Vertical Profiles of Convection-Permitting Simulations for Predicting Thunderstorm Occurrence

Vahid Yousefnia, Kianusch and Bölle, Tobias and Metzl, Christoph (2024) Vertical Profiles of Convection-Permitting Simulations for Predicting Thunderstorm Occurrence. Zenodo. [Other]

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Abstract

This repository contains datasets for training and evaluation of the machine learning (ML) models in K. Vahid Yousefnia et al., Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model, 2024 (submitted to Artificial Intelligence for the Earth Systems, preprint available at https://arxiv.org/abs/2409.20087)

Item URL in elib:

https://elib.dlr.de/209206/

Document Type:

Other

Title:

Vertical Profiles of Convection-Permitting Simulations for Predicting Thunderstorm Occurrence

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Vahid Yousefnia, Kianusch	DLR, IPA	https://orcid.org/0000-0003-2644-2539	172417654
Bölle, Tobias	DLR, IPA	https://orcid.org/0000-0003-3714-6882	UNSPECIFIED
Metzl, Christoph	DLR, IPA	UNSPECIFIED	UNSPECIFIED

Date:

23 October 2024

Refereed publication:

Open Access:

DOI:

10.5281/zenodo.13981207

Publisher:

Zenodo

Status:

Published

Keywords:

maschinelles Lernen, numerische Wettervorhersage, Gewittererkennung, Trainingsdaten

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

Air Transportation and Impact

DLR - Research area:

Aeronautics

DLR - Program:

L AI - Air Transportation and Impact

DLR - Research theme (Project):

L - Climate, Weather and Environment

Location:

Oberpfaffenhofen

Institutes and Institutions:

Institute of Atmospheric Physics > Applied Meteorology

Deposited By:

Vahid Yousefnia, Kianusch

Deposited On:

25 Nov 2024 07:59

Last Modified:

10 Jul 2026 11:39

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