A51B-0019
WRF-Chem Simulation of Air Quality Over China in 2013
Friday, 18 December 2015
Poster Hall (Moscone South)
Min Zhong1, Eri Saikawa1, Yang Liu1, Paul Natsuo Kishimoto2, Valerie J Karplus3, Vaishali Naik4, Larry Wayne Horowitz5 and Masayuki Takigawa6, (1)Emory University, Atlanta, GA, United States, (2)Massachusetts Institute of Technology, MIT Joint Program on the Science & Policy of Global Change, Cambridge, MA, United States, (3)Massachusetts Institute of Technology, Cambridge, MA, United States, (4)UCAR/GFDL, Princeton, NJ, United States, (5)Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, (6)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan
Abstract:
We use the Weather Research and Forecasting model coupled with Chemistry version 3.5 (WRF-Chem) to investigate air quality over China in 2013, and compare model simulations with ground-level measurements from more than 800 monitoring sites, and satellite retrievals. We create the provincial total anthropogenic emissions in 2013 using the China Regional Economic Model (C-REM) and map these provincial emissions based on the spatial distribution of the Regional Emission Inventory in Asia (REAS) version 2. The initial and lateral chemical boundary conditions are taken from a present-day simulation of the NOAA Geophysical Fluid Dynamics Laboratory (GFDL) global chemistry-climate model AM3. We use the Regional Acid Deposition version 2 (RADM2) atmospheric chemical mechanism for gas-phase chemistry and the Model Aerosol Dynamics for Europe with the Secondary Organic Aerosol Model (MADE/SORGAM) along with some aqueous reactions for aerosol chemistry. Our preliminary results show that model meets the air quality model performance criteria for fine particulate matter (PM2.5), with mean fractional bias (MFB) less than 50%, at 95% of observation sites in April, 2013. The model tends to overestimate monthly mean PM2.5 in Central China (MFB = 23.8%), East China (MFB = 2.03%), Northwest China (MFB = 7.12%), South China (MFB = 26.9%), and Taiwan (MFB = 22.3%), but underestimate in North China (MFB = -9.7%), Northeast China (MFB = -20.5%), and Southwest China (MFB = -11.2%). Overall, model performs excellent in predicting PM2.5 using the newly created anthropogenic emissions in China, with monthly mean PM2.5 MFB of 5.5% in nationwide. We will present results of model-measurement comparisons and model-satellite retrievals comparisons for more months in the year of 2013.
