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Evaluation and Visualisation of Unusual Weather ina Compound Framework - a Methodology Based onHungarian Station Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00639620" target="_blank" >RIV/86652079:_____/25:00639620 - isvavai.cz</a>

  • Result on the web

    <a href="https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.70091" target="_blank" >https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.70091</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/joc.70091" target="_blank" >10.1002/joc.70091</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation and Visualisation of Unusual Weather ina Compound Framework - a Methodology Based onHungarian Station Data

  • Original language description

    In this paper, we introduce a set of definitions together with a data visualisation platform, which can be used to evaluate pastweather conditions and to visualise unusual periods in a simplified, easy-to-understand manner. To achieve this, four main ob-jectives are set: (1) the definitions of unusual phenomena must be based on relative thresholds and take into account seasonality,(2) the reference climatology must be relevant spatially, (3) the results should not be bound to specific calendar years or months,(4) unusual phenomena should be visualised simultaneously (hence provide a compound framework). The expression ‘unusual’is used in this study to describe anomalous values in contrast to the more commonly used ‘extreme’, because we aim to highlightperiods with non-absolute weather extremes. As input, daily meteorological data available at 70 stations across Hungary from2002 to 2024 are used to create the methodology, where a total of 9 unusual weather phenomena are defined using temperature,precipitation and wind gust as basic variables. The main motivation behind this study is to analyse compound climatic events,which are spatially and/or temporally connected. Additionally, the methodology serves as the meteorological basis for a sciencecommunication platform that combines complex information with simplicity. The approach described in this paper can serve asinspiration for further studies aiming to evaluate weather extremes in the past.

  • 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

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Climatology

  • ISSN

    0899-8418

  • e-ISSN

    1097-0088

  • Volume of the periodical

    45

  • Issue of the periodical within the volume

    14

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    001576949300001

  • EID of the result in the Scopus database

    2-s2.0-105017053531