Automation of NCEI NOAA Meteorological Data Decoding and its use for the Analysis of Temperature Extremes in the Czech Republic (2010-2023)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564793" target="_blank" >RIV/60162694:G43__/26:00564793 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061335" target="_blank" >10.1109/ICMT65201.2025.11061335</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automation of NCEI NOAA Meteorological Data Decoding and its use for the Analysis of Temperature Extremes in the Czech Republic (2010-2023)

Popis výsledku v původním jazyce

This study focuses on the analysis of meteorological data from five meteorological stations in the Czech Republic for the period 2010-2023. The aim was to automate the decoding of the data and evaluate its suitability for the analysis of temperature extremes. The data were obtained from NOAA's NCEI and processed using Python scripts to ensure efficient decoding. The results show high time series completeness (greater than 98.5%) and identify locations with the highest occurrence of temperature extremes in the initial analysis. Kuchařovice shows the highest occurrence of high temperatures, while Přibyslav has the most days with extremely low temperatures. Future research should expand the data to include more variables and finer temporal resolution to better understand extreme weather patterns.

Název v anglickém jazyce

Automation of NCEI NOAA Meteorological Data Decoding and its use for the Analysis of Temperature Extremes in the Czech Republic (2010-2023)

Popis výsledku anglicky

This study focuses on the analysis of meteorological data from five meteorological stations in the Czech Republic for the period 2010-2023. The aim was to automate the decoding of the data and evaluate its suitability for the analysis of temperature extremes. The data were obtained from NOAA's NCEI and processed using Python scripts to ensure efficient decoding. The results show high time series completeness (greater than 98.5%) and identify locations with the highest occurrence of temperature extremes in the initial analysis. Kuchařovice shows the highest occurrence of high temperatures, while Přibyslav has the most days with extremely low temperatures. Future research should expand the data to include more variables and finer temporal resolution to better understand extreme weather patterns.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings

ISBN

979-8-3315-2338-1

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

—

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

—

Místo konání akce

Brno, Czech Republic

Datum konání akce

27. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001545807300075