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Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET

机译:使用CARSNET和AERONET在中国对MODIS C6和C6.1深色目标气溶胶产品进行长期验证

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摘要

This study provided a comprehensive evaluation of the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 006 (C6) and 061 (C6.1) Dark Target (DT) 10 km aerosol optical depth (AOD) over China during 2002-2014. Considering that sparse Aerosol Robotic Network (AERONET) sites are available in China, 18 sites from China Aerosol Remote Sensing Network (CARSNET) were also used to conduct this validation. The results showed that C6.1 DT outperform C6 with 59.03% of the retrievals falling within the expected error (EE) compared to C6 (54.94%). Meanwhile, C6.1 DT achieved a reduced RMSE of 0.171, a higher R of 0.901 and a bias closer to 0 relative to C6 (RMSE: 0.185; R: 0.890). When the validation was conducted over different underlying surfaces, C6 DT overestimated AOD by 19.8%, with only 45.01% of the retrievals within the EE over urban sites, whereas C6.1 showed clear improvements, with 11.8% more data falling within the EE. Hardly any improvement was observed in C6.1 over forest, cropland, and grassland sites. The C6.1 DT exhibited more significant improvements over Beijing area and northern China than southern China. The highest retrieval accuracy of 61.05% among the four Beijing sites was achieved at Beijing_CARSNET, but the improvements were lower than other Beijing sites. The extent of the improvements was positively correlated with the percentage of urban pixels over the sites in Beijing and northern China in terms of the retrieval accuracy. Moreover, C6.1 DT had a little effect on improvements over southern China and showed reduced collocation over coastal cities. (C) 2019 Elsevier Ltd. All rights reserved.
机译:这项研究对2002-2014年中国中分辨率成像光谱仪(MODIS)006(C6)和061(C6.1)暗靶(DT)10 km气溶胶光学深度(AOD)进行了全面评估。考虑到中国尚有稀疏的气溶胶机器人网络(AERONET)站点,来自中国气溶胶遥感网络(CARSNET)的18个站点也用于进行此验证。结果显示,与C6(54.94%)相比,C6.1 DT胜过C6,其中59.03%的检索结果在预期误差(EE)内。同时,C6.1 DT的RMSE降低了0.171,R的提高了0.901,相对于C6的偏差更接近于0(RMSE:0.185; R:0.890)。当在不同的基础表面上进行验证时,C6 DT将AOD高估了19.8%,其中EE在市区范围内的检索量仅占45.01%,而C6.1则显示出明显的改善,EE内的数据增加了11.8%。与森林,农田和草地相比,C6.1几乎没有任何改善。与北京地区相比,C6.1 DT在北京地区和中国北方地区表现出更大的进步。在Beijing_CARSNET中,四个北京站点的检索精度最高,达到61.05%,但改进程度低于其他北京站点。就检索精度而言,改善的程度与北京和中国北方站点上城市像素的百分比呈正相关。此外,C6.1 DT对中国南部地区的改善影响不大,并且在沿海城市的配置减少。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Chemosphere》 |2019年第12期|124268.1-124268.11|共11页
  • 作者单位

    Chinese Acad Meteorol Sci State Key Lab Severe Weather LASW Inst Atmospher Composit Beijing 100081 Peoples R China;

    Henan Polytech Univ Sch Surveying & Land Informat Engn Jiaozuo 454000 Henan Peoples R China;

    Chinese Acad Meteorol Sci State Key Lab Severe Weather LASW Inst Atmospher Composit Beijing 100081 Peoples R China|Henan Polytech Univ Sch Surveying & Land Informat Engn Jiaozuo 454000 Henan Peoples R China;

    Chinese Acad Sci Lab Middle Atmosphere & Global Environm Observat Inst Atmospher Phys Beijing 100029 Peoples R China|Univ Chinese Acad Sci Sch Geosci Beijing 100049 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    MODIS collection 061; CARSNET; AERONET; Dark target; Validation; China;

    机译:MODIS集合061;CARSNET;航空网;黑暗目标验证;中国;

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