Estimating Ground-Level PM₂.₅ in China Using Aerosol Optical Depth Determined from... скачать в хорошем качестве

Estimating Ground-Level PM₂.₅ in China Using Aerosol Optical Depth Determined from...

2014 Fall Meeting Section: Atmospheric Sciences Session: Air Quality in Asia III Title: Estimating Ground-Level PM₂.₅ in China Using Aerosol Optical Depth Determined from the GOCI Satellite Instrument Authors: Xu, J*, Dalhousie University, Halifax, NS, Canada Martin, R, Dalhousie University, Halifax, NS, Canada Kim, J, Yonsei University, Seoul, South Korea Choi, M, Yonsei University, Seoul, South Korea Zhang, Q, Tsinghua University, Beijing, China Geng, G, Tsinghua University, Beijing, China Liu, Y, Emory University, Atlanta, GA, United States Ma, Z, Emory University, Atlanta, GA, United States Huang, L, School of the Environment, Nanjing University, Nanjing, China Wang, Y, Tsinghua University, Beijing, China Abstract: The severe air pollution in China imposes a pressing need to monitor fine aerosol concentration (PM2.5) at fine temporal and spatial resolutions. Satellite remote sensing is emerging as a key solution to this need. GOCI is the first satellite remote sensor that is able to provide multi-spectral aerosol optical properties in Northeast Asia on an hourly basis. We implemented a set of filters to minimize cloud contamination in GOCI aerosol optical depths (AOD). Evaluation of filtered GOCI AOD by AERONET AOD data at three sites in China indicates significant agreement (hourly RMSE=0.03-0.16). A global chemical transport model (GEOS-Chem) is used to relate total column AOD to near-surface PM2.5. The simulated PM2.5/AOD ratio generally captures the seasonal variation in ground measurements. We assess the relationship of a full year of GOCI-derived PM2.5 concentrations versus ground measurements at more than 800 locations across China, and found significant agreement (r=0.86, slope=0.8), indicating GOCI is a promising tool to provide in-depth and accurate data for air quality studies in Northeast Asia. Cite as: Author(s) (2014), Title, Abstract A22C-06 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec. Learn more here: http://abstractsearch.agu.org/meeting...