Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument
Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument
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DOI：
10.1029/2007jd009235
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发表时间：
2008-08-28
影响因子：
4.4
通讯作者：
Pinto, J. P.
中科院分区：
文献类型：
--
作者：
Lamsal, L. N.;Martin, R. V.;Pinto, J. P.
本文提出了一种将全球三维模型（GEOS-Chem）中的局部比例因子应用于Aura卫星上臭氧监测仪器（OMI）获取的对流层NO2柱的方法来推断地面二氧化氮（NO2）浓度。从标准对流层NO2数据产品（Version 1.0.5, Collection 3）得到的季节平均OMI地表NO2在北美变化超过两个数量级（< 0.1- bbb10ppbv）。两个地面数据集用于验证地表NO2估算和间接验证OMI对流层NO2检索：基于原位NO和O-3测量的NO2光化学稳态（PSS）计算，以及配备钼转化器的商用化学发光NO2分析仪的测量。后者的干扰校正算法是利用实验室和现场测量开发的，并使用干扰物种的模拟浓度应用。在校正了原位数据的干扰后，omi得出的表面NO2混合比与美国环境保护局空气质量系统（AQS）和加拿大环境部国家空气污染监测网络（NAPS） 2005年的原位表面NO2数据进行了比较。omi衍生的表面NO2与修正后的原位测量值和PSS-NO2的总体一致性为-11-36%。冬季/春季的差异大于夏季/秋季，表明OMI NO2反演存在季节偏差。omi反演的地表NO2值与地面NO2值具有显著的相关性（相关系数高达0.86），且在污染地区具有较高的相关性。卫星衍生的地面NO2浓度数据库可用于评估人类和植被对NO2的暴露，补充地面网络的能力，以及评估空气质量模型和空气质量控制策略的有效性。
We present an approach to infer ground-level nitrogen dioxide (NO2) concentrations by applying local scaling factors from a global three-dimensional model (GEOS-Chem) to tropospheric NO2 columns retrieved from the Ozone Monitoring Instrument (OMI) onboard the Aura satellite. Seasonal mean OMI surface NO2 derived from the standard tropospheric NO2 data product (Version 1.0.5, Collection 3) varies by more than two orders of magnitude (< 0.1-> 10 ppbv) over North America. Two ground-based data sets are used to validate the surface NO2 estimate and indirectly validate the OMI tropospheric NO2 retrieval: photochemical steady-state (PSS) calculations of NO2 based on in situ NO and O-3 measurements, and measurements from a commercial chemiluminescent NO2 analyzer equipped with a molybdenum converter. An interference correction algorithm for the latter is developed using laboratory and field measurements and applied using modeled concentrations of the interfering species. The OMI-derived surface NO2 mixing ratios are compared with an in situ surface NO2 data obtained from the U. S. Environmental Protection Agency's Air Quality System (AQS) and Environment Canada's National Air Pollution Surveillance (NAPS) network for 2005 after correcting for the interference in the in situ data. The overall agreement of the OMI-derived surface NO2 with the corrected in situ measurements and PSS-NO2 is -11-36%. A larger difference in winter/spring than in summer/fall implies a seasonal bias in the OMI NO2 retrieval. The correlation between the OMI-derived surface NO2 and the ground-based measurements is significant (correlation coefficient up to 0.86) with a tendency for higher correlations in polluted areas. The satellite-derived data base of ground level NO2 concentrations could be valuable for assessing exposures of humans and vegetation to NO2, supplementing the capabilities of the ground-based networks, and evaluating air quality models and the effectiveness of air quality control strategies.