Atmospheric Measurements

In November 2004, J. William MUNGER and Chris P. NIELSEN (Harvard School of Engineering and Applied Sciences) and HAO Jiming (Tsinghua University School of Environment) led the deployment of a permanent observational station at Miyun, north of Beijing, to collect independent data for use in the Project's atmospheric research. In operation ever since, the station operations are now led on the Tsinghua side by WANG Yuxuan (Department of Earth System Science) and WANG Shuxiao (School of Environment), both alumna of the Harvard-China Project.

The station makes continuous observations of key trace gases, including CO, CO2, O3, SO2, NO/NOy, as well as black carbon and local meteorological conditions. A CH4 analyzer will soon be added. The station is sited in a rural area 100 km north of Beijing, to distance it from the influence of individual sources and to measure a variety of conditions as local meteorology shifts, from relatively clean background air to polluted urban plumes.
 
Researchers have compared or incorporated the measurements of atmospheric species at the Miyun station with emissions estimates and GEOS-Chem modeling, and have conducted research on levels and trends in concentrations of O3, NOX, and BC, CO2:CO ratios, and the effects of control policies on diverse atmospheric pollutants and GHGs. The detailed CO2 record has now been extensively analyzed in research on the Chinese carbon cycle forthcoming in journal submissions and a Ph.D. dissertation by student Archana DAYALU, advised by MUNGER and Prof. Steven C. WOFSY.
 
The China Project's atmospheric research is committed to building observationally validated, fundamental research on the physical and chemical dimensions of China’s atmospheric environment and the emissions that influence it, at local, regional, and global scales. In addition to the observational research described below, it includes modeling research described here and bottom-up emissions research described here.

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Acknowledgment: Some of the material summarized here is based on work supported in part by the National Science Foundation under Grants No. ATM-1019134 or ATM-0635548 (indicated by acknowledgments in the papers). Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.