Emergency Meteorological Data Preparation for Artillery Operations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F25%3A00560687" target="_blank" >RIV/60162694:G42__/25:00560687 - isvavai.cz</a>
Result on the web
<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=mtmvs1eAEcQ=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=mtmvs1eAEcQ=&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0012205500003543" target="_blank" >10.5220/0012205500003543</a>

Result language
angličtina
Original language name
Emergency Meteorological Data Preparation for Artillery Operations
Original language description
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.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics
ISBN
978-989-758-670-5
ISSN
2184-2809
e-ISSN
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Number of pages
8
Pages from-to
250-257
Publisher name
ScitePress
Place of publication
Řím, Itálie
Event location
Řím, Itálie
Event date
Nov 13, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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