气候变化领域集成服务门户(CCPortal): Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals

CCPortal

DOI	10.5194/acp-19-259-2019
	Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals
	Shi Y.R.; Levy R.C.; Eck T.F.; Fisher B.; Mattoo S.; Remer L.A.; Slutsker I.; Zhang J.
发表日期	2019
ISSN	16807316
起始页码	259
结束页码	274
卷号	19 期号:1
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 3.0 for individual 0.5° 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. © Author(s) 2019.All Rights Reserved.
语种	英语
scopus关键词	AERONET; aerosol; algorithm; fire; optical depth; smoke; Indonesia
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144738
作者单位	NASA Goddard Space Flight Center, Greenbelt, MD, United States; SSAI, Lanham, MD, United States; GESTAR, USRA, Columbia, MD, United States; UMBC/JCET, Baltimore, MD, United States; UND, Grand Forks, ND, United States
推荐引用方式 GB/T 7714	Shi Y.R.,Levy R.C.,Eck T.F.,et al. Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals[J],2019,19(1).
APA	Shi Y.R..,Levy R.C..,Eck T.F..,Fisher B..,Mattoo S..,...&Zhang J..(2019).Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals.Atmospheric Chemistry and Physics,19(1).
MLA	Shi Y.R.,et al."Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals".Atmospheric Chemistry and Physics 19.1(2019).