Continuation of long-term global SO 2 pollution monitoring from OMI to OMPS
Continuation of long-term global SO 2 pollution monitoring from OMI to OMPS
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DOI：
10.5194/amt-10-1495-2017
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发表时间：
2016-11
影响因子：
3.8
通讯作者：
Yan Zhang;Can Li;N. Krotkov;J. Joiner;V. Fioletov;C. McLinden
中科院分区：
文献类型：
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作者：
Yan Zhang;Can Li;N. Krotkov;J. Joiner;V. Fioletov;C. McLinden
近20年来，卫星遥感污染相关物种的进展使星载观测在大气化学研究和空气质量管理中日益重要。先进的紫外-可见光谱仪，如美国宇航局地球观测系统（EOS） Aura卫星上的臭氧监测仪器（OMI），促进了这一进展，并继续使用新仪器，如美国宇航局- noaa Suomi国家极轨合作伙伴关系（SNPP）卫星上的臭氧测绘和剖面仪套件（OMPS）。在这项研究中，我们证明，利用我们最先进的主成分分析（PCA）检索技术，可以利用当前和未来的OMPS仪器继续OMI开始的长期全球二氧化硫污染监测，这些仪器将在NOAA联合极地卫星系统（JPSS） 1、2、3和4颗卫星上飞行，此外还有SNPP，这些仪器的检索结果具有非常好的一致性。由于OMI SO2数据主要用于(1)每天提供空气污染和远程运输的区域背景，(2)在数据平均后提供每年的点排放源信息，因此我们在OMI - omps比较中重点关注这两个方面。对中国东部、墨西哥和南非这三个地区4年（2012-2015年）的检索结果进行了比较。一般来说，比较显示出相对较高的相关性（r = 0）。（79 ~ 0.96），接近统一回归斜率（0.76 ~ 0.97）。OMI和OMPS的年平均SO2负荷差异很小（南非< 0.03杜布森单位（DU），中国东部高达0.1 DU）。我们还发现了非常好的相关性（r = 0）。2012-2015年三区年平均SO2在OMI和OMPS之间的空间分布差异（92-0.97）。在2012-2015年期间，用这两种仪器计算的~ 400个二氧化硫源的排放量也显示出非常好的相关性（r = ~ 0.9）。omps检测到的SO2点源排放量略低于OMI，但随着源强度的增加，OMI与omps的差异逐渐减小。各区域的OMI-OMPS二氧化硫质量在逐像素（每日）的基础上的差异可以显示出实质性的差异。这两种仪器在< ~ 50%的日子里的空间相关系数为0.7或更高。值得注意的是，在没有对OMI或OMPS辐射数据进行任何显式调整的情况下，实现了一致的SO2检索，并且通过引入比目前使用的更全面的雅可比查找表，检索协议可能会进一步改进。
Over the past 20 years, advances in satellite remote sensing of pollution-relevant species have made space-borne observations an increasingly important part of atmospheric chemistry research and air quality management. This progress has been facilitated by advanced UV–vis spectrometers, such as the Ozone Monitoring Instrument (OMI) on board the NASA Earth Observing System (EOS) Aura satellite, and continues with new instruments, such as the Ozone Mapping and Profiler Suite (OMPS) on board the NASA–NOAA Suomi National Polar-orbiting Partnership (SNPP) satellite. In this study, we demonstrate that it is possible, using our state-of-the-art principal component analysis (PCA) retrieval technique, to continue the long-term global SO2 pollution monitoring started by OMI with the current and future OMPS instruments that will fly on the NOAA Joint Polar Satellite System (JPSS) 1, 2, 3, and 4 satellites in addition to SNPP, with a very good consistency of retrievals from these instruments. Since OMI SO2 data have been primarily used for (1) providing regional context on air pollution and long-range transport on a daily basis and (2) providing information on point emission sources on an annual basis after data averaging, we focused on these two aspects in our OMI–OMPS comparisons. Four years of retrievals (2012–2015) have been compared for three regions: eastern China, Mexico, and South Africa. In general, the comparisons show relatively high correlations (r = 0. 79–0.96) of daily regional averaged SO2 mass between the two instruments and near-unity regression slopes (0.76–0.97). The annual averaged SO2 loading differences between OMI and OMPS are small (< 0.03 Dobson unit (DU) over South Africa and up to 0.1 DU over eastern China). We also found a very good correlation (r = 0. 92–0.97) in the spatial distribution of annual averaged SO2 between OMI and OMPS over the three regions during 2012–2015. The emissions from ∼ 400 SO2 sources calculated with the two instruments also show a very good correlation (r = ∼ 0.9) in each year during 2012–2015. OMPS-detected SO2 point source emissions are slightly lower than those from OMI, but OMI–OMPS differences decrease with increasing strength of source. The OMI–OMPS SO2 mass differences on a pixel by pixel (daily) basis in each region can show substantial differences. The two instruments have a spatial correlation coefficient of 0.7 or better on < ∼ 50 % of the days. It is worth noting that consistent SO2 retrievals were achieved without any explicit adjustments to OMI or OMPS radiance data and that the retrieval agreement may be further improved by introducing a more comprehensive Jacobian lookup table than is currently used.