Interpreting aerosol lidar profiles to better estimate surface PM2.5 for columnar AOD measurements

NCUIR > College of Earth Sciences > Department of Atmospheric Sciences > journal & Dissertation > Item 987654321/100048

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100048

Title:	Interpreting aerosol lidar profiles to better estimate surface PM2.5 for columnar AOD measurements
Authors:	林能暉;Chu, D. Allen;Tsai, Tzu-Chin;Chen, Jen-Ping;Chang, Shuenn-Chin;Jeng, Yung-Jyh;Chiang, Wei-Li;Lin, Neng-Hui
Contributors:	地球科學學院大氣科學學系
Keywords:	Aerosol optical depth;aerosols;atmospheric chemistry;Earth, ocean, space;Exact sciences and technology;External geophysics;Geophysics. Techniques, methods, instrumentation and models;Haze layer height;lidar;Meteorology;MODIS;Particles and aerosols;Particulate matter;Planetary boundary layer height;Taiwan;uncertainty
Date:	2013-11-01
Issue Date:	2026-04-21 13:46:58 (UTC+8)
Publisher:	Elsevier Ltd.;Kidlington: Elsevier Ltd
Abstract:	摘要： Satellite aerosol optical depth (AOD) products have been used to estimate surface PM2.5 in different parts of the world. However, some revealed good but some relatively poorer relationship between AOD and PM2.5. The increasingly available lidar-based aerosol extinction profiles provide insights into the boundary layer as well as residual above it. Here we report a study in Taiwan using four-year (2006–2009) MPLNet data to characterize aerosol vertical distribution. We derived haze layer height (HLH) from MPLNet aerosol extinction profiles and classified profile differences by mean PBL extinction (MPE) and near-surface extinction (NSE). The former represents the mean extinction within boundary layer and the latter the closest extinction to surface. The comparison of MPE versus NSE leads to three distinct classifications of aerosol profiles to help interpret the relationship between AOD and PM2.5. The approximation of normalizing AODAERONET by HLH closely follows MPE in correlating with PM2.5 (≥0.8 with respect to season or ≥0.85 with respect to profile classification). The correlation resulted from AODMODIS/HLH is systematically lower than that derived by AODAERONET/HLH. PM2.5 values are overall better estimated by profile classification than those derived by season. Better performance of PM2.5 is obtained with the approximation (i.e., normalizing AOD by HLH) than that using AOD only. The performance metrics used in quantifying the relationship reveal improvements in uncertainty by 2.9 μg m−3 (or 20%) with AODAERONET/HLH and 2.3 μg m−3 (or 15%) with AODMODIS/HLH in comparison to using AOD only. •Normalization of AOD by HLH.•3-type profile classification.•Performance metrics. 出版者： Kidlington: Elsevier Ltd 出版日期： 2013-11-01 出處： Atmospheric environment (1994), 2013-11, Vol.79, p.172-187 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2013 Elsevier Ltd 版權： 2015 INIST-CNRS 識別號： ISSN: 1352-2310 識別號： EISSN: 1873-2844 識別號： DOI: 10.1016/j.atmosenv.2013.06.031
Appears in Collections:	[Department of Atmospheric Sciences] journal & Dissertation

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