All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

ANALYSES OF EUROPEAN TERMINAL AERODROME WEATHER FORECASTS IN 2022 AND 2023

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F25%3A00563501" target="_blank" >RIV/60162694:G43__/25:00563501 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.vilniustech.lt/index.php/Aviation/article/view/21690" target="_blank" >https://journals.vilniustech.lt/index.php/Aviation/article/view/21690</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3846/aviation.2024.21690" target="_blank" >10.3846/aviation.2024.21690</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    ANALYSES OF EUROPEAN TERMINAL AERODROME WEATHER FORECASTS IN 2022 AND 2023

  • Original language description

    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. quency 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20304 - Aerospace engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    AVIATION

  • ISSN

    1648-7788

  • e-ISSN

    1822-4180

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    LT - LITHUANIA

  • Number of pages

    15

  • Pages from-to

    100-114

  • UT code for WoS article

    001282848500002

  • EID of the result in the Scopus database