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Characterization of satellite-based proxies for estimating nucleation mode particles over South Africa

机译:基于卫星的代理的特征以估计南非上空的成核模式粒子

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pstrongAbstract./strong Proxies for estimating nucleation mode number concentrations and further simplification for their use with satellite data have been presented in Kulmala et al. (2011). In this paper we discuss the underlying assumptions for these simplifications and evaluate the resulting proxies over an area in South Africa based on a comparison with a suite of ground-based measurements available from four different stations. The proxies are formulated in terms of sources (concentrations of precursor gases (NOsub2/sub and SOsub2/sub) and UVB radiation intensity near the surface) and a sink term related to removal of the precursor gases due to condensation on pre-existing aerosols. A-Train satellite data are used as input to compute proxies. Both the input data and the resulting proxies are compared with those obtained from ground-based measurements. In particular, a detailed study is presented on the substitution of the local condensation sink (CS) with satellite aerosol optical depth (AOD), which is a column-integrated parameter. One of the main factors affecting the disagreement between CS and AOD is the presence of elevated aerosol layers. Overall, the correlation between proxies calculated from the in situ data and observed nucleation mode particle number concentrations (IN/Isubnuc/sub) remained low. At the time of the satellite overpass (1300a??1400 LT) the highest correlation is observed for SOsub2/sub/CS (IR/Isup2/sup = 0.2). However, when the proxies are calculated using satellite data, only NOsub2/sub/AOD showed some correlation with IN/Isubnuc/sub (IR/Isup2/sup = 0.2). This can be explained by the relatively high uncertainties related especially to the satellite SOsub2/sub columns and by the positive correlation that is observed between the ground-based SOsub2/sub and NOsub2/sub concentrations. In fact, results show that the satellite NOsub2/sub columns compare better with in situ SOsub2/sub concentration than the satellite SOsub2/sub column. Despite the high uncertainties related to the proxies calculated using satellite data, the proxies calculated from the in situ data did not better predict IN/Isubnuc/sub. Hence, overall improvements in the formulation of the proxies are needed./p.
机译:> >摘要。在Kulmala等人中已经提出了估计成核模式数浓度以及进一步简化与卫星数据结合使用的代理。 (2011)。在本文中,我们讨论了这些简化操作的基本假设,并根据与四个不同站点提供的一组地面测量结果进行比较,评估了南非某个地区的代理结果。代理是根据源(前体气体的浓度(NO 2 和SO 2 )的浓度和地表附近的UVB辐射强度)和与去除Pb有关的汇项来制定的。由于在预先存在的气溶胶上凝结而产生的前体气体。 A-Train卫星数据用作计算代理的输入。将输入数据和生成的代理与从地面测量获得的代理进行比较。特别是,提出了有关用卫星气溶胶光学深度(AOD)代替局部凝结汇(CS)的详细研究,该卫星气溶胶光学深度是列综合参数。影响CS和AOD之间分歧的主要因素之一是气溶胶层的增加。总体而言,根据原位数据计算的代理与观察到的成核模式颗粒数浓度( N nuc )之间的相关性仍然很低。在卫星天桥(1300a ?? 1400 LT)时,SO 2 / CS的相关性最高( R 2 = 0.2) )。但是,当使用卫星数据计算代理时,只有NO 2 / AOD与 N nuc R 2 = 0.2)。这可以通过相对较高的不确定性来解释,尤其是与卫星SO 2 列有关,并且可以通过地面SO 2 与NO 2 浓度。实际上,结果表明,卫星NO 2 色谱柱与原位SO 2 色谱柱的对比要好于卫星SO 2 色谱柱。尽管与使用卫星数据计算的代理相关的不确定性很高,但是根据现场数据计算的代理并不能更好地预测 N nuc 。因此,需要全面改进代理的制定方式。

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