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Effects of daily meteorology on the interpretation of space-based remote sensing of NO2

机译:日常气象学对NO2天基遥感解释的影响

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摘要

Retrievals of tropospheric NO columns from UV–visible observationsof reflected sunlight require a priori vertical profiles to account for thevariation in sensitivity of the observations to NO at differentaltitudes. These profiles vary in space and time but are usually approximatedusing models that do not resolve the full details of this variation.Currently, no operational retrieval simulates these a priori profiles at bothhigh spatial and high temporal resolution. Here we examine the additionalbenefits of daily variations in a priori profiles for retrievals alreadysimulating a priori NO profiles at sufficiently high spatialresolution to identify variations of NO within urban plumes. We showthe effects of introducing daily variation into a priori profiles can be aslarge as 40 % and 3 × 10 molec. cm for an individualday and lead to corrections as large as −13 % for a monthly average ina case study of Atlanta, GA, USA. Additionally, we show that NO emissionsestimated from space-based remote sensing using daily, high-spatial-resolutiona priori profiles are  ∼ 100 % greater than those of aretrieval using spatially coarse a priori profiles, and 26–40 % lessthan those of a retrieval using monthly averaged high-spatial-resolutionprofiles.
机译:从紫外线可见的反射阳光观测中对流层NO柱的反演需要先验垂直剖面图,以说明不同海拔高度观测对NO敏感性的变化。这些配置文件在空间和时间上会有所不同,但是通常使用无法解决此变化的全部细节的模型来近似。当前,没有任何操作检索能够在高空间分辨率和高时间分辨率下模拟这些先验配置文件。在这里,我们检查了先验剖面每日变化的额外好处,以便以足够高的空间分辨率对模拟先验NO剖面进行检索,以识别城市羽流中NO的变化。我们显示了将每日变化引入先验分布的影响可能高达40%和3×10 10 molec。在美国佐治亚州亚特兰大市进行的个案研究中,单个日期的厘米数会增加,并且导致每月平均值的校正幅度高达-13%。此外,我们显示,使用每日高空间分辨率先验剖面从天基遥感估算的NO排放,比使用空间粗糙先验剖面进行的空域遥感估算的排放高〜100%,比使用反演方法获取的排放少26-40%每月平均的高空间分辨率资料。

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