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MAX-DOAS observations of the total atmospheric water vapour column and comparison with independent observations

机译:大气总水蒸气柱的MAX-DOAS观测值以及与独立观测值的比较

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摘要

We developed an algorithm for the retrieval of the atmospheric water vapour column from Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations in the yellow and red spectral range. The retrieval is based on the so-called geometric approximation and does not depend on explicit a priori information for individual observations, extensive radiative transfer simulations, or the construction of large look-up tables. Disturbances of the radiative transfer due to aerosols and clouds are simply corrected using the simultaneously measured absorptions of the oxygen dimer, O_4. We applied our algorithm to MAX-DOAS observations made at the Max Planck Institute for Chemistry in Mainz, Germany, from March to August 2011, and compared the results to independent observations. Good agreement with Aerosol Robotic Network (AERONET) and European Centre for Medium-Range Weather Forecasting (ECMWF) H_2O vertical column densities (VCDs) is found, while the agreement with satellite observations is less good, most probably caused by the shielding effect of clouds for the satellite observations. Good agreement is also found with near-surface in situ observations, and it was possible to derive average daily H_2O scale heights (between 1.5 km and 3 km). MAX-DOAS measurements use cheap and simple instrumentation and can be run automatically. One important advantage of our algorithm is that the H_2O VCD can be retrieved even under cloudy conditions (except clouds with very high optical thickness).
机译:我们开发了一种算法,用于从黄色和红色光谱范围内的多轴差分光学吸收光谱(MAX-DOAS)观测值中检索大气水汽柱。该检索基于所谓的几何近似,并且不依赖于用于单个观测,广泛的辐射传输模拟或大型查找表的构造的显式先验信息。使用同时测量的氧气二聚体O_4的吸收,可以简单地校正由于气溶胶和云造成的辐射传递扰动。我们将算法应用于2011年3月至2011年8月在德国美因兹的马克斯·普朗克化学研究所进行的MAX-DOAS观测中,并将结果与​​独立观测进行了比较。与气溶胶机器人网络(AERONET)和欧洲中距离天气预报中心(ECMWF)的H_2O垂直列密度(VCDs)达成了良好的协议,而与卫星观测的协议则不太好,这很可能是由于云的屏蔽作用引起的用于卫星观测。在近地表原位观测中也发现了很好的一致性,并且有可能推导出日均H_2O尺度高度(在1.5 km和3 km之间)。 MAX-DOAS测量使用廉价且简单的仪器,并且可以自动运行。我们算法的一个重要优点是,即使在多云条件下(光学厚度非常高的云除外),也可以检索H_2O VCD。

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