new model in the future—please refer to the next version for more details. No changes are necessary at this time, as both versions use the same endpoint. The replacement of the dataset is scheduled for early 2027, which will require a change in the endpoint. We will notify you of the exact date via our Data Hub News.

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	02.07.2026 04:57 UTC
Temporal Extent - Start Time	02.07.2026 00:00 UTC
Temporal Extent - End Time	04.07.2026 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.