globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2020.117548
论文题名:
Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging
作者: Wang Y.; Yuan Q.; Shen H.; Zheng L.; Zhang L.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 230
语种: 英语
学科: AOD ; Asia ; Evaluation and comparison ; Merging ; MODIS and VIIRS ; Sub-grid weighting
中文摘要: The first purpose of this paper is to evaluate and compare four aerosol optical depth (AOD) products from the MODerate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) during 2013–2018 in Asia. In our study, a total of 81 AERONET sites are considered and land cover maps are utilized as well. The results show that the AOD product of deep blue from VIIRS (DB_V) achieves the best performance in the study areas, with the R of 0.91 and the RMSE of 0.14. Meanwhile, the deviations for the AOD products of deep blue from MODIS (DB_M), dark target (DT), DB_V, and environmental data record (EDR) periodically fluctuate with different levels as time moves forward. In general, DB_V overcomes others with the smallest overall deviation, while the largest positive and negative deviations are observed in DT and EDR, respectively. The performance of each AOD product is different in the regions with diverse land cover types. Especially, all AOD products will generally underestimate the AOD values in forest; DB_V performs better than DB_M in croplands and urban, while the overestimation of DB_V is larger than that of DB_M in arid lands. The distribution of high AOD values for DT and EDR shows difference in four seasons, which is dominated by multiple factors. With regard to DB_M and DB_V, apart from the seasonal variations, the high AOD values also distribute in arid lands from March to August. For the coverage of valid AOD values, the annual AOD completeness of DB_M and DB_V tends to be large in the Southwest (arid lands). As for DT and EDR, the large annual AOD completeness principally distributes in India, where the primary land cover type is croplands. Next, a novel grid-based merging framework (SL-SGW) is proposed to acquire the AOD product with the best performance and the largest AOD completeness of DB_M, DT, DB_V, and EDR as much as possible. The experiment results (2017–2018) show that the R and the RMSE for the merged AOD product are 0.904 and 0.13, respectively. It's believed that the merging framework could effectively absorb the strengths of DB_M, DT, DB_V, and EDR. In the meantime, the underestimations of the AOD values for all AOD products in forest and the overestimations for DB_M and DB_V in arid lands are both mitigated after merging. The AOD completeness of the merged exceeds those of other AOD products for all land cover types, particularly in croplands and urban. © 2020 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160346
Appears in Collections:气候变化与战略

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作者单位: School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei 430079, China; School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei 430079, China; The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China; The Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan, Hubei 430079, China; The Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan, Hubei 430079, China; The Collaborative Innovation Center for Geospatial Technology, Wuhan, Hubei 430079, China

Recommended Citation:
Wang Y.,Yuan Q.,Shen H.,et al. Investigating multiple aerosol optical depth products from MODIS and VIIRS over Asia: Evaluation, comparison, and merging[J]. Atmospheric Environment,2020-01-01,230
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