Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year 3.650
  • CiteScore value: 3.37 CiteScore 3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H index value: 60 Scimago H index 60
Volume 11, issue 6
Atmos. Meas. Tech., 11, 3595-3610, 2018
https://doi.org/10.5194/amt-11-3595-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 3595-3610, 2018
https://doi.org/10.5194/amt-11-3595-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Jun 2018

Research article | 20 Jun 2018

Uncertainty analysis of total ozone derived from direct solar irradiance spectra in the presence of unknown spectral deviations

Anna Vaskuri1, Petri Kärhä1, Luca Egli2, Julian Gröbner2, and Erkki Ikonen1,3 Anna Vaskuri et al.
  • 1Metrology Research Institute, Aalto University, P.O. Box 15500, 00076 Aalto, Finland
  • 2Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center, Dorfstrasse 33, 7260 Davos Dorf, Switzerland
  • 3MIKES Metrology, VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044 VTT, Finland

Abstract. We demonstrate the use of a Monte Carlo model to estimate the uncertainties in total ozone column (TOC) derived from ground-based direct solar spectral irradiance measurements. The model estimates the effects of possible systematic spectral deviations in the solar irradiance spectra on the uncertainties in retrieved TOC. The model is tested with spectral data measured with three different spectroradiometers at an intercomparison campaign of the research project Traceability for atmospheric total column ozone at Izaña, Tenerife on 17 September 2016. The TOC values derived at local noon have expanded uncertainties of 1.3% (3.6DU) for a high-end scanning spectroradiometer, 1.5% (4.4DU) for a high-end array spectroradiometer, and 4.7% (13.3DU) for a roughly adopted instrument based on commercially available components and an array spectroradiometer when correlations are taken into account. When neglecting the effects of systematic spectral deviations, the uncertainties reduce by a factor of 3. The TOC results of all devices have good agreement with each other, within the uncertainties, and with the reference values of the order of 282DU during the analysed day, measured with Brewer spectrophotometer #183.

Publications Copernicus
Download
Short summary
In this work, we introduce a Monte Carlo uncertainty analysis that takes into account possible systematic spectral deviations in the atmospheric full spectrum ozone retrieval method. Accounting for possible systematic spectral deviations in the spectral data is important since they produce larger total ozone column uncertainties than uncorrelated noise-like variations that traditional uncertainty estimations predict.
In this work, we introduce a Monte Carlo uncertainty analysis that takes into account possible...
Citation
Share