第 1 版 NOAA-20/OMPS Nadir Mapper 总柱 SO2 产品:延续 NASA 长期全球数据记录

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Can Li, Nickolay A. Krotkov, Joanna Joiner, Vitali Fioletov, Chris McLinden, Debora Griffin, Peter J. T. Leonard, Simon Carn, Colin Seftor, Alexander Vasilkov
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引用次数: 0

摘要

摘要近二十年来,NASA Aura 航天器(2004 年发射)上的臭氧监测仪器(OMI)和 NASA/NOAA Suomi 国家极轨伙伴关系(SNPP)卫星(2011 年发射)上的臭氧测绘和剖面仪套件(OMPS)一直在对人为活动和火山活动产生的二氧化硫柱密度进行全球监测。在此,我们介绍第一版 NOAA-20 (N20)/OMPS SO2 产品,旨在扩展长期气候数据记录。为实现这一目标,我们在 N20/OMPS 中采用了主成分分析(PCA)检索技术,该技术也用于 OMI 和 SNPP/OMPS SO2 产品。对于火山 SO2 的检索,N20 和 SNPP/OMPS 的算法完全相同,并能对 2018 年基拉韦厄火山爆发和 2019 年雷科克火山爆发等事件产生一致的检索结果。对于人为二氧化硫检索,考虑到与 SNPP/OMPS 相比,N20/OMPS 的空间分辨率更高,信噪比更低,因此为 N20/OMPS 定制了算法。在背景区域,N20/OMPS 二氧化硫斜柱密度(SCD)显示出相对较小的偏差,与 SNPP/OMPS 的检索噪声相当(在聚集到相同空间分辨率后),并且在 2018-2023 年期间具有显著的稳定性,基本上没有漂移。在主要人为污染源区域,两种 OMPS 回收数据总体上相关性良好,但 N20/OMPS SO2 的偏差较低,尤其是在印度和中东地区,平均差异达到约 20%。造成这些差异的原因尚不完全清楚,但部分是由于算法差异造成的。在脱气火山上发现了较好的一致性(典型差异约为 10-15%)。根据 N20/OMPS 检索推断的大型点源二氧化硫排放量与根据 OMI、SNPP/OMPS 和 TROPOspheric Monitoring Instrument (TROPOMI) 推算的排放量非常一致,相关系数为 0.98,总体差异为 10%。估计排放量及其不确定性之间的比率有助于了解不同卫星仪器探测和量化二氧化硫来源的能力。在所有四个传感器中,TROPOMI 的比率最高,N20/OMPS 的比率略高于 OMI,大大高于 SNPP/OMPS。总之,我们的结果表明,第一版 N20/OMPS SO2 产品将成功延续 OMI 和 SNPP/OMPS SO2 数据的长期记录。目前正在进行的努力将进一步加强不同仪器之间检索的一致性,从而促进跨多个卫星的、多年的、一致的全球二氧化硫数据集的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Version 1 NOAA-20/OMPS Nadir Mapper Total Column SO2 Product: Continuation of NASA Long-term Global Data Record
Abstract. For nearly two decades, the Ozone Monitoring Instrument (OMI) aboard the NASA Aura spacecraft (launched in 2004) and the Ozone Mapping and Profiler Suite (OMPS) aboard the NASA/NOAA Suomi National Polar-orbiting Partnership (SNPP) satellite (launched in 2011) have been providing global monitoring of SO2 column densities from both anthropogenic and volcanic activities. Here, we describe the version 1 NOAA-20 (N20)/OMPS SO2 product, aimed at extending the long-term climate data record. To achieve this goal, we apply a principal component analysis (PCA) retrieval technique, also used for the OMI and SNPP/OMPS SO2 products, to N20/OMPS. For volcanic SO2 retrievals, the algorithm is identical between N20 and SNPP/OMPS and produces consistent retrievals for eruptions such as the 2018 Kilauea and 2019 Raikoke. For anthropogenic SO2 retrievals, the algorithm has been customized for N20/OMPS, considering its greater spatial resolution and reduced signal-to-noise ratio as compared with SNPP/OMPS. Over background areas, N20/OMPS SO2 slant column densities (SCD) show relatively small biases, comparable retrieval noise with SNPP/OMPS (after aggregation to the same spatial resolution), and remarkable stability with essentially no drift during 2018–2023. Over major anthropogenic source areas, the two OMPS retrievals are generally well-correlated but N20/OMPS SO2 is biased low especially for India and the Middle East, where the differences reach ~20 % on average. The reasons for these differences are not fully understood but are partly due to algorithmic differences. Better agreement (typical differences of ~10–15 %) is found over degassing volcanoes. SO2 emissions from large point sources, inferred from N20/OMPS retrievals, agree well with those based on OMI, SNPP/OMPS, and TROPOspheric Monitoring Instrument (TROPOMI), with correlation coefficients > 0.98 and overall differences < 10 %. The ratios between the estimated emissions and their uncertainties offer insights into the ability of different satellite instruments to detect and quantify SO2 sources. While TROPOMI has the highest ratios among all four sensors, ratios from N20/OMPS are slightly greater than OMI and substantially greater than SNPP/OMPS. Overall, our results suggest that the version 1 N20/OMPS SO2 product will successfully continue the long-term OMI and SNPP/OMPS SO2 data records. Efforts currently underway will further enhance the consistency of retrievals between different instruments, facilitating the development of multi-decade, coherent global SO2 datasets across multiple satellites.
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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