Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD026355 |
The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions | |
Wu, Yerong1; de Graaf, Martin1,2; Menenti, Massimo1,3 | |
2017-08-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:16 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; Peoples R China |
英文摘要 | Global quantitative aerosol information has been derived from MODerate Resolution Imaging SpectroRadiometer (MODIS) observations for decades since early 2000 and widely used for air quality and climate change research. However, the operational MODIS Aerosol Optical Depth (AOD) products Collection 6 (C6) can still be biased, because of uncertainty in assumed aerosol optical properties and aerosol vertical distribution. This study investigates the impact of aerosol vertical distribution on the AOD retrieval. We developed a new algorithm by considering dynamic vertical profiles, which is an adaptation of MODIS C6 Dark Target (C6_DT) algorithm over land. The new algorithm makes use of the aerosol vertical profile extracted from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) measurements to generate an accurate top of the atmosphere (TOA) reflectance for the AOD retrieval, where the profile is assumed to be a single layer and represented as a Gaussian function with the mean height as single variable. To test the impact, a comparison was made between MODIS DT and Aerosol Robotic Network (AERONET) AOD, over dust and smoke regions. The results show that the aerosol vertical distribution has a strong impact on the AOD retrieval. The assumed aerosol layers close to the ground can negatively bias the retrievals in C6_DT. Regarding the evaluated smoke and dust layers, the new algorithm can improve the retrieval by reducing the negative biases by 3-5%. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000416382800024 |
WOS关键词 | SURFACE BIDIRECTIONAL REFLECTANCE ; SENSITIVITY-ANALYSIS ; A-TRAIN ; LAND ; SATELLITE ; OCEAN ; ALGORITHM ; PRODUCTS ; VALIDATION ; SYSTEM |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33314 |
专题 | 气候变化 |
作者单位 | 1.Delft Univ Technol, Dept Geosci & Remote Sensing, Delft, Netherlands; 2.Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands; 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Yerong,de Graaf, Martin,Menenti, Massimo. The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(16). |
APA | Wu, Yerong,de Graaf, Martin,&Menenti, Massimo.(2017).The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(16). |
MLA | Wu, Yerong,et al."The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.16(2017). |
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