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首页> 外文期刊>Atmospheric Measurement Techniques >Absolute calibration of the colour index and Osub4/sub absorption derived from Multi AXis (MAX-)DOAS measurements and their application to a standardised cloud classification algorithm
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Absolute calibration of the colour index and Osub4/sub absorption derived from Multi AXis (MAX-)DOAS measurements and their application to a standardised cloud classification algorithm

机译:源自多轴(MAX-)DOAS测量的颜色指数和O 4 吸收的绝对校准及其在标准化云分类算法中的应用

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A method is developed for the calibration of the colour index (CI) and the Osub4/sub absorption derived from differential optical absorption spectroscopy (DOAS) measurements of scattered sunlight. The method is based on the comparison of measurements and radiative transfer simulations for well-defined atmospheric conditions and viewing geometries. Calibrated measurements of the CI and the Osub4/sub absorption are important for the detection and classification of clouds from MAX-DOAS observations. Such information is needed for the identification and correction of the cloud influence on Multi AXis (MAX-)DOAS profile inversion results, but might be also be of interest on their own, e.g. for meteorological applications. The calibration algorithm was successfully applied to measurements at two locations: Cabauw in the Netherlands and Wuxi in China. We used CI and Osub4/sub observations calibrated by the new method as input for our recently developed cloud classification scheme and also adapted the corresponding threshold values accordingly. For the observations at Cabauw, good agreement is found with the results of the original algorithm. Together with the calibration procedure of the CI and Osub4/sub absorption, the cloud classification scheme, which has been tuned to specific locations/conditions so far, can now be applied consistently to MAX-DOAS measurements at different locations. In addition to the new threshold values, further improvements were introduced to the cloud classification algorithm, namely a better description of the SZA (solar zenith angle) dependence of the threshold values and a new set of wavelengths for the determination of the CI. We also indicate specific areas for future research to further improve the cloud classification scheme.
机译:提出了一种用于色散指数(CI)和O 4 吸收的校准方法,该方法源自散射光的差分光学吸收光谱法(DOAS)测量。该方法基于对定义明确的大气条件和观测几何形状的测量和辐射传输模拟的比较。 CI和O 4 吸收率的校准测量对于从MAX-DOAS观测中检测和分类云非常重要。此类信息对于云对多轴(MAX-)DOAS配置文件反演结果的影响的识别和校正是必需的,但它们本身可能也很有趣,例如,用于气象应用。校准算法已成功应用于两个地点的测量:荷兰的Cabauw和中国的无锡。我们将通过新方法校准的CI和O 4 观测值用作我们最近开发的云分类方案的输入,并相应地调整了相应的阈值。对于Cabauw的观测,发现与原始算法的结果有很好的一致性。结合CI和O 4 吸收的校准程序,迄今为止已针对特定位置/条件进行了调整的云分类方案现在可以一致地应用于不同位置的MAX-DOAS测量。除了新的阈值之外,云分类算法还引入了进一步的改进,即更好地描述了阈值的SZA(太阳天顶角)依赖性以及用于确定CI的一组新波长。我们还指出了需要进一步研究的特定领域,以进一步改善云分类方案。

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