期刊
ENVIRONMENTAL RESEARCH LETTERS
卷 8, 期 4, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/1748-9326/8/4/044034
关键词
inter-annual variability; AOD; El Nino; East Asia; ENSO; air quality
资金
- National Natural Science Foundation of China [41222011, 41130754]
- Research Project of Chinese Ministry of Education [113001A]
- '863' Hi-Tech R&D Program of China [2012AA063303]
Aerosols degrade air quality, perturb atmospheric radiation, and impact regional and global climate. Due to the rapid increase in anthropogenic emissions, aerosol loading over East Asia (EA) is markedly higher than other industrialized regions, which motivates a need to characterize the evolution of aerosols and understand the associated drivers. Based on the MISR satellite data during 2000-2011, a wave-like interannual variation of summertime aerosol optical depth (SAOD) is observed over the highly populated North China Plain (NCP) in East Asia. Specifically, the peak-to-trough ratio of SAOD ranges from 1.4 to 1.6, with a period of 3-4 years. This variation pattern differs apparently from what has been seen in EA emissions, indicating a periodic change in regional climate pattern during the past decade. Investigations of meteorological fields over the region reveal that the high SAOD is generally associated with the enhanced Philippine Sea Anticyclone Anomaly (PSAA) which weakens southeasterlies over northeastern EA and depresses air ventilation. Alternatively, higher temperature and lower relative humidity are found to be coincident with reduced SAOD. The behavior of PSAA has been found previously to be modulated by the El Nino Southern Oscillations (ENSO), therefore ENSO could disturb the EA SAOD as well. Rather than changing coherently with the ENSO activity, the SAOD peaks over NCP are found to be accompanied by the rapid transition of El Nino warm to cold phases developed four months ahead. An index measuring the development of ENSO during January-April is able to capture the interannual variability of SAOD over NCP during 2000-2011. This finding indicates a need to integrate the large-scale periodic climate variability in the design of regional air quality policy.
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