Non-chemistry coupled PM10 modeling in Chiang Mai City, Northern Thailand: A fast operational approach for aerosol forecasts

• Published in: Journal of physics. Conference series Vol. 901; no. 1; pp. 12037 - 12041
• Main Authors: Macatangay, Ronald, Bagtasa, Gerry, Sonkaew, Thiranan
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.09.2017
• Subjects: Aerosols; Boundary conditions; Climate; Climatology; Haze; Land use; Mathematical models; Microphysics; Parameterization; Physics; Pollution control; Spectroradiometers; Weather forecasting; Thailand
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/901/1/012037

The Weather Research and Forecasting (WRF v. 3.7) model was applied to model PM10 data in Chiang Mai city for 10-days during a high haze event utilizing updated land use categories from the Moderate Resolution Imaging Spectroradiometer (MODIS). A higher resolution meteorological lateral boundary condition (from 1 degree to 0.25 degree) was also used from the NCEP GDAS/FNL Global Tropospheric Analyses and Forecast Grid system. A 3-category urban canopy model was also added and the Thompson aerosol-aware microphysics parameterization scheme was used to model the aerosol number concentrations that were later converted to PM10 concentrations. Aerosol number concentration monthly climatology was firstly used as initial and lateral boundary conditions to model PM10 concentrations. These were compared to surface data obtained from two stations of the Pollution Control Department (PCD) of Thailand. The results from the modeled PM10 concentrations could not capture the variability (r = 0.29; 0.27 for each site) and underestimated a high PM10 spike during the period studied. The authors then added satellite data to the aerosol climatology that improved the comparison with observations (r = 0.45; 43). However, both model runs still were not able to capture the high PM10 concentration event. This requires further investigation.