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AerGOM, an improved algorithm for stratospheric aerosol extinctionretrieval from GOMOS observations – Part 1: Algorithm description

机译:AERGOM,一种改进的戈麦斯观测分流层气溶胶灭绝算法 - 第1部分:算法描述

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摘要

The GOMOS instrument on Envisat has successfully demonstrated that a UV–Vis–NIR spaceborne stellar occultation instrument is capable of delivering quality data on the gaseous and particulate composition of Earth's atmosphere. Still, some problems related to data inversion remained to be examined. In the past, it was found that the aerosol extinction profile retrievals in the upper troposphere and stratosphere are of good quality at a reference wavelength of 500?nm but suffer from anomalous, retrieval-related perturbations at other wavelengths. Identification of algorithmic problems and subsequent improvement was therefore necessary. This work has been carried out; the resulting AerGOM Level?2 retrieval algorithm together with the first data version AerGOMv1.0 forms the subject of this paper. The AerGOM algorithm differs from the standard GOMOS IPF processor in a number of important ways: more accurate physical laws have been implemented, all retrieval-related covariances are taken into account, and the aerosol extinction spectral model is strongly improved. Retrieval examples demonstrate that the previously observed profile perturbations have disappeared, and the obtained extinction spectra look in general more consistent. We present a detailed validation study in a companion paper; here, to give a first idea of the data quality, a worst-case comparison at 386?nm shows SAGE?II–AerGOM correlation coefficients that are up to 1 order of magnitude larger than the ones obtained with the GOMOS IPFv6.01 data set.
机译:Envisat上的Gomos仪器已成功证明UV-Vis-Nir星载恒星掩星介质仪器能够在地球大气的气态和颗粒组合物上提供质量数据。仍然,仍有与数据反演相关的一些问题被检查。过去,发现上层对流层和平流层中的气溶胶消灭轮廓检索在500μm的参考波长下具有良好的质量,但在其他波长中遭受异常,检索相关的扰动。因此,需要识别算法问题和随后的改进。这项工作已经进行了;由此产生的Aergom级别?2检索算法与第一数据版Aergomv1.0一起形成本文的主题。 AERGOM算法以多种重要方式与标准GOMOS IPF处理器的不同:更准确的物理法律已经实施,考虑所有检索相关的协方差,并且强烈改善了气溶胶消光光谱模型。检索示例表明,先前观察到的轮廓扰动已经消失,并且所获得的消光光谱看起来一般更一致。我们在伴侣纸上提供了详细的验证研究;在这里,为了提供数据质量的第一个思想,386的最坏情况比较显示Sage?II-Aergom相关系数,其高达1级大于用Gomos IPFv6.01数据集获得的级。
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