@inproceedings{b9ee7aa3a4304d83accbbc254fe0f1e3,
title = "Monte Carlo analysis of uncertainty of total atmospheric ozone derived from measured spectra",
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.",
author = "Pertti K{\"a}rh{\"a} and Anna Vaskuri and Julian Gr{\"o}bner and Luca Egli and Erkki Ikonen",
year = "2017",
month = feb,
day = "22",
doi = "10.1063/1.4975567",
language = "English",
isbn = "978-0-7354-1478-5",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics (AIP)",
editor = "Roger Davies and Luca Egli and Werner Schmutz",
booktitle = "Radiation Processes in the Atmosphere and Ocean (IRS2016)",
address = "United States",
note = "International Radiation Symposium 2016, IRS 2016 : Radiation Processes in the Atmosphere and Ocean, IRS 2016 ; Conference date: 16-04-2017 Through 22-04-2017",
}