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

Jaehwa Lee, N. Christina Hsu, Corey Bettenhausen, Andrew M. Sayer, Colin J. Seftor, Myeong Jae Jeong, Si Chee Tsay, Ellsworth J. Welton, Sheng Hsiang Wang, Wei Nai Chen

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)2831-2842
Number of pages12
JournalAerosol and Air Quality Research
Volume16
Issue number11
DOIs
StatePublished - Nov 2016

Keywords

  • 7-SEAS
  • Aerosol height
  • Biomass burning
  • Satellite
  • Southeast Asia

Fingerprint

Dive into the research topics of 'Evaluating the height of biomass burning smoke aerosols retrieved from synergistic use of multiple satellite sensors over southeast Asia'. Together they form a unique fingerprint.

Cite this