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

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...

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Bibliographic Details
Published in:International Conference on Military Technologies (Online) pp. 1 - 7
Main Author: Rouckova, Lenka
Format: Conference Proceeding
Language:English
Published: IEEE 27.05.2025
Subjects:
Automated decoding
Automation
Decoding
ISD NCEI NOAA
Meteorological data
Meteorology
National Oceanic and Atmospheric Administration
Python scripts
SIVS
Temperature distribution
Temperature extremes
Time series analysis
ISSN:2996-4474
Online Access:Get full text
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Summary: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.
ISSN:2996-4474
DOI:10.1109/ICMT65201.2025.11061335