Statistical evaluation of extreme ice loads

Lasse Makkonen, Maria Tikanmäki

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific


    The problem of how to estimate the probability of extreme icing events by historical data is crucial in the optimal design of structures in cold regions. For performing the extreme value analysis, numerous different methods are widely used, and several software packages available. There is no consensus on which method should be preferred. Furthermore, there are different criteria in use for the goodness of a method that estimates the cumulative distribution function and the extremes.By using the probabilistically correct goodness criterion, we present a method that provides estimates for the extremes that are considerably better than obtained by the conventional methods. This new method does not require subjective decisions by the user, and is particularly useful for small data sets, such as icing events observed over a short time-period.
    Original languageEnglish
    Title of host publicationProceedings of IWAIS 2019
    Number of pages5
    Publication statusPublished - 2019
    MoE publication typeB3 Non-refereed article in conference proceedings
    EventThe XVIII International Workshop on Atmospheric Icing of Structures, IWAIS 2019 - Reykjavik, Iceland
    Duration: 23 Jun 201928 Jun 2019
    Conference number: 18


    WorkshopThe XVIII International Workshop on Atmospheric Icing of Structures, IWAIS 2019
    Abbreviated titleIWAIS
    Internet address


    • extremes
    • extreme value analysis
    • return period
    • ice load
    • icing


    Dive into the research topics of 'Statistical evaluation of extreme ice loads'. Together they form a unique fingerprint.

    Cite this