Abstract

Abstract. Surface noontime spectral ultraviolet (UV) irradiances during May-September of 2000–2004 from the total ozone mapping spectrometer (TOMS) satellite retrievals are systematically compared with the ground measurements at 27 climatological sites maintained by the USDA UV-B Monitoring and Research Program. The TOMS retrievals are evaluated by two cloud screening methods and local air quality conditions to determine their bias dependencies on spectral bands, cloudiness, aerosol loadings, and air pollution. Under clear-sky conditions, TOMS retrieval biases vary from −3.4% (underestimation) to 23.6% (overestimation). Averaged over all sites, the relative mean biases for 305, 311, 325, and 368 nm are respectively 15.4, 7.9, 7.6, and 7.0% (overestimation). The bias enhancement for 305 nm by approximately twice that of other bands likely results from absorption by gaseous pollutants (SO2, O3), and aerosols that are not included in the TOMS algorithm. For all bands, strong positive correlations of the TOMS biases are identified with aerosol optical depth, which explains nearly 50% of the variances of TOMS biases. The more restrictive in-situ cloud screening method reduces the biases by 3.4–3.9% averaged over all sites. This suggests that the TOMS biases from the in-situ cloud contamination may account for approximately 25% for 305 nm and 50% for other bands of the total bias. The correlation coefficients between total-sky and clear-sky biases across 27 sites are 0.92, 0.89, 0.83, and 0.78 for 305, 311, 325, and 368 nm, respectively. The results show that the spatial characteristics of the TOMS retrieval biases are systematic, representative of both clear and total-sky conditions.

Highlights

  • Increasing surface ultraviolet (UV) radiation due to stratospheric ozone depletion by anthropogenic emissions has been a topic of growing interest as it is harmful to humans, livestock, agricultural crops, and forest ecosystems (Zerefos et al, 1995; Norval et al, 2006; Caldwell et al, 2006; Bais et al, 2007; Denman et al, 2007)

  • This study evaluates surface noontime spectral UV irradiances during the summer (May-September) of 2000-2004 from total ozone mapping spectrometer (TOMS) satellite retrievals against the multi-filter rotating shadowband radiometer (MFRSR) ground measurements at 27 UV-B Monitoring and Research Program (UVMRP) climatological sites

  • The TOMS retrievals are re-convoluted to match the spectral bands of the UVMRP measurements at 305, 311, 325, and 368 nm using the DISORT radiative transfer model

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Summary

Introduction

Increasing surface ultraviolet (UV) radiation due to stratospheric ozone depletion by anthropogenic emissions has been a topic of growing interest as it is harmful to humans, livestock, agricultural crops, and forest ecosystems (Zerefos et al, 1995; Norval et al, 2006; Caldwell et al, 2006; Bais et al, 2007; Denman et al, 2007). The biases of TOMS from UVMRP surface spectral UV irradiances can be attributed to four major sources: (1) retrieval uncertainties in the TOMS UV algorithm (Herman et al, 1999; Krotkov et al, 2001); (2) SRF differences (2-nm FWHM measured SRF vs 0.55-nm analytical triangular SRF); (3) inhomogeneity effects due to large spatial and temporal variability of aerosols and clouds within a satellite pixel or TOMS grid (Herman et al, 1999; Weihs et al, 2008; Kazadzis et al, 2009b); and (4) systematic TOMS overestimations resulting from tropospheric UVabsorbing aerosols (Papayannis et al, 2005; Amiridis et al, 2005; Li et al, 2009) and tracer gases (e.g., NO2, SO2, and tropospheric O3) (Zerefos et al, 2002) that were not fully incorporated in the TOMS UV algorithm (Krotkov et al, 1998; Herman et al, 1999; McKenzie et al, 2001; Fioletov et al, 2002; Kazantzidis et al, 2006; Tanskanen et al, 2007).

Surface UV irradiances from UVMRP measurements and TOMS retrievals
Spectral re-convolution from TOMS to UVMRP bands
Detection of clear versus cloudy sky conditions
Data compatibility issues
Spectral dependence
Aerosol dependence
Other factors for result limitations
Regional dependence
Cloud detection effects and total-sky surface UV
Findings
Summary
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