Evaluating the height of biomass burning smoke aerosols retrieved from synergistic use of multiple satellite sensors over southeast Asia

NCUIR > College of Earth Sciences > Department of Atmospheric Sciences > journal & Dissertation > Item 987654321/100908

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100908

Title:	Evaluating the height of biomass burning smoke aerosols retrieved from synergistic use of multiple satellite sensors over southeast Asia
Authors:	王聖翔;Lee, Jaehwa;Hsu, N. Christina;Bettenhausen, Corey;Sayer, Andrew M.;Seftor, Colin J.;Jeong, Myeong-Jae;Tsay, Si-Chee;Welton, Ellsworth J.;Wang, Sheng-Hsiang;Chen, Wei-Nai
Contributors:	地球科學學院大氣科學學系
Date:	2016-11-01
Issue Date:	2026-04-21 14:17:58 (UTC+8)
Publisher:	AAGR Aerosol and Air Quality Research;Cham: Springer International Publishing
Abstract:	摘要： This study evaluates the height of biomass burning smoke aerosols retrieved from a combined use of Visible Infrared Imaging Radiometer Suite (VIIRS), Ozone Mapping and Profiler Suite (OMPS), and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) observations. The retrieved heights are compared against spaceborne and ground-based lidar measurements during the peak biomass burning season (March and April) over Southeast Asia from 2013 to 2015. Based on the comparison against CALIOP, a quality assurance (QA) procedure is developed. It is found that 74% (81–84%) of the retrieved heights fall within 1 km of CALIOP observations for unfiltered (QA-filtered) data, with root-mean-square error (RMSE) of 1.1 km (0.8–1.0 km). Eliminating the requirement for CALIOP observations from the retrieval process significantly increases the temporal coverage with only a slight decrease in the retrieval accuracy; for best QA data, 64% of data fall within 1 km of CALIOP observations with RMSE of 1.1 km. When compared with Micro-Pulse Lidar Network (MPLNET) measurements deployed at Doi Ang Khang, Thailand, the retrieved heights show RMSE of 1.7 km (1.1 km) for unfiltered (QA-filtered) data for the complete algorithm, and 0.9 km (0.8 km) for the simplified algorithm. 其他題名： Aerosol Air Qual. Res 其他題名： Aerosol Air Qual Res 出版者： Cham: Springer International Publishing 出版日期： 2016-11-01 出處： Aerosol and air quality research, 2016-11, Vol.16 (11), p.2831-2842 版權： Taiwan Association for Aerosol Research 2016 識別號： ISSN: 1680-8584 識別號： ISSN: 2071-1409 識別號： EISSN: 2071-1409 識別號： DOI: 10.4209/aaqr.2015.08.0506 識別號： PMID: 32908468
Appears in Collections:	[Department of Atmospheric Sciences] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	37	View/Open

社群 sharing

Loading...