dc.contributor.author | Shin, Sung-Kyun | |
dc.contributor.author | Tesche, Matthias | |
dc.contributor.author | Mueller, Detlef | |
dc.contributor.author | Now, Youngmin | |
dc.date.accessioned | 2019-07-13T00:08:36Z | |
dc.date.available | 2019-07-13T00:08:36Z | |
dc.date.issued | 2019-07-11 | |
dc.identifier.citation | Shin , S-K , Tesche , M , Mueller , D & Now , Y 2019 , ' Aerosol-type classification based on AERONET version 3 inversion products ' , Atmospheric Measurement Techniques , vol. 12 , no. 7 , pp. 3789-3803 . https://doi.org/10.5194/amt-12-3789-2019 | |
dc.identifier.issn | 1867-1381 | |
dc.identifier.other | ORCID: /0000-0002-0203-7654/work/68611582 | |
dc.identifier.uri | http://hdl.handle.net/2299/21430 | |
dc.description | © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. | |
dc.description.abstract | This study proposes an aerosol-type classification based on the particle linear depolarization ratio (PLDR) and single-scattering albedo (SSA) provided in the AErosol RObotic NETwork (AERONET) version 3 level 2.0 inversion product. We compare our aerosol-type classification with an earlier method that uses fine-mode fraction (FMF) and SSA. Our new method allows for a refined classification of mineral dust that occurs as a mixture with other absorbing aerosols: pure dust (PD), dust-dominated mixed plume (DDM), and pollutant-dominated mixed plume (PDM). We test the aerosol classification at AERONET sites in East Asia that are frequently affected by mixtures of Asian dust and biomass-burning smoke or anthropogenic pollution. We find that East Asia is strongly affected by pollution particles with high occurrence frequencies of 50 % to 67 %. The distribution and types of pollution particles vary with location and season. The frequency of PD and dusty aerosol mixture (DDM+PDM) is slightly lower (34 % to 49 %) than pollution-dominated mixtures. Pure dust particles have been detected in only 1 % of observations. This suggests that East Asian dust plumes generally exist in a mixture with pollution aerosols rather than in pure form. In this study, we have also considered data from selected AERONET sites that are representative of anthropogenic pollution, biomass-burning smoke, and mineral dust. We find that average aerosol properties obtained for aerosol types in our PLDR–SSA-based classification agree reasonably well with those obtained at AERONET sites representative for different aerosol types. | en |
dc.format.extent | 15 | |
dc.format.extent | 2616409 | |
dc.language.iso | eng | |
dc.relation.ispartof | Atmospheric Measurement Techniques | |
dc.subject | Atmospheric Science | |
dc.title | Aerosol-type classification based on AERONET version 3 inversion products | en |
dc.contributor.institution | School of Physics, Astronomy and Mathematics | |
dc.contributor.institution | Centre for Atmospheric and Climate Physics Research | |
dc.contributor.institution | SPECS Deans Group | |
dc.description.status | Peer reviewed | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85068817321&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.5194/amt-12-3789-2019 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |