Long-range transport of ozone across the eastern China seas: A case study in coastal cities in southeastern China

Author(s):  
Yanhua Zheng ◽  
Fei Jiang ◽  
Shuzhang Feng ◽  
Zhe Cai ◽  
Yang Shen ◽  
...  
2010 ◽  
Vol 49 (2) ◽  
pp. 203-220 ◽  
Author(s):  
In-Bo Oh ◽  
Yoo-Keun Kim ◽  
Mi-Kyung Hwang ◽  
Cheol-Hee Kim ◽  
Soontae Kim ◽  
...  

Abstract Elevated layers of high ozone concentration were observed over the Seoul metropolitan region (SMR) in Korea by ozonesonde measurements during 6–9 June 2003. An analysis of the synoptic-scale meteorological features and backward trajectories revealed that the layers were associated with the long-range transport of ozone from eastern China. Further examination of the long-range transport process responsible for the development of these layers was performed using the Community Multiscale Air Quality (CMAQ) model. CMAQ demonstrated that the upward mixing of ozone by convective activity in eastern China and subsequent horizontal transport aloft in the periphery of a slow-moving high pressure system led to the development of thick ozone layers over the SMR. Through comparative simulation studies, it was found that the surface ozone levels in the SMR can be significantly enhanced by the vertical down-mixing of ozone from the layer aloft with the growing mixed layer. On average, about 25% of the surface peak concentration in a given area during a high-ozone episode was due to the influence of the ozone layer aloft developed by the long-range transport process.


1973 ◽  
Vol 101 (5) ◽  
pp. 404-411 ◽  
Author(s):  
FRANKLIN P. HALL ◽  
CLAUDE E. DUCHON ◽  
LAURENCE G. LEE ◽  
RICHARD R. HAGAN

2013 ◽  
Author(s):  
Savvas Kleanthous ◽  
Chrysanthos Savvides ◽  
Ioannis Christofides ◽  
Diofantos G. Hadjimitsis ◽  
Kyriacos Themistocleous ◽  
...  

2008 ◽  
Vol 8 (6) ◽  
pp. 20925-20964
Author(s):  
J.-P. Cammas ◽  
J. Brioude ◽  
J.-P. Chaboureau ◽  
J. Duron ◽  
C. Mari ◽  
...  

Abstract. This paper analyses a stratospheric injection by deep convection of biomass fire emissions over North America (Alaska, Yukon and Northwest Territories) on 24 June 2004 and its long-range transport over the eastern coast of the United States and the eastern Atlantic. The case study is done using MOZAIC observations of ozone, carbon monoxide, nitrogen oxides (NOx+PAN) and water vapour during the crossing of the southernmost tip of an upper level trough over the Eastern Atlantic on 30 June 03:00 UTC and 10:00 UTC and in a vertical profile over Washington DC on 30 June 17:00 UTC, and by lidar observations of aerosol backscattering at Madison (University of Wisconsin) on 28 June. Attribution of the plumes to the boreal fires is achieved by backward simulations with a Lagrangian particle dispersion model (FLEXPART). A simulation with the Meso-NH model for the source region shows that a boundary layer tracer, mimicking the boreal forest fire smoke, is lofted into the lowermost stratosphere (2–5 pvu layer) during the diurnal convective cycle. The isentropic levels (above 335 K) correspond to those of the downstream MOZAIC observations. The parameterized convective detrainment flux is intense enough to fill the volume of a model mesh (20 km horizontal, 500 m vertical) above the tropopause with pure boundary layer air in a time period compatible with the convective diurnal cycle, i.e. about 5 h. The maximum instantaneous detrainment fluxes deposited about 15–20% of the initial boundary layer tracer concentration at 335 K, which according to the 275-ppbv carbon monoxide maximum mixing ratio observed by MOZAIC over eastern Atlantic, would be associated with a 1.4–1.8 ppmv carbon monoxide mixing ratio in the boundary layer over the source region.


2003 ◽  
Vol 18 (2) ◽  
pp. 121-141 ◽  
Author(s):  
J. J. Simpson ◽  
G. L. Hufford ◽  
R. Servranckx ◽  
J. Berg ◽  
D. Pieri

Author(s):  
Zhaoyan Liu ◽  
Ali Omar ◽  
Mark Vaughan ◽  
Johnathan Hair ◽  
Chieko Kittaka ◽  
...  

2017 ◽  
Vol 17 (4) ◽  
pp. 965-974 ◽  
Author(s):  
Xiaojing Li ◽  
Xiangao Xia ◽  
Jingjing Song ◽  
Yufei Wu ◽  
Xiaoling Zhang ◽  
...  

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