Airborne in situ vertical profiling of HDO / H 2 16 O in the subtropical troposphere during the MUSICA remote sensing validation campaign
Airborne in situ vertical profiling of HDO / H 2 16 O in the subtropical troposphere during the MUSICA remote sensing validation campaign
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MUSICA 遥感验证活动期间副热带对流层 HDO / H 2 16 O 机载原位垂直剖面
DOI：
10.5194/amt-8-2037-2015
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发表时间：
2015
影响因子：
3.8
通讯作者：
M. Schneider
中科院分区：
文献类型：
--
作者：
C. Dyroff;S. Sanati;E. Christner;A. Zahn;M. Balzer;H. Bouquet;J. McManus;Y. González;M. Schneider
抽象的。为研究大气水(MUSICA)空中运动的循环，在多平台同位异物遥感中，用δ-II半导体激光光谱仪现场测量了水汽(H2O)的垂直剖面及其同位素比值D/H(H2O)。我们介绍了最近对仪器设计的修改。介绍了仪器在地面和飞行中的标定方法。在定标测量的基础上，确定了我们机载数据的湿度不确定度。对于大多数机载数据，我们获得了Δ(δD)A10‰的精度(平均值的不确定性)。2013年7月和8月，在特内里费岛附近的副热带北大西洋上空的7天时间里，获得了150到7000米之间的垂直剖面。这些飞行与地面(大气成分变化探测网络)和天基(红外大气探测干涉仪)δD(H2O)红外遥感测量相协调，以验证遥感湿度和δD(H2O)数据产品。验证的结果在另一篇论文中详细介绍(Schneider等人，2014)。通过分析湿度和δD(H2O)的相关性，我们能够用特定的同位素特征识别不同的气团层。并对结果进行了讨论。
Abstract. Vertical profiles of water vapor (H2O) and its isotope ratio D / H expressed as δD(H2O) were measured in situ by the ISOWAT II diode-laser spectrometer during the MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water (MUSICA) airborne campaign. We present recent modifications of the instrument design. The instrument calibration on the ground as well as in flight is described. Based on the calibration measurements, the humidity-dependent uncertainty of our airborne data is determined. For the majority of the airborne data we achieved an accuracy (uncertainty of the mean) of Δ(δD) a10‰. Vertical profiles between 150 and ~7000 m were obtained during 7 days in July and August 2013 over the subtropical North Atlantic Ocean near Tenerife. The flights were coordinated with ground-based (Network for the Detection of Atmospheric Composition Change, NDACC) and space-based (Infrared Atmospheric Sounding Interferometer, IASI) FTIR remote sensing measurements of δD(H 2O) as a means to validate the remote sensing humidity and δD(H2O) data products. The results of the validation are presented in detail in a separate paper (Schneider et al., 2014). The profiles were obtained with a high vertical resolution of around 3 m. By analyzing humidity and δD(H2O) correlations we were able to identify different layers of air masses with specific isotopic signatures. The results are discussed.
MUSICA对流层δD遥感产品附加值的实证验证和证明
影响因子：
3.8
作者：
Schneider;González;Dyroff;Christner;Wiegele;Barthlott;García;Sepúlveda;Andrey;Blumenstock;Guirado;Rodríguez
通讯作者：
Rodríguez