Published April 17, 2023 | Version 3.0.0
Software Open

Supplementary material: Thunderstorm Environments in Europe

Description

Supplementary material for the paper "Thunderstorm Environments in Europe".

- R code to reproduce the core analysis (reproducing_calculations.R)

- Data for each domain (data_domain*.csv)

- csv-files of the two tables in the paper (means_clusters.csv and means_domains.csv).

- Domain definitions (domains.csv).

- A precise variable description (era5_vars.csv)

- README for more information.

Summary of the corresponding paper: Two thunderstorm environments are described for Europe: Mass-field thunderstorms, which occur mostly in summer, over land, and under similar meteorological conditions, and wind-field thunderstorms, which occur mostly in winter, over the sea, and under more diverse meteorological conditions. Our descriptions are independent of static thresholds and help to understand why thunderstorms in unfavorable seasons for lightning pose a particular risk to tall infrastructure such as wind turbines.

Link to the preprint: https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1453/

Notes

Funding: Austrian Research Promotion Agency (FFG), project no. 872656. Austrian Science Fund (FWF), project no. P 31836. Austrian Science Fund (FWF), project no. P 35780-NBL with financial support from the State of Tirol, Austria.

Files

data_domainA.csv

Files (199.3 MB)

Name Size Download all
md5:98a29be09bf02d0d467c1f6d31e52e88
16.0 MB Preview Download
md5:f4bee02cefd21726980a707fc60da420
14.2 MB Preview Download
md5:b127167fe3a667a633469a6a2814e424
2.7 MB Preview Download
md5:8636f07b597127cf0e3757579240d146
20.5 MB Preview Download
md5:50f368996a4606d0a9480e3f8d7a63e4
20.5 MB Preview Download
md5:14fbf0d09b1cbce2a201883c8bea83dc
20.4 MB Preview Download
md5:5187f824f75e85232939fbce056d822c
13.8 MB Preview Download
md5:c02e04100cfed1264c8c94a7e42b9630
8.8 MB Preview Download
md5:ff3446f591be28c0e58c46b8b4d3e775
20.2 MB Preview Download
md5:7ded12928eb66d5371edcca6fb3584f2
20.6 MB Preview Download
md5:082fa2d3c5dc86ee45f720e081dae2e8
20.7 MB Preview Download
md5:50381877f39e60328bfe29045bf8af3b
20.7 MB Preview Download
md5:26c7c4dbd8b980ed599c92873620b464
2.0 kB Preview Download
md5:e0c9ac98c28c6b85c70a881b47cc0840
16.6 kB Preview Download
md5:9542929c0f8c847ed023a77e1dfa10c7
16.1 kB Preview Download
md5:b42a3934ce59bbe0cf93bc8cb5c6cbfc
5.2 kB Preview Download
md5:ade1f537604adb3cf05add7595d54f60
1.3 kB Preview Download
md5:6f56602861503ea4676bfe61b942cc6f
34.1 kB Download

Additional details

Related works

Continues
Software: 10.5281/zenodo.5851700 (DOI)
Is supplement to
Preprint: 10.5194/egusphere-2022-1453 (DOI)

Funding

FWF Austrian Science Fund
Multivariate Probabilistic Forecasting of Weather Using Joint Distributional Regression P 31836
FWF Austrian Science Fund
Atmospheric deserts P 35780