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Assessment of TOMS UV bias due to the absorbing aerosols

机译：评估由于吸收气溶胶引起的TOMS紫外线偏差

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摘要

TOMS UV algorithm is capable of taking into account the scattering aerosols via its scene reflectivity. It also accounts for absorbing aerosols in free troposphere (dust and smoke plumes) via aerosol index correction. On the other hand, the effects of aerosol absorption in the boundary layer are not properly taken into account, because they do not appear as absorbing aerosols in the TOMS AI data (positive AI). This additional error has been claimed to be the reason for the observed positive bias between TOMS derived UV and ground-based measurements. We compared TOMS overpass irradiances against the Brewer measurements in NASA/GSFC site in USA and Thessaloniki, Greece with the main objective of evaluating the effect of absorbing aerosols with the measurements of aerosol optical properties. We found that the bias between TOMS UV and ground-based data depends on the aerosol absorption. In other words, the bias was increasing with the increasing aerosol absorption, τ_(abs) A simple correction to account for this effect is proposed, assuming that the climatology of τ_(abs) is known.
机译：TOMS UV算法能够通过其场景反射率来考虑散射气溶胶。它还可以通过气溶胶指数校正来吸收自由对流层中的气溶胶（粉尘和烟羽）。另一方面，没有适当考虑边界层中气溶胶吸收的影响，因为它们在TOMS AI数据（正AI）中没有表现为吸收气溶胶。该附加误差被认为是在TOMS衍生的UV和基于地面的测量之间观察到正偏差的原因。我们将TOMS立交辐照度与美国NASA / GSFC站点和希腊塞萨洛尼基的Brewer测量结果进行了比较，其主要目的是通过测量气溶胶光学性质来评估吸收气溶胶的效果。我们发现TOMS UV和地面数据之间的偏差取决于气溶胶吸收。换句话说，随着气溶胶吸收量τ_（abs）的增加，偏压也随之增加。假设已知τ_（abs）的气候，提出了一种简单的校正方法以解决这一问题。

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