Applying advanced ground-based remote sensing in the Southeast Asian maritime continent to characterize regional proficiencies in smoke transport modeling

James R. Campbell, Cui Ge, Jun Wang, Ellsworth J. Welton, Anthony Bucholtz, Edward J. Hyer, Elizabeth A. Reid, Boon Ning Chew, Soo Chin Liew, Santo V. Salinas, Simone Lolli, Kathleen C. Kaku, Peng Lynch, Mastura Mahmud, Maznorizan Mohamad, Brent N. Holben

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This work describes some of the most extensive ground-based observations of the aerosol profile collected in Southeast Asia to date, highlighting the challenges in simulating these observations with a mesoscale perspective. An 84-h WRF Model coupled with chemistry (WRF-Chem) mesoscale simulation of smoke particle transport at Kuching, Malaysia, in the southern Maritime Continent of Southeast Asia is evaluated relative to a unique collection of continuous ground-based lidar, sun photometer, and 4-h radiosonde profiling. The period was marked by relatively dry conditions, allowing smoke layers transported to the site unperturbed by wet deposition to be common regionally. The model depiction is reasonable overall. Core thermodynamics, including land/sea-breeze structure, are well resolved. Total model smoke extinction and, by proxy, mass concentration are low relative to observation. Smoke emissions source products are likely low because of undersampling of fires in infrared sun-synchronous satellite products, which is exacerbated regionally by endemic low-level cloud cover. Differences are identified between the model mass profile and the lidar profile, particularly during periods of afternoon convective mixing. A static smoke mass injection height parameterized for this study potentially influences this result. The model does not resolve the convective mixing of aerosol particles into the lower free troposphere or the enhancement of near-surface extinction from nighttime cooling and hygroscopic effects.

Original languageEnglish
Pages (from-to)3-22
Number of pages20
JournalJournal of Applied Meteorology and Climatology
Volume55
Issue number1
DOIs
Publication statusPublished - 2016

Fingerprint

smoke
remote sensing
modeling
lidar
extinction
aerosol
sea breeze
photometer
wet deposition
radiosonde
cloud cover
troposphere
thermodynamics
continent
cooling
simulation
product
Southeast Asia

Keywords

  • Aerosols
  • Air pollution
  • Air quality
  • Lidars/Lidar observations
  • Radiosonde observations
  • Regional models

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Applying advanced ground-based remote sensing in the Southeast Asian maritime continent to characterize regional proficiencies in smoke transport modeling. / Campbell, James R.; Ge, Cui; Wang, Jun; Welton, Ellsworth J.; Bucholtz, Anthony; Hyer, Edward J.; Reid, Elizabeth A.; Chew, Boon Ning; Liew, Soo Chin; Salinas, Santo V.; Lolli, Simone; Kaku, Kathleen C.; Lynch, Peng; Mahmud, Mastura; Mohamad, Maznorizan; Holben, Brent N.

In: Journal of Applied Meteorology and Climatology, Vol. 55, No. 1, 2016, p. 3-22.

Research output: Contribution to journalArticle

Campbell, JR, Ge, C, Wang, J, Welton, EJ, Bucholtz, A, Hyer, EJ, Reid, EA, Chew, BN, Liew, SC, Salinas, SV, Lolli, S, Kaku, KC, Lynch, P, Mahmud, M, Mohamad, M & Holben, BN 2016, 'Applying advanced ground-based remote sensing in the Southeast Asian maritime continent to characterize regional proficiencies in smoke transport modeling', Journal of Applied Meteorology and Climatology, vol. 55, no. 1, pp. 3-22. https://doi.org/10.1175/JAMC-D-15-0083.1
Campbell, James R. ; Ge, Cui ; Wang, Jun ; Welton, Ellsworth J. ; Bucholtz, Anthony ; Hyer, Edward J. ; Reid, Elizabeth A. ; Chew, Boon Ning ; Liew, Soo Chin ; Salinas, Santo V. ; Lolli, Simone ; Kaku, Kathleen C. ; Lynch, Peng ; Mahmud, Mastura ; Mohamad, Maznorizan ; Holben, Brent N. / Applying advanced ground-based remote sensing in the Southeast Asian maritime continent to characterize regional proficiencies in smoke transport modeling. In: Journal of Applied Meteorology and Climatology. 2016 ; Vol. 55, No. 1. pp. 3-22.
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