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A simple and versatile cloud-screening method for MAX-DOAS retrievals

机译:一种用于MAX-DOAS检索的简单通用的云筛选方法

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We present a cloud-screening method based on differential optical absorption spectroscopy (DOAS) measurements, more specifically using intensity measurements and Osub4/sub differential slant-column densities (DSCDs). Using the colour index (CI), i.e. the ratio of the radiance at two wavelengths, we define different sky conditions including clear, thin clouds/polluted, fully-cloudy, and heavily polluted. We also flag the presence of broken and scattered clouds. The Osub4/sub absorption is a good tracer for cloud-induced light-path changes and is used to detect clouds and discriminate between instances of high aerosol optical depth (AOD) and high cloud optical depth (COD). brbr We apply our cloud screening to MAX-DOAS (multi-axis DOAS) retrievals at three different sites with different typical meteorological conditions, more specifically suburban Beijing (39.75° N, 116.96° E), Brussels (50.78° N, 4.35° E) and Jungfraujoch (46.55° N, 7.98° E). We find that our cloud screening performs well characterizing the different sky conditions. The flags based on the colour index are able to detect changes in visibility due to aerosols and/or (scattered) clouds. The Osub4/sub-based multiple-scattering flag is able to detect optically thick clouds, and is needed to correctly identify clouds for sites with extreme aerosol pollution. Removing data taken under cloudy conditions results in a better agreement, in both correlation and slope, between the MAX-DOAS AOD retrievals and measurements from other co-located instruments.
机译:我们提出了一种基于差分光学吸收光谱(DOAS)测量的云遮蔽方法,更具体地说是使用强度测量和O 4 差分斜柱密度(DSCD)。使用颜色指数(CI),即两个波长下的辐射比,我们定义了不同的天空条件,包括晴朗,薄云/被污染,完全多云和被严重污染。我们还标记存在破碎和分散的云。 O 4 吸收是云引起的光路变化的良好示踪剂,用于检测云并区分高气溶胶光学深度(AOD)和高云光学深度(COD)实例。 我们将云筛查应用于具有不同典型气象条件的三个不同地点的MAX-DOAS(多轴DOAS)检索,尤其是北京郊区(北纬39.75°,东经116.96°),布鲁塞尔(50.78°) N,4.35°E)和少女峰(46.55°N,7.98°E)。我们发现,我们的云筛查能够很好地表征不同的天空条件。基于颜色索引的标记能够检测到由于气溶胶和/或(分散的)云而引起的可见性变化。基于O 4 的多重散射标记能够检测光学上较厚的云,对于正确地识别具有极高气溶胶污染场所的云而言,这是必需的。删除在多云条件下获取的数据,可以使MAX-DOAS AOD取回和其他同地仪器的测量结果在相关性和斜率上更好地吻合。

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