气候变化领域集成服务门户(CCPortal): Comparison of three different methodologies for the identification of high atmospheric turbidity episodes

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DOI	10.1016/j.atmosres.2019.104835
	Comparison of three different methodologies for the identification of high atmospheric turbidity episodes
	Mateos D.; Cachorro V.E.; Velasco-Merino C.; O'Neill N.T.; Burgos M.A.; Gonzalez R.; Toledano C.; Herreras M.; Calle A.; de Frutos A.M.
发表日期	2020
ISSN	0169-8095
卷号	237
英文摘要	The identification and characterization of High Atmospheric Turbidity (HAT) episodes is a key objective of global aerosol monitoring. This study presents a comparison of three different methodologies that were used to identify HAT episodes in the north-central Iberian Peninsula. The first methodology (named C&S inventory) is based on columnar aerosol optical depth (AOD from the Aerosol Robotic Network, AERONET) and surface particulate matter concentrations (PMx from the European Monitoring and Evaluation Programme, EMEP) as well as ancillary information. Another methodology (named SPR) is based on PM surface concentrations levels and ancillary information. Both methods are carefully reviewed by human observers. A third method, based only on fine and coarse mode values of AOD was also analysed. This method (the SDA or Spectral Deconvolution Algorithm) is found to be a good operational candidate for automating the identification of HAT episodes. The three methods allow for the identification of mineral desert dust (coarse type ‘D’) aerosols and aerosols of fine type, ‘A’ (i.e. biomass burning or polluted aerosols): their mixture, categorized as ‘MD’ and ‘MA’ classes (depending of the prevailing ‘D’ or ‘A’ type) is only identified in the C&S and SDA inventories. The three inventories show about 60% coincidence across a 2005–2014 reference period. When the C&S and SDA inventories are compared, the agreement is very high if columnar aerosol data is available: >90% for desert aerosol type and >70% for fine aerosol type. The comparative study of these three aerosol inventories was motivated by the need to automate existing methodologies. © 2019
英文关键词	Biomass burning urban industrial; Coarse and fine modes; Columnar and surface aerosols; Desert dust; High turbidity episodes
学科领域	C (programming language); Deconvolution; Dust; Landforms; Petroleum reservoir evaluation; Turbidity; Aerosol optical depths; Aerosol robotic networks; Biomass-burning; Coarse and fine modes; Desert dust; European Monitoring and Evaluation Programme; High turbidity; Spectral deconvolution; Aerosols; AERONET; aerosol; biomass burning; comparative study; concentration (composition); dust; identification method; optical depth; particle size; turbidity; Iberian Peninsula
语种	英语
scopus关键词	C (programming language); Deconvolution; Dust; Landforms; Petroleum reservoir evaluation; Turbidity; Aerosol optical depths; Aerosol robotic networks; Biomass-burning; Coarse and fine modes; Desert dust; European Monitoring and Evaluation Programme; High turbidity; Spectral deconvolution; Aerosols; AERONET; aerosol; biomass burning; comparative study; concentration (composition); dust; identification method; optical depth; particle size; turbidity; Iberian Peninsula
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120453
作者单位	GOA, Departamento de Física Teórica, Atómica y Óptica, Facultad de Ciencias, Universidad de Valladolid, Paseo Belén 7, Valladolid, 47011, Spain; CARTEL, Université de Sherbrooke, Sherbrooke, Québec, Canada
推荐引用方式 GB/T 7714	Mateos D.,Cachorro V.E.,Velasco-Merino C.,et al. Comparison of three different methodologies for the identification of high atmospheric turbidity episodes[J],2020,237.
APA	Mateos D..,Cachorro V.E..,Velasco-Merino C..,O'Neill N.T..,Burgos M.A..,...&de Frutos A.M..(2020).Comparison of three different methodologies for the identification of high atmospheric turbidity episodes.Atmospheric Research,237.
MLA	Mateos D.,et al."Comparison of three different methodologies for the identification of high atmospheric turbidity episodes".Atmospheric Research 237(2020).