Emergency Meteorological Data Preparation for Artillery Operations

Jan Ivan, Michal Šustr, David Sládek, Jaroslav Varecha, Jiří Gregor

2023

Abstract

The article discusses a research project focused on new approaches to the meteorological preparation of artillery units. As can be observed in the current conditions of the war in Ukraine, artillery is a key component of both warring parties. The effectiveness of artillery is based on the accuracy of its fire. However, in order for the artillery to fire accurately, it is necessary to compensate for all the influences that may affect the shell flight. The main component of influencing factors are meteorological conditions, which the artillery determines by upper air sounding of the atmosphere. However, currently used methods are very susceptible to enemy activity and artillery must therefore be able to obtain meteorological data at any level of degradation of its capabilities. This article describes the research project which is aimed to create an aggregated predictive model based on historical meteorological data. Using this model, it would be possible to obtain meteorological data autonomously, without the need for complex sounding of the atmosphere or obtaining data from external sources. The article describes the proposed approaches to the solution of the project and the creation of an aggregated predictive model for the use of artillery units.

Paper Citation

in Harvard Style

Ivan J., Šustr M., Sládek D., Varecha J. and Gregor J. (2023). Emergency Meteorological Data Preparation for Artillery Operations. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 250-257. DOI: 10.5220/0012205500003543

in Bibtex Style

@conference{icinco23,
author={Jan Ivan and Michal Šustr and David Sládek and Jaroslav Varecha and Jiří Gregor},
title={Emergency Meteorological Data Preparation for Artillery Operations},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={250-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012205500003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Emergency Meteorological Data Preparation for Artillery Operations
SN - 978-989-758-670-5
AU - Ivan J.
AU - Šustr M.
AU - Sládek D.
AU - Varecha J.
AU - Gregor J.
PY - 2023
SP - 250
EP - 257
DO - 10.5220/0012205500003543
PB - SciTePress