Emergency Meteorological Data Preparation for Artillery Operations

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Emergency Meteorological Data Preparation for Artillery Operations

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Emergency Meteorological Data Preparation for Artillery Operations

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics

ISBN

978-989-758-670-5

ISSN

2184-2809

e-ISSN

—

Počet stran výsledku

8

Strana od-do

250-257

Název nakladatele

ScitePress

Místo vydání

Řím, Itálie

Místo konání akce

Řím, Itálie

Datum konání akce

13. 11. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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