Preprints
https://doi.org/10.5194/acp-2020-1283
https://doi.org/10.5194/acp-2020-1283

  18 Feb 2021

18 Feb 2021

Review status: this preprint is currently under review for the journal ACP.

Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western north Pacific Ocean

Maggie C. Ooi1,2, Ming-Tung Chuang3, Joshua S. Fu4, Steven S. Kong1, Wei-Syun Huang5, Sheng-Hsiang Wang1,5, Andy Chan6, Shantanu K. Pani1, and Neng-Huei Lin1,5 Maggie C. Ooi et al.
  • 1Department of Atmospheric Sciences, National Central University, Taoyuan, 32001, Taiwan
  • 2Institute of Climate Change, National University of Malaysia, Bangi 43600, Malaysia
  • 3Research Center for Environmental Change, Academia Sinica, Taipei, 11529, Taiwan
  • 4Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, 37996, USA
  • 5Center for Environmental Monitoring Technology, National Central University, Taoyuan, 32001, Taiwan
  • 6Department of Civil Engineering, University of Nottingham Malaysia, Semenyih, 43500, Malaysia

Abstract. The boreal spring biomass burning (BB) in the northern peninsular Southeast Asia (nPSEA) are lifted into the subtropical jet stream, get transported and deposited across nPSEA, South China, Taiwan, and even the western North Pacific Ocean. This paper as part of the 7-Southeast Asian Studies (7-SEAS) project effort attempts to improve the prediction capability of the chemical transport model (WRF-CMAQ) over a vast region including the mountainous near-source burning sites at nPSEA to its downwind region. Several sensitivity analyses of plume rise are compared in the paper and it discovers that the initial vertical allocation profile of BB plume and plume rise module (PLMRIM) are the main reasons causing the inaccuracies of the WRF-CMAQ simulations. The smoldering emission from the Western Regional Air Partnership (WRAP) empirical algorithm included has improve the accuracies of PM10, O3 and CO at the source. The best performance at the downwind sites is achieved with the inline PLMRIM that accounts for the atmospheric stratification at the mountainous source region with the high-resolution FINN burning emission dataset. The calibrated model greatly improves not only the BB emission prediction over near-source and receptor ground-based measurement sites but also the aerosol vertical distribution (MPLNET, CALIPSO) and column aerosol optical depth (MODIS AOD) of the BB aerosol along the transport route. Three distinct transport mechanisms from nPSEA to the western North Pacific are then identified while a particular mechanism which involves Asian cold surge is able to mix the BB smoke plumes into the boundary layer and affects the ground surface over the western Taiwan.

Maggie C. Ooi et al.

Status: open (until 15 Apr 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Maggie C. Ooi et al.

Maggie C. Ooi et al.

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Short summary
There is very limited local modelling effort in the Southeast Asia where the haze is an annual recurring threat. In this work, the accuracy of the haze prediction is improved not only at the burning source but also on the downwind site in the northern Southeast Asia to highlight the influence of transboundary haze which is often regional. The burning haze is carried to the populated western of Taiwan via several mechanisms, with most severe condition related to boreal winter pressure system.
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