Knepp T, Pippin M, Crawford J, Chen G, Szykman J, Long R, Cowen L, Cede A, Abuhassan N, Herman J, Delgado R, Compton J, Berkoff T, Fishman J, Martins D, Stauffer R, Thompson A M, Weinheimer A, Knapp D, Montzka D, Lenschow D, Neil D
Science Systems and Applications, Inc., Hampton, VA 23681 USA ; NASA Langley Research Center, Hampton, VA 23681 USA.
NASA Langley Research Center, Hampton, VA 23681 USA.
J Atmos Chem. 2015;72(3-4):261-286. doi: 10.1007/s10874-013-9257-6. Epub 2013 May 25.
Total-column nitrogen dioxide (NO) data collected by a ground-based sun-tracking spectrometer system (Pandora) and an photolytic-converter-based in-situ instrument collocated at NASA's Langley Research Center in Hampton, Virginia were analyzed to study the relationship between total-column and surface NO measurements. The measurements span more than a year and cover all seasons. Surface mixing ratios are estimated via application of a planetary boundary-layer (PBL) height correction factor. This PBL correction factor effectively corrects for boundary-layer variability throughout the day, and accounts for up to ≈75 % of the variability between the NO data sets. Previous studies have made monthly and seasonal comparisons of column/surface data, which has shown generally good agreement over these long average times. In the current analysis comparisons of column densities averaged over 90 s and 1 h are made. Applicability of this technique to sulfur dioxide (SO) is briefly explored. The SO correlation is improved by excluding conditions where surface levels are considered background. The analysis is extended to data from the July 2011 DISCOVER-AQ mission over the greater Baltimore, MD area to examine the method's performance in more-polluted urban conditions where NO concentrations are typically much higher.
分析了由位于弗吉尼亚州汉普顿的美国国家航空航天局兰利研究中心的地基太阳跟踪光谱仪系统(潘多拉)和基于光解转换器的原位仪器收集的总柱状二氧化氮(NO)数据,以研究总柱状和地表NO测量值之间的关系。测量跨越一年多,涵盖了所有季节。通过应用行星边界层(PBL)高度校正因子来估算地表混合比。该PBL校正因子有效地校正了全天边界层的变化,并占NO数据集之间变化的约75%。先前的研究对柱状/地表数据进行了月度和季节性比较,结果表明在这些较长的平均时间内总体一致性良好。在当前分析中,对90秒和1小时内平均的柱状密度进行了比较。简要探讨了该技术对二氧化硫(SO)的适用性。通过排除地表水平被视为背景的条件,改善了SO的相关性。分析扩展到了2011年7月在马里兰州巴尔的摩市更大区域进行的DISCOVER-AQ任务的数据,以检验该方法在污染更严重的城市条件下(NO浓度通常要高得多)的性能。