Technical details Authors: Thorsten Simon, Wolfgang Schulz, Gregor Ehrensperger, Georg Mayr Date: 2024-08-05 One-liner: ALDIS data (2010--2019) aggregated to ERA5 resolution. DOI: 10.5281/zenodo.13164463 Format: netCDF Overview ALDIS lightning data we gratefully recieved from ALDIS (https://www.aldis.at/), the Austrian Lightning Detection and Information System, through Wolfgang Schulz. ALDIS data are available for the summer months (June, July, August) for the years 2010-2019. This dataset contains data aggregated to ERA5 resolution. Details We aggregated the ALDIS data to this resolution using ceiling, meaning all flashes are stored at the next full hour. The area covered is a rectangle from 8.25E to 16.75E longitude and 45.25N to 49.75N latitude. flash is set to True when at least one cloud to ground lighting occurred within the given spatiotemporal ERA5 cell and False otherwise. Non-commercial use is allowed conditional on proper citation of the data source, ALDIS, and the accompanying manuscript Ehrensperger, G., Simon, T., Mayr, G. J., and Hell, T.: Identifying lightning processes in ERA5 soundings with deep learning, Geosci. Model Dev., 18, 1141–1153, https://doi.org/10.5194/gmd-18-1141-2025, 2025. Data schema Dimensions Dimension Size time 22080 latitude 19 longitude 35 Coordinates Coordinate Type Values Units longitude float64 8.25, 8.5, 8.75, ..., 16.25, 16.5, 16.75 degrees latitude float64 45.25, 45.5, 45.75, ..., 49.5, 49.75 degrees time datetime64[ns] 2010-06-01T01:00:00, ..., 2019-09-01 - Data Variables Variable Dimensions Type Description flash (time, latitude, longitude) boolean dask.array

The dataset contains a binary classification whether at least one cloud-to-ground lightning flash as detected by the ALDIS [1] lightning location system occurred in the previous hour in an ERA5 grid cell. Data with an amplitude between -2 kA and +15 kA are excluded. The data cover 8.25E to 16.75E longitude and 45.25N to 49.75N latitude.Non-commercial use is allowed conditional on proper citation of the data source, ALDIS, and the accompanying manuscript Ehrensperger, G., Simon, T., Mayr, G. J., and Hell, T.: Identifying lightning processes in ERA5 soundings with deep learning, Geosci. Model Dev., 18, 1141–1153, https://doi.org/10.5194/gmd-18-1141-2025, 2025.