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)


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)
EditorsWerner Schmutz, Roger Davies, Luca Egli
PublisherAmerican Institute of Physics (AIP)
Number of pages5
ISBN (Electronic)9780735414785
ISBN (Print)978-0-7354-1478-5
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


ConferenceInternational Radiation Symposium 2016, IRS 2016
Abbreviated titleIRS 2016
CountryNew Zealand

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