Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia

Simple item page
dc.contributor.authorLee, Jaehwa
dc.contributor.authorHsu, N. Christina
dc.contributor.authorBettenhausen, Corey
dc.contributor.authorSayer, Andrew
dc.contributor.authorSeftor, Colin J.
dc.contributor.authorJeong, Myeong-Jae
dc.contributor.authorTsay, Si-Chee
dc.contributor.authorWelton, Ellsworth J.
dc.contributor.authorWang, Sheng-Hsiang
dc.contributor.authorChen, Wei-Nai
dc.date.accessioned2024-04-29T17:01:03Z
dc.date.available2024-04-29T17:01:03Z
dc.date.issued2016-10-30
dc.description.abstractThis 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.
dc.description.sponsorshipThis project is funded by the NASA Earth Observing System program, managed by H. Maring, and the NASA Micro-Pulse Lidar Network by the NASA Earth Observing System and Radiation Sciences Program. The VIIRS, OMPS, and CALIOP science teams are gratefully acknowledged for their efforts to create and maintain the data records used in this investigation. We thank the PIs and managers (Holben, B.N., Janjai, S. and Lin, N.H.) for establishing and maintaining the AERONET sites used in this study.
dc.description.urihttps://aaqr.org/articles/aaqr-15-08-siseasia-0506
dc.format.extent12 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2a6ib-j57q
dc.identifier.citationLee, Jaehwa, N. Christina Hsu, Corey Bettenhausen, Andrew M. Sayer, Colin J. Seftor, Myeong-Jae Jeong, Si-Chee Tsay, Ellsworth J. Welton, Sheng-Hsiang Wang, and Wei-Nai Chen. “Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia.” Aerosol and Air Quality Research 16, no. 11 (2016): 2831–42. https://doi.org/10.4209/aaqr.2015.08.0506.
dc.identifier.urihttps://doi.org/10.4209/aaqr.2015.08.0506
dc.identifier.urihttp://hdl.handle.net/11603/33393
dc.language.isoen_US
dc.publisherTaiwan Association for Aerosol Research
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleEvaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9149-1789

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
aaqr1508siseasia0506.pdf
Size:
2.33 MB
Format:
Adobe Portable Document Format
Download

Collections

UMBC GESTAR II