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VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China

机译:VIIRS环境数据记录和深蓝色气溶胶产品:2013年至2018年中国的验证,比较和时空变化

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摘要

Recently, the Deep Blue (DB) algorithm has been successfully applied to the Visible Infrared Imaging Radiometer Suite (VIIRS) to expend the long-term aerosol records over land in conjunction with the Environmental Data Record (EDR) product. However, the overall accuracy and uncertainty of VIIRS DB and EDR Aerosol Optical Depth (AOD) products are still unclear in China, in particular, due to the sparse distribution of ground observation stations. Therefore, the objective of this study is to evaluate and compare VIIRS EDR and DB AOD retrievals against ground measurements collected from both Aerosol Robotic Network (AERONET) and Chinese Sun-sky radiometer Observation Network (SONET) in China from 2013 to 2018. Results suggest that both EDR and DB products have a significant refinement after quality assurance (QA) controlling. DB (QA = Best) performs best with high correction (R = 0.92), and up to 80.32% of AOD matches falling within the expected error (EE), while approximately 46% of EDR (QA = Best) AOD retrievals are overestimated. However, EDR has a higher retrieval frequency than DB over most regions of China, except for the arid and semi-arid areas such as the Northwest. Generally, despite some exceptions, both EDR and DB products perform relatively poorly in summer for all statistics. Furthermore, the error analysis explains that DB is less sensitive to varying air pollution levels, diverse aerosol types, and different surface conditions, while the pattern of EDR is complicated. In addition, due to the common algorithmic heritage, both VIIRS EDR and MODIS DT products only show good matching over dark surfaces, while VIIRS DB and MODIS DB algorithms have good performance over both dark and bright surfaces. Finally, both EDR and DB products have shown significant downward AOD trends equal to-0.0008 per year (p 0.01) in China during the last past six years, especially for three typical urban agglomerations. These evaluation results are expected to provide appropriate guidance for the application of VIIRS aerosol products in China.
机译:最近,深蓝色(DB)算法已成功应用于可见红外成像辐射计套件(VIIR),以结合环境数据记录(EDR)产品的长期气溶胶记录。然而,VIIRS DB和EDR气溶胶光学深度(AOD)产品的总体准确性和不确定性仍然不清楚,特别是由于地面观察站的稀疏分布稀释。因此,本研究的目的是将Viirs EDR和DB AOD检索评估,从2013年到2018年在中国的中国太阳能机器人网络(AERONET)和中国太阳天空辐射计观察网络(SONET)收集的地面测量。结果表明EDR和DB产品均在质量保证(QA)控制后具有显着的细化。 DB(QA = BEST)最佳地执行高校正(r = 0.92),最高可达80.32%的AOD匹配,落在预期的误差(EE)内,而大约46%的EDR(QA =最佳)AOD检索被高估。然而,除了在西北等地区的干旱和半干旱地区,EDR的检索频率比DB更高。通常,尽管有一些例外情况,EDR和DB产品都在夏季表现相对较差的所有统计数据。此外,误差分析解释说,DB对不同的空气污染水平,不同的气溶胶类型和不同的表面条件不太敏感,而EDR的模式是复杂的。此外,由于常见的算法遗产,VIIRS EDR和MODIS DT产品均仅在深色表面上显示出良好的匹配,而VIIRS DB和MODIS DB算法在深色和明亮的表面上具有良好的性能。最后,在过去六年中,EDR和DB产品两者和DB产品都显示出大幅下行AOD趋势等于-0.0008(P <0.01),特别是对于三个典型的城市集群。预计这些评估结果将为中国在中国应用viirs气溶胶产品提供适当的指导。

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  • 来源
    《Atmospheric environment》 |2021年第4期|118265.1-118265.18|共18页
  • 作者单位

    Huazhong Agr Univ Coll Publ Adm Wuhan Peoples R China;

    China Univ Geosci Sch Geog & Informat Engn Wuhan Peoples R China;

    Chinese Acad Sci Aerosp Informat Res Inst State Environm Protect Key Lab Satellite Remote S Beijing Peoples R China;

    China Univ Geosci Sch Geog & Informat Engn Wuhan Peoples R China;

    Shandong Univ Sci & Technol Coll Geodesy & Geomat Qingdao Peoples R China;

    Zhejiang Univ Coll Opt Sci & Engn Int Res Ctr Adv Photon State Key Lab Modern Opt Instrumentat Hangzhou Peoples R China;

    Lanzhou Univ Coll Earth & Environm Sci Lanzhou Peoples R China;

    China Univ Geosci Sch Geog & Informat Engn Wuhan Peoples R China;

    Wuhan Univ Sch Resource & Environm Sci Wuhan Peoples R China;

    Univ Maryland Dept Atmospher & Ocean Sci Earth Syst Sci Interdisciplinary Ctr College Pk MD 20742 USA;

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