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

Academic Article
Publication Date:
2016
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. ? 2016 American Meteorological Society.
Iris type:
01.01 Articolo in rivista
Keywords:
Aerosols; Air pollution; Air quality; Lidars/Lidar observations; Radiosonde observations; Regional models
List of contributors:
Lolli, Simone
Authors of the University:
LOLLI SIMONE
Handle:
https://iris.cnr.it/handle/20.500.14243/326158
Published in:
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (ONLINE)
Journal
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956869172&doi=10.1175%2fJAMC-D-15-0083.1&partnerID=40&md5=63faf81fcdcadfd63ce67c82c8d5340c
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