Rethinking the correction for absorbing aerosols in the satellite-based surface UV products

A. Arola, William Wandji Nyamsi, A. Lipponen, S. Kazadzis, N. Krotkov, J. Tamminen
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Abstract

Abstract. Satellite estimates of surface UV irradiance have been available since 1978 from TOMS UV spectrometer and continued with significantly improved ground resolution using Ozone Monitoring Instrument (OMI 2004-current) and Sentinel 5 Precursor (S5P 2017-current). The surface UV retrieval algorithm remains essentially the same: it first estimates the clear-sky UV irradiance based on measured ozone and then accounts for the attenuation by clouds and aerosols applying two consecutive correction factors. When estimating the total aerosol effect in surface UV irradiance, there are two major classes of aerosols to be considered: 1) aerosols that only scatter UV radiation and 2) aerosols that both scatter and absorb UV radiation. The former effect is implicitly included in the measured effective Lambertian Equivalent scene reflectivity (LER), so the scattering aerosol influence is estimated through cloud correction factor. Aerosols that absorb UV radiation attenuate the surface UV radiation more strongly than non-absorbing aerosols of the same extinction optical depth (AOD). Moreover, since these aerosols also attenuate the outgoing satellite-measured radiance, the cloud correction factor that treats these aerosols as purely scattering underestimates their AOD causing underestimation of LER and overestimation of surface UV irradiance. Therefore, for correction of aerosol absorption additional information is needed, such as the UV absorbing Aerosol Index (UVAI) or a model-based monthly climatology of aerosol absorption optical depth (AAOD). A correction for absorbing aerosols was proposed almost a decade ago and later implemented in the operational OMI and TROPOMI UV algorithms. In this study, however, we show that there is still room for an improvement to better account for the solar zenith angle dependence and non-linearity in the absorbing aerosol attenuation and as a result we propose an improved correction scheme. There are two main differences between the new proposed correction and the one that is currently operational in OMI and TROPOMI UV-algorithms. First, the currently operational correction for absorbing aerosols is a function of AAOD only, while the new correction takes additionally the solar zenith angle dependence into account. Second, the 2nd order polynomial of the new correction takes better into account the non-linearity in the correction as a function of AAOD, if compared to the currently operational one, and thus better describes the effect by absorbing aerosols over larger range of AAOD. To illustrate the potential impact of the new correction in the global UV estimates, we applied the current and new proposed correction for global fields of AAOD from the aerosol climatology currently used in OMI UV algorithm, showing a typical differences of ±5 %. This new correction is easy to implement operationally using information of solar zenith angle and existing AAOD climatology.
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对卫星表面紫外线产品吸收气溶胶校正的再思考
摘要自1978年以来,TOMS紫外光谱仪就可以获得地表紫外线辐照度的卫星估计,并使用臭氧监测仪器(OMI 2004-current)和哨兵5前体(S5P 2017-current)继续显著提高地面分辨率。地面紫外线检索算法基本上保持不变:它首先根据测量的臭氧估计晴空紫外线辐照度,然后使用两个连续的校正因子计算云和气溶胶的衰减。在估计表面紫外线辐照的总气溶胶效应时,要考虑两大类气溶胶:1)只散射紫外线辐射的气溶胶和2)既散射又吸收紫外线辐射的气溶胶。前者的影响隐含在实测的有效朗伯等效场景反射率(LER)中,因此通过云校正因子估计散射气溶胶的影响。在相同消光光学深度(AOD)下,吸收紫外线辐射的气溶胶比不吸收紫外线的气溶胶对表面紫外线辐射的衰减更强烈。此外,由于这些气溶胶也会减弱卫星测量的辐射,因此将这些气溶胶视为纯粹散射的云校正因子低估了它们的AOD,从而低估了LER和高估了地表紫外线辐照度。因此,为了校正气溶胶吸收,需要额外的信息,如紫外线吸收气溶胶指数(UVAI)或基于模式的气溶胶吸收光学深度(AAOD)的月度气候学。近十年前提出了对气溶胶吸收的修正,后来在实际的OMI和TROPOMI UV算法中实施。然而,在本研究中,我们表明仍有改进的余地,以更好地考虑太阳天顶角依赖性和吸收气溶胶衰减中的非线性,因此我们提出了改进的校正方案。新提出的校正与目前在OMI和TROPOMI uv算法中使用的校正有两个主要区别。首先,目前对吸收气溶胶的操作校正仅是AAOD的函数,而新的校正额外考虑了太阳天顶角的依赖性。其次,与目前的校正相比,新校正的二阶多项式更好地考虑了校正中作为AAOD函数的非线性,从而更好地描述了在更大的AAOD范围内吸收气溶胶的效果。为了说明新校正对全球UV估计的潜在影响,我们应用了OMI UV算法中目前使用的气溶胶气候学对全球AAOD场的当前和新提出的校正,显示出±5%的典型差异。利用太阳天顶角资料和已有的AAOD气候学资料,这种新的校正方法易于操作实现。
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