Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area
文献类型：期刊论文
| 作者 | Tian, XP; Gao, ZQ
|
| 刊名 | ATMOSPHERE
 |
| 出版日期 | 2019-09 |
| 卷号 | 10期号:9页码:548 |
| 关键词 | MODIS aerosol product Collection 6.1 heavy aerosol loading AERONET |
| DOI | 10.3390/atmos10090548 |
| 产权排序 | [Tian, Xinpeng ; Gao, Zhiqiang] Chinese Acad Sci, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China ; [Tian, Xinpeng ; Gao, Zhiqiang] Chinese Acad Sci, Shandong Key Lab Coastal Environm Proc, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China |
| 文献子类 | Article |
| 英文摘要 | The aim of this study is to evaluate the accuracy of MODerate resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) products over heavy aerosol loading areas. For this analysis, the Terra-MODIS Collection 6.1 (C6.1) Dark Target (DT), Deep Blue (DB) and the combined DT/DB AOD products for the years 2000-2016 are used. These products are validated using AErosol RObotic NETwork (AERONET) data from twenty-three ground sites situated in high aerosol loading areas and with available measurements at least 500 days. The results show that the numbers of collections (N) of DB and DT/DB retrievals were much higher than that of DT, which was mainly caused by unavailable retrieval of DT in bright reflecting surface and heavy pollution conditions. The percentage falling within the expected error (PWE) of the DT retrievals (45.6%) is lower than that for the DB (53.4%) and DT/DB (53.1%) retrievals. The DB retrievals have 5.3% less average overestimation, and 25.7% higher match ratio than DT/DB retrievals. It is found that the current merged aerosol algorithm will miss some cases if it is determined only on the basis of normalized difference vegetation index. As the AOD increases, the value of PWE of the three products decreases significantly; the undervaluation is suppressed, and the overestimation is aggravated. The retrieval accuracy shows distinct seasonality: the PWE is largest in autumn or winter, and smallest in summer. The most severe overestimation and underestimation occurred in the summer. Moreover, the DT, DB and DT/DB products over different land cover types still exhibit obvious deviations. In urban areas, the PWE of DB product (52.6%) is higher than for the DT/DB (46.3%) and DT (25.2%) products. The DT retrievals perform poorly over the barren or sparsely vegetated area (N = 52). However, the performance of three products is similar over vegetated area. On the whole, the DB product performs better than the DT product over the heavy aerosol loading area. |
| WOS关键词 | OPTICAL DEPTH ; RETRIEVAL ALGORITHMS ; AIR-POLLUTION ; CLIMATE ; AERONET ; LAND ; ATMOSPHERE |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000489177300070 |
| 资助机构 | National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China [41876107] ; NSFC-Shandong joint fund project [U1706219] ; Basic Special Program of Ministry of Science and Technology [2014FY210600] ; Aoshan Science and Technology Innovation Program of Qingdao National Laboratory for Marine Science and Technology [2016ASKJ02] |
| 源URL | [http://ir.yic.ac.cn/handle/133337/24861]  |
| 专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; 2.Chinese Acad Sci, Shandong Key Lab Coastal Environm Proc, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tian, XP,Gao, ZQ. Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area[J]. ATMOSPHERE,2019,10(9):548. |
| APA | Tian, XP,&Gao, ZQ.(2019).Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area.ATMOSPHERE,10(9),548. |
| MLA | Tian, XP,et al."Validation and Accuracy Assessment of MODIS C6.1 Aerosol Products over the Heavy Aerosol Loading Area".ATMOSPHERE 10.9(2019):548. |
入库方式： OAI收割
来源：烟台海岸带研究所
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