Literature DB >> 32908468

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

Jaehwa Lee1,2, N Christina Hsu1, Corey Bettenhausen1,3, Andrew M Sayer1,4, Colin J Seftor1,3, Myeong-Jae Jeong5, Si-Chee Tsay1, Ellsworth J Welton1, Sheng-Hsiang Wang6, Wei-Nai Chen7.   

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.

Entities:  

Keywords:  7-SEAS; Aerosol height; Biomass burning; Satellite; Southeast Asia

Year:  2016        PMID: 32908468      PMCID: PMC7477937          DOI: 10.4209/aaqr.2015.08.0506

Source DB:  PubMed          Journal:  Aerosol Air Qual Res        ISSN: 1680-8584            Impact factor:   3.063


  1 in total

1.  Atmospheric science. Climate effects of aerosol-cloud interactions.

Authors:  Daniel Rosenfeld; Steven Sherwood; Robert Wood; Leo Donner
Journal:  Science       Date:  2014-01-24       Impact factor: 47.728

  1 in total

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