Note: the Atmospheric Ozone Absorption in the Visible Spectrum

Part of the attenuation of the incoming solar radiation by the atmosphere is caused by ozone absorption in the UV and visible portions of the spectrum. Ozone absorption typically accounts for only 2-3 % of the global solar radiation depletion, but it is often 10-20 % of the absorption of the direct component. Thus, broadband solar radiation models require atmospheric ozone content as input in order to correctly calculate the direct component. Van Heuklon in 1979 described the general spatial and temporal characteristics of the ozone column in the atmosphere with an empirical mathematical relationship that can be easily incorporated into solar radiation transmission models (codes). The model requires only the day of the year, the latitude and longitude of the location of interest in order to calculate the total ozone column for that place and time, based upon observed climatological averages. In this study, the validity of van Heuklon’s formula for the atmospheric ozone content estimation is tested against satellite measurements for a number of cities in Europe. A new model based on the van Heuklon formula is fitted, with promising results.

Download Full-text

Uncertainty budgets of major ozone absorption cross sections used in UV remote sensing applications

Atmospheric Measurement Techniques ◽

10.5194/amt-9-4459-2016 ◽

2016 ◽

Vol 9 (9) ◽

pp. 4459-4470 ◽

Cited By ~ 7

Author(s):

Mark Weber ◽

Victor Gorshelev ◽

Anna Serdyuchenko

Keyword(s):

Remote Sensing ◽

Temperature Dependence ◽

Cross Section ◽

Atmospheric Ozone ◽

Absorption Cross ◽

Cross Section Data ◽

Laboratory Measurements ◽

Ozone Absorption ◽

Section Data ◽

Sensing Application

Abstract. Detailed uncertainty budgets of three major ultraviolet (UV) ozone absorption cross-section datasets that are used in remote sensing application are provided and discussed. The datasets are Bass–Paur (BP), Brion–Daumont–Malicet (BDM), and the more recent Serdyuchenko–Gorshelev (SG). For most remote sensing application the temperature dependence of the Huggins ozone band is described by a quadratic polynomial in temperature (Bass–Paur parameterization) by applying a regression to the cross-section data measured at selected atmospherically relevant temperatures. For traceability of atmospheric ozone measurements, uncertainties from the laboratory measurements as well as from the temperature parameterization of the ozone cross-section data are needed as input for detailed uncertainty calculation of atmospheric ozone measurements. In this paper the uncertainty budgets of the three major ozone cross-section datasets are summarized from the original literature. The quadratic temperature dependence of the cross-section datasets is investigated. Combined uncertainty budgets is provided for all datasets based upon Monte Carlo simulation that includes uncertainties from the laboratory measurements as well as uncertainties from the temperature parameterization. Between 300 and 330 nm both BDM and SG have an overall uncertainty of 1.5 %, while BP has a somewhat larger uncertainty of 2.1 %. At temperatures below about 215 K, uncertainties in the BDM data increase more strongly than the others due to the lack of very low temperature laboratory measurements (lowest temperature of BDM available is 218 K).

Download Full-text

Uncertainty budgets of major ozone absorption cross-sections used in UV remote sensing applications

10.5194/amt-2016-34 ◽

2016 ◽

Author(s):

Mark Weber ◽

Victor Gorshelev ◽

Anna Serdyuchenko

Keyword(s):

Remote Sensing ◽

Temperature Dependence ◽

Cross Section ◽

Atmospheric Ozone ◽

Absorption Cross ◽

Cross Section Data ◽

Laboratory Measurements ◽

Ozone Absorption ◽

Section Data ◽

Sensing Application

Abstract. Detailed uncertainty budgets of three major UV ozone absorption cross-section datasets that are used in remote sensing application are provided and discussed. The datasets are Bass-Paur (BP), Brion-Daumont-Malicet (BDM), and the more recent Serdyuchenko-Gorshelev (SG). For most remote sensing application the temperature dependence of the Huggins ozone band is described by a quadratic polynomial in temperature (Bass-Paur parameterisation) by applying a regression to the cross-section data measured at selected atmospherically relevant temperatures. For traceability of atmospheric ozone measurements uncertainties from the laboratory measurements as well as from the temperature parameterisation of the ozone cross-section data are needed as an input to detailed uncertainty calculation of atmospheric ozone measurements. In this paper the uncertainty budgets of the three major ozone cross-section datasets are summarised from the original literature. The quadratic temperature dependence of the cross-section datasets is investigated. Combined uncertainty budgets is provided for all data sets based upon Monte Carlo simulation that includes uncertainties from the laboratory measurements as well as uncertainties from the temperature parameterisation. Between 300 and 330 nm both BDM and SG have an overall uncertainty of 1.5 %, while BP has a somewhat larger uncertainty of 2.1 %. At temperatures below about 215 K, uncertainties in the BDM data increase more strongly than the others due to the lack of very low temperature laboratory measurements (lowest temperature of BDM available is 218 K).

Download Full-text