Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-19-259-2019 |
Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals | |
Shi, Yingxi R.1,3; Levy, Robert C.1; Eck, Thomas F.1,3; Fisher, Brad1,2; Mattoo, Shana1,2; Remer, Lorraine A.4; Slutsker, Ilya1,2; Zhang, Jianglong5 | |
2019-01-08 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2019 |
卷号 | 19期号:1页码:259-274 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The Indonesian fire and smoke event of 2015 was an extreme episode that affected public health and caused severe economic and environmental damage. The MODIS Dark Target (DT) aerosol algorithm, developed for global applications, significantly underestimated regional aerosol optical depth (AOD) during this episode. The larger-than-global-averaged uncertainties in the DT product over this event were due to both an overly zealous set of masks that mistook heavy smoke plumes for clouds and/or inland water, and also an aerosol model developed for generic global aerosol conditions. Using Aerosol Robotic Network (AERONET) Version 3 sky inversions of local AERONET stations, we created a specific aerosol model for the extreme event. Thus, using this new less-absorbing aerosol model, cloud masking based on results of the MODIS cloud optical properties algorithm, and relaxed thresholds on both inland water tests and upper limits of the AOD retrieval, we created a research algorithm and applied it to 80 appropriate MODIS granules during the event. Collocating and comparing with AERONET AOD shows that the research algorithm doubles the number of MODIS retrievals greater than 1.0, while also significantly improving agreement with AERONET. The final results show that the operational DT algorithm had missed approximately 0.22 of the regional mean AOD, but as much as AOD D 3.0 for individual 0.5 degrees grid boxes. This amount of missing AOD can skew the perception of the severity of the event, affect estimates of regional aerosol forcing, and alter aerosol modeling and forecasting that assimilate MODIS aerosol data products. These results will influence the future development of the global DT aerosol algorithm. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000455496000002 |
WOS关键词 | FINE PARTICULATE MATTER ; OPTICAL DEPTH ; A-TRAIN ; AIR-QUALITY ; PRODUCTS ; ALGORITHM ; CLOUDS ; ASSIMILATION ; SENSITIVITY ; PARTICLES |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; 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/28365 |
专题 | 地球科学 |
作者单位 | 1.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 2.SSAI, Lanham, MD USA; 3.USRA, GESTAR, Columbia, MD 21046 USA; 4.UMBC JCET, Baltimore, MD USA; 5.UND, Grand Forks, ND USA |
推荐引用方式 GB/T 7714 | Shi, Yingxi R.,Levy, Robert C.,Eck, Thomas F.,et al. Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(1):259-274. |
APA | Shi, Yingxi R..,Levy, Robert C..,Eck, Thomas F..,Fisher, Brad.,Mattoo, Shana.,...&Zhang, Jianglong.(2019).Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(1),259-274. |
MLA | Shi, Yingxi R.,et al."Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.1(2019):259-274. |
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