Monte Carlo analysis of uncertainty of total atmospheric ozone derived from measured spectra

Pertti Kärhä (Corresponding author), Anna Vaskuri, Julian Gröbner, Luca Egli, Erkki Ikonen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)

    Abstract

    We present a Monte Carlo based model to study effects that possible correlations in spectral irradiance data may have on the derived total ozone column values. Correlations may produce systematic errors in the spectral irradiance which behave differently from uncorrelated data. The effects are demonstrated by analyzing the data of one day's measurements.
    Original languageEnglish
    Title of host publicationRadiation Processes in the Atmosphere and Ocean (IRS2016)
    Subtitle of host publicationProceedings of the International Radiation Symposium (IRC/IAMAS)
    EditorsRoger Davies, Luca Egli, Werner Schmutz
    PublisherAmerican Institute of Physics (AIP)
    Number of pages5
    ISBN (Print)978-0-7354-1478-5
    DOIs
    Publication statusPublished - 22 Feb 2017
    MoE publication typeA4 Article in a conference publication
    EventInternational Radiation Symposium 2016, IRS 2016: Radiation Processes in the Atmosphere and Ocean - Auckland, New Zealand
    Duration: 16 Apr 201722 Apr 2017

    Publication series

    SeriesAIP Conference Proceedings
    Volume1810
    ISSN0094-243X

    Conference

    ConferenceInternational Radiation Symposium 2016, IRS 2016
    Abbreviated titleIRS 2016
    Country/TerritoryNew Zealand
    CityAuckland
    Period16/04/1722/04/17

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