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

Petri Kärhä, Anna Vaskuri, Julian Gröbner, Luca Egli, Erkki Ikonen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-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
Subtitle of host publicationInternational Radiation Symposium (IRC/IAMAS) - Radiation Processes in the Atmosphere and Ocean
PublisherAmerican Institute of Physics
Number of pages4
ISBN (Print)978-0-7354-1478-5
DOIs
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Radiation Symposium: Radiation Processes in the Atmosphere and Ocean - Auckland, New Zealand
Duration: 16 Apr 201622 Apr 2016

Publication series

NameAIP Conference Proceedings
Volume1810
ISSN (Print)0094-243X

Conference

ConferenceInternational Radiation Symposium
Abbreviated titleIRS
CountryNew Zealand
CityAuckland
Period16/04/201622/04/2016

Fingerprint Dive into the research topics of 'Monte Carlo analysis of uncertainty of total atmospheric ozone derived from measured spectra'. Together they form a unique fingerprint.

Cite this