Share:


Analyses of European terminal aerodrome weather forecasts in 2022 and 2023

    David Sládek Affiliation
    ; Blanka Chalupníková Affiliation
    ; Alžběta Schneidrová Affiliation
    ; Lenka Roučková Affiliation

Abstract

Terminal Aerodrome Forecasts (TAFs) are essential components of aviation meteorology, providing critical information for flight safety and operational decision-making. This study conducts a comprehensive analysis of TAF for European airports during the years 2022 and 2023, leveraging Python functions accessible via a dedicated GitHub repository. The complexity inherent in TAF, characterized by diverse change groups, header formats, and regional variations, presents challenges for accurate interpretation. The analysis focuses on key parameters within TAF, including the count of corrected messages and the frequency and types of change groups. The count of corrected messages serves as a metric for evaluating the quality of service provided, while the examination of change group utilization reveals distinct patterns and tendencies specific to each airport. The findings underscore the significance of regional regulations, meteorologist decision-making, and adherence to International Civil Aviation Organization (ICAO) standards in shaping TAF. The GitHub repository and associated Python functions presented in this study provide valuable resources for meteorologists, researchers, and aviation personnel to conduct in-depth analyses and derive insights from TAF. Ultimately, this study identifies local differences and inconsistencies in the publication of TAF, laying the groundwork for enhancing their consistency and uniformity.

Keyword : TAF, aviation meteorology, terminal aerodrome forecast, change groups, European airports

How to Cite
Sládek, D., Chalupníková, B., Schneidrová, A., & Roučková, L. (2024). Analyses of European terminal aerodrome weather forecasts in 2022 and 2023. Aviation, 28(2), 100–114. https://doi.org/10.3846/aviation.2024.21690
Published in Issue
Jul 29, 2024
Abstract Views
165
PDF Downloads
149
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

International Civil Aviation Organization. (2010). Manual on the Quality Management System for aeronautical information services (2nd). ICAO.

International Civil Aviation Organization. (2018). International standards and Recommended Practices: Annex 3 to the Convention on International Civil Aviation Meteorological Service for International Air Navigation. ICAO.

Mahringer, G. (2008). Terminal aerodrome forecast verification in Austro Control using time windows and ranges of forecast conditions. Meteorological Applications, 15(1), 113–123. https://doi.org/10.1002/met.62

Novotny, J., Dejmal, K., Repal, V., Gera, M., & Sladek, D. (2021). Assessment of TAF, METAR, and SPECI Reports Based on ICAO ANNEX 3 Regulation. Atmosphere, 12(2), Article 138. https://doi.org/10.3390/atmos12020138

Ogimet. (2024). https://www.ogimet.com/

Sharpe, M., Bysouth, C., & Trueman, M. (2016). Towards an improved analysis of Terminal Aerodrome Forecasts. Meteorological Applications, 23(4), 698–704. https://doi.org/10.1002/met.1593

Simone, F., Di Gravio, G., & Patriarca, R. (2022). Performance-based analysis of aerodrome weather forecasts. In 2022 New Trends in Civil Aviation (NTCA) (pp. 27–33). IEEE. https://doi.org/10.23919/NTCA55899.2022.9934004

Sladek, D. (2019). Attitudes comparison of TAF forecast quality assessment. In 2019 International Conference on Military Technologies (ICMT) (pp. 1–7). IEEE. https://doi.org/10.1109/MILTECHS.2019.8870081

Sladek, D. (2021). Weather phenomena and cloudiness accuracy assessment in TAF forecasts. In 2021 International Conference on Military Technologies (ICMT) (pp. 1–6). IEEE. https://doi.org/10.1109/ICMT52455.2021.9502819

Sládek, D. (2024). Terminal Forecast Python processing. https://github.com/Sladekd/Terminal-Forecast-Python-Processing

The Python Package index. (2024a). Beautifulsoup4 4.12.3. https://pypi.org/project/beautifulsoup4/

The Python Package Index. (2024b). Requests 2.31.0. https://pypi.org/project/requests/