利用TROPOMI改进对船舶二氧化氮的监测:在COVID-19大流行期间减少欧洲海域的氮氧化物排放

T. Riess, K. F. Boersma, J. Vliet, W. Peters, M. Sneep, H. Eskes, J. Geffen
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引用次数: 13

摘要

摘要TROPOMI对流层二氧化氮柱的测量提供了公海船舶排放空气污染的有力信息。这些信息可能有助于当局确定船舶是否符合日益严格的氮氧化物排放法规。我们发现,通过最近对TROPOMI云检索的升级和最优数据选择,信息质量得到了进一步提高。研究表明,TROPOMI具有优越的空间分辨率,可以检测到从希腊附近的爱琴海到斯堪的纳维亚半岛的斯卡格拉克的几条NO2污染通道,这些通道以前没有被其他卫星仪器检测到。此外,我们还证明,在太阳闪烁的条件下,TROPOMI对海洋边界层NO2的垂直灵敏度提高了60%。当海面风速较低,但略高于零(±2米/秒)时,阳光闪烁的好处在晴天情况下最为突出。除了空间分辨率和太阳闪烁,我们首次研究了最近改进的云算法对TROPOMI NO2检索质量的影响,包括海上和陆地。我们发现新的FRESCO+宽算法导致50 hPa的云压降低,纠正了已知的高偏差,并产生了1-4·1015分子/cm2的更高的NO2检索柱,从而至少部分地纠正了之前报道的TROPOMI NO2产品的低偏差。通过在标准和FRESCO+广泛测试检索的4个可用时间段上训练人工神经网络,我们开发了一个跨越2019年和2020年的历史性、一致的TROPOMI NO2数据集。与OMI的共采样测量结果相比,这个改进的数据集显示出更强(35 - 75%)和更清晰(10 - 35%)的运输NO2信号。我们应用改进的数据集调查了COVID-19大流行对欧洲海域船舶二氧化氮污染的影响,并发现有迹象表明,在大流行期间,船舶的氮氧化物排放量减少了20 - 25%。船舶二氧化氮污染的减少始于2020年3月至4月,这与从AIS数据推断的航运活动变化一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved monitoring of shipping NO2 with TROPOMI: decreasing NOx emissions in European seas during the COVID-19 pandemic
Abstract. TROPOMI measurements of tropospheric NO2 columns provide powerful information on emissions of air pollution by ships on open sea. This information is potentially useful for authorities to help determine the (non-)compliance of ships with increasingly stringent NOx emission regulations. We find that the information quality is improved further by recent upgrades in the TROPOMI cloud retrieval and an optimal data selection. We show that the superior spatial resolution of TROPOMI allows the detection of several lanes of NO2 pollution ranging from the Aegean Sea near Greece to the Skagerrak in Scandinavia, which have not been detected with other satellite instruments before. Additionally, we demonstrate that under conditions of sun glint TROPOMI's vertical sensitivity to NO2 in the marine boundary layer increases by up to 60 %. The benefits of sun glint are most prominent under clear-sky situations when sea surface winds are low, but slightly above zero (±2 m/s). Beyond spatial resolution and sun glint, we examine for the first time the impact of the recently improved cloud algorithm on the TROPOMI NO2 retrieval quality, both over sea and over land. We find that the new FRESCO+wide algorithm leads to 50 hPa lower cloud pressures, correcting a known high bias, and produces 1–4·1015 molec/cm2 higher retrieved NO2 columns, thereby at least partially correcting for the previously reported low bias in the TROPOMI NO2 product. By training an artificial neural network on the 4 available periods with standard and FRESCO+wide test-retrievals, we develop a historic, consistent TROPOMI NO2 data set spanning the years 2019 and 2020. This improved data set shows stronger (35–75 %) and sharper (10–35 %) shipping NO2 signals compared to co-sampled measurements from OMI. We apply our improved data set to investigate the impact of the COVID-19 pandemic on ship NO2 pollution over European seas and find indications that NOx emissions from ships reduced by 20–25 % during the pandemic. The reductions in ship NO2 pollution start in March–April 2020, in line with changes in shipping activity inferred from AIS data.
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