Data Presented in Positive Corona Inception from Charged Ellipsoidal Thundercloud Hydrometeors

doi:10.4121/16820980.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16820980
Datacite citation style:
Shahriar Mirpour; Silke Peeters; Sander Nijdam; Christoph Köhn (2021): Data Presented in Positive Corona Inception from Charged Ellipsoidal Thundercloud Hydrometeors. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16820980.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains all data presented in the manuscript "A Model for Positive Corona Inception from Charged Ellipsoidal Thundercloud Hydrometeors" by S.A. Peeters et al. (under review, open access at https://www.essoar.org/doi/10.1002/essoar.10507503.1). The data is indicated by figure names corresponding to the figures of this manuscript. The goal of this study is to investigate the conditions for the onset of a positive corona discharge in air for ellipsoidal hydrometeors. This is done for different pressures (relative gas density delta in the dataset) and aspect ratios of the ellipsoids. By doing so, the feasibility of corona inception from ellipsoidal hydrometeors can be formulated based on the self-sustaining condition of electron avalanches. From the theoretical expressions formulated around this condition, the equation defining this condition can be solved in Matlab. The data presented is the numerical output (electric field, voltage, surface charge, and ionization integral values) of the Matlab scripts, which are attached as supporting information to the study. The data used to determine the breakdown field is also included. The data, which consists of ionization and attachment coefficients, was obtained from the BOLSIG+ and Phelps databases.
history
  • 2021-10-22 first online, published, posted
publisher
4TU.ResearchData
format
xlsx
funding
  • Science and Innovation with thunderstorms (grant code 722337) [more info...] European Commission
organizations
TU Eindhoven, Department of Applied Physics

DATA

files (1)