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Discussion papers
https://doi.org/10.5194/acp-2019-692
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-692
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 23 Mar 2020

Submitted as: research article | 23 Mar 2020

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This preprint is currently under review for the journal ACP.

Sensitivity of WRF-Chem model resolution in simulating particulate matter in South-East Asia

Adedayo Rasak Adedeji1, Lalit Dagar2, Mohammad Iskandar Petra1, Liyanage C. De Silva1, and Zhining Tao3,4 Adedayo Rasak Adedeji et al.
  • 1Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link, BE1410, Brunei Darussalam
  • 2Environmental Studies, Faculty of Arts and Social Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, BE1410, Brunei Darussalam
  • 3Universities Space Research Association, Columbia, MD, USA
  • 4NASA Goddard Space Flight Center, Greenbelt, MD, USA

Abstract. Frequent haze episodes commonly caused by biomass burning has been a concern in South East Asia. One of such events was the June 2013 severe haze in the region. This study assessed the ability of WRF-Chem in capturing the spatial variability and concentrations of particulate emissions during this period. It analyzed the regional biomass burning emissions and its transport leading to higher particulate matter levels in the region. In order to analyze the effect of grid-scale, the horizontal resolution of the simulation was varied between low-resolution (100 km) and high-resolution (20 km). Evaluations of the simulations were made against meteorological observations pertinent to emission and transport of particulate matter, including surface and vertical air profile variables such as temperature, relative humidity, and wind speed and direction. Particulate matter (PM10 and PM2.5) levels were evaluated using ground measurements in Brunei and Singapore respectively. The meteorological parameters were adequately represented across the model simulations. Increasing the horizontal resolution of the simulations generally improved the representation of meteorology and air quality but some prognostic variables maintained similar or better performance with coarse resolution simulation. With the high-resolution simulation, PM10 concentration in Brunei had a correlation coefficient around 0.4, and the simulated PM2.5 level in Singapore had correlation coefficient around 0.9. Whereas, the low-resolution simulation had correlation coefficients around 0.2 and 0.8 for PM10 and PM2.5 levels at Brunei and Singapore, respectively. Both simulations could not repeat aerosol optical depth (AOD) from reanalysis unless the biomass burning emissions were enhanced. An enhancement factor of 6 with high-resolution simulation gave PM10 and PM2.5 correlations around 0.6 and 0.9 in Brunei and Singapore respectively.

Adedayo Rasak Adedeji et al.

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Adedayo Rasak Adedeji et al.

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Short summary
We have simulated the particulate matter levels and distribution during the haze event across the Southeast Asia region in June 2013, caused mainly by the intense biomass burning emissions. We analyzed the response of meteorology and particulate matter simulation to horizontal grid resolutions, and the relative positioning of station to variable staggering on grids. Also, the simulations emphasized the requirement of biomass burning enhancements in the WRF-Chem model.
We have simulated the particulate matter levels and distribution during the haze event across...
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