Martins Douglas K, Stauffer Ryan M, Thompson Anne M, Halliday Hannah S, Kollonige Debra, Joseph Everette, Weinheimer Andrew J
Department of Meteorology, Pennsylvania State University, 503 Walker Building, University Park, PA 16802 USA.
Department of Physics and Astronomy, Howard University, 2355 6th St. NW, Washington, DC 20059 USA.
J Atmos Chem. 2015;72(3-4):373-391. doi: 10.1007/s10874-013-9259-4. Epub 2013 May 12.
The current network of ground-based monitors for ozone (O) is limited due to the spatial heterogeneity of O at the surface. Satellite measurements can provide a solution to this limitation, but the lack of sensitivity of satellites to O within the boundary layer causes large uncertainties in satellite retrievals at the near-surface. The vertical variability of O was investigated using ozonesondes collected as part of NASA's eriving nformation on urface Conditions from lumn and tically Resolved Observations Relevant to ir uality (DISCOVER-AQ) campaign during July 2011 in the Baltimore, MD/Washington D.C. metropolitan area. A subset of the ozonesonde measurements was corrected for a known bias from the electrochemical solution strength using new procedures based on laboratory and field tests. A significant correlation of O over the two sites with ozonesonde measurements (Edgewood and Beltsville, MD) was observed between the mid-troposphere (7-10 km) and the near-surface (1-3 km). A linear regression model based on the partial column amounts of O within these subregions was developed to calculate the near-surface O using mid-tropospheric satellite measurements from the Tropospheric Emission Spectrometer (TES) onboard the Aura spacecraft. The uncertainties of the calculated near-surface O using TES mid-tropospheric satellite retrievals and a linear regression model were less than 20 %, which is less than that of the observed variability of O at the surface in this region. These results utilize a region of the troposphere to which existing satellites are more sensitive compared to the boundary layer and can provide information of O at the near-surface using existing satellite infrastructure and algorithms.
由于地表臭氧(O)的空间异质性,当前用于监测臭氧的地面监测网络存在局限性。卫星测量可以解决这一局限性,但卫星对边界层内臭氧的敏感度不足,导致近地表卫星反演存在很大的不确定性。利用作为美国国家航空航天局(NASA)“从柱面和垂直分辨观测中获取地表条件信息以了解现实情况”(DISCOVER-AQ)活动一部分收集的臭氧探空仪数据,对2011年7月在马里兰州巴尔的摩/华盛顿特区大都市区的臭氧垂直变异性进行了研究。利用基于实验室和现场测试的新程序,对臭氧探空仪测量的一个子集进行了校正,以消除电化学溶液强度已知偏差的影响。在对流层中部(7 - 10千米)和近地表(1 - 3千米)之间,观测到两个站点(马里兰州埃奇伍德和贝尔茨维尔)的臭氧与臭氧探空仪测量值之间存在显著相关性。基于这些子区域内臭氧的部分柱总量,建立了一个线性回归模型,以利用搭载在奥拉卫星上的对流层发射光谱仪(TES)的对流层中部卫星测量值来计算近地表臭氧。使用TES对流层中部卫星反演数据和线性回归模型计算得到的近地表臭氧的不确定性小于20%,这低于该区域地表臭氧观测变异性。这些结果利用了对流层中现有卫星比边界层更敏感的区域,并能够利用现有卫星基础设施和算法提供近地表臭氧信息。