TROPOMI的乙二醛对流层柱反演,多卫星比对和地面验证

C. Lerot, F. Hendrick, M. Van Roozendael, L. Alvarado, A. Richter, I. de Smedt, N. Theys, J. Vlietinck, Huan Yu, J. van Gent, T. Stavrakou, J. Müller, P. Valks, D. Loyola, H. Irie, Vinod Kumar, T. Wagner, S. Schreier, V. Sinha, Ting Wang, Pucai C. Wang, C. Retscher
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引用次数: 10

摘要

摘要。本文介绍了由Sentinel-5先兆卫星上的对流层监测仪器(TROPOMI)获得的第一个全球对流层乙二醛(CHOCHO)柱产品。大气中的乙二醛是由其他非甲烷挥发性有机化合物(NMVOCs)的氧化和燃烧过程引起的直接排放产生的。因此,该产品是一个有用的VOC排放指标。它是基于差分光学吸收光谱(DOAS)方法的BIRA-IASB科学检索算法的改进版本生成的。在算法更新中,DOAS拟合现在包括校正,以减轻由场景亮度不均匀性和强NO2吸收引起的光谱不匹配的影响。该产品附带了一个完整的误差表征,它允许为每个观察提供随机和系统的误差估计。系统误差通常在1-3 × 1014分子/cm2范围内(在发射区~30 - 70%)。随机误差较大(> 6 × 1014分子/cm2),但可以通过在空间和/或时间上平均观测值来减小。得益于高信噪比和大量小尺寸观测,TROPOMI提供了前所未有的乙二醛对流层柱场的细节水平。使用相同的检索算法基线,还从Aura上的臭氧监测仪器(OMI)和Metop-A和Metop-B上的全球臭氧监测实验-2 (GOME-2)生成乙二醛柱数据集。这四个数据集在世界范围内的大范围区域进行了相互比较,显示出高度的一致性。卫星乙二醛柱还与亚洲和欧洲9个站点的地面多轴DOAS (MAX-)仪器获取的乙二醛柱进行了比较。一般来说,卫星和MAX-DOAS仪器在绝对值和变异性方面提供一致的乙二醛柱。TROPOMI与MAX-DOAS乙二醛柱的相关系数在0.61 ~ 0.87之间。只有一个中纬度观测站的相关性较差,那里的卫星数据在冬季显得偏差较小。卫星和MAX-DOAS测定的低/中色谱柱的平均绝对乙二醛含量基本一致,差异小于1 × 1014 mol /cm2。在MAX-DOAS列非常大的两个位置发现较大的偏差。尽管存在这种系统偏差,但卫星和MAX-DOAS乙二醛季节变化的一致性非常好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Glyoxal tropospheric column retrievals from TROPOMI, multi-satellite intercomparison and ground-based validation
Abstract. We present the first global glyoxal (CHOCHO) tropospheric column product derived from the TROPOspheric Monitoring Instrument (TROPOMI) on board of the Sentinel-5 Precursor satellite. Atmospheric glyoxal results from the oxidation of other non-methane volatile organic compounds (NMVOCs) and from direct emissions caused by combustion processes. Therefore, this product is a useful indicator of VOC emissions. It is generated with an improved version of the BIRA-IASB scientific retrieval algorithm relying on the Differential Optical Absorption Spectroscopy (DOAS) approach. Among the algorithmic updates, the DOAS fit now includes corrections to mitigate the impact of spectral misfits caused by scene brightness inhomogeneity and strong NO2 absorption. The product comes along with a full error characterization, which allows providing random and systematic error estimates for every observation. Systematic errors are typically in the range of 1–3 × 1014 molec/cm2 (~30–70 % in emission regimes). Random errors are larger (> 6 × 1014 molec/cm2) but can be reduced by averaging observations in space and/or time. Benefiting from a high signal-to-noise ratio and a large number of small-size observations, TROPOMI provides glyoxal tropospheric column fields with an unprecedented level of details. Using the same retrieval algorithmic baseline, glyoxal column data sets are also generated from the Ozone Monitoring Instrument (OMI) on Aura and from the Global Ozone Monitoring Experiment-2 (GOME-2) on board of Metop-A and Metop-B. Those four data sets are intercompared over large-scale regions worldwide and show a high level of consistency. The satellite glyoxal columns are also compared to glyoxal columns retrieved from ground-based Multi-Axis (MAX-) DOAS instruments at nine stations in Asia and Europe. In general, the satellite and MAX-DOAS instruments provide consistent glyoxal columns both in terms of absolute values and variability. Correlation coefficients between TROPOMI and MAX-DOAS glyoxal columns range between 0.61 and 0.87. The correlation is only poorer at one mid-latitude station, where satellite data appears low biased during wintertime. The mean absolute glyoxal columns from satellite and MAX-DOAS generally agree well for low/moderate columns with differences less than 1 × 1014 molec/cm2. A larger bias is identified at two sites where the MAX-DOAS columns are very large. Despite this systematic bias, the consistency of the satellite and MAX-DOAS glyoxal seasonal variability is excellent.
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