Published August 5, 2024 | Version v1
Dataset Open

ALDIS cloud to ground lightning strike occurrence aggregated to spatiotemporal ERA5 cells (summer months 2010 to 2019)

  • 1. Independent Researcher
  • 2. ROR icon Austrian Electrotechnical Association
  • 3. ROR icon Universität Innsbruck

Description

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.

Technical info

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<chunksize=(720, 19, 35)>

 

Files

README.md

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Additional details

Dates

Available
2010/2019
limited to June, July, August