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A dataset of microphysical cloud parameters, retrieved from Emission-FTIR spectra measured in Arctic summer 2017
Earth System Science Data ( IF 11.2 ) Pub Date : 2021-09-06 , DOI: 10.5194/essd-2021-284
Philipp Richter , Mathias Palm , Christine Weinzierl , Hannes Griesche , Penny M. Rowe , Justus Notholt

Abstract. A dataset of microphysical cloud parameters from optically thin clouds, retrieved from infrared spectral radiances measured in summer 2017 in the Arctic, is presented. Measurements were conducted using a mobile Fourier-transform infrared (FTIR) spectrometer which was carried by the RV Polarstern. This dataset contains retrieved optical depths and effective radii of ice and water, from which the liquid water path and ice water path are calculated. These water paths and the effective radii are compared with derived quantities from a combined cloud radar, lidar and microwave radiometer measurement synergy retrieval, called Cloudnet. Comparing the liquid water paths from the infrared retrieval and Cloudnet shows significant correlations with a standard deviation of 8.60 g · m−2. Although liquid water path retrievals from microwave radiometer data come with a uncertainty of at least 20 g · m−2, a significant correlation and a standard deviation of 5.32 g · m−2 between the results of clouds with a liquid water path of at most 20 g · m−2 retrieved from infrared spectra and results from Cloudnet can be seen. Therefore, despite its large uncertainty, the comparison with data retrieved from infrared spectra shows that optically thin clouds of the measurement campaign in summer 2017 can be observed well using microwave radiometers within the Cloudnet framework. Apart from this, the dataset of microphysical cloud properties presented here allows to perform calculations of the cloud radiative effects, when the Cloudnet data from the campaign are not available, which was from the 22nd July 2017 until the 19th August 2017. The dataset is published at Pangaea (Richter et al., 2021).

中文翻译:

从 2017 年北极夏季测量的 Emission-FTIR 光谱中检索的微物理云参数数据集

摘要。介绍了从 2017 年夏季在北极测量的红外光谱辐射中检索到的光学薄云的微物理云参数数据集。使用由 RV Polarstern携带的移动式傅里叶变换红外 (FTIR) 光谱仪进行测量。该数据集包含检索到的冰水光学深度和有效半径,从中可以计算出液态水路径和冰水路径。将这些水路和有效半径与云雷达、激光雷达和微波辐射计测量协同反演(称为 Cloudnet)组合的导出量进行比较。比较来自红外检索和 Cloudnet 的液态水路径显示出显着相关性,标准偏差为 8.60 g · m -2. 尽管从微波辐射计数据中反演液态水路径的不确定性至少为 20 g · m -2,但液态水路径至多为 5.32 g · m -2的云的结果之间存在显着的相关性和标准偏差20 克·米-2可以看到从红外光谱和 Cloudnet 中检索的结果。因此,尽管不确定性很大,但与从红外光谱中检索到的数据的比较表明,使用 Cloudnet 框架内的微波辐射计可以很好地观察 2017 年夏季测量活动的光学薄云。除此之外,当活动中的 Cloudnet 数据不可用时(从 2017 年 7 月 22 日到 2017 年 8 月 19 日),此处提供的微物理云属性数据集允许执行云辐射效应的计算。该数据集已发布在 Pangea(Richter 等人,2021 年)。
更新日期:2021-09-06
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