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Twenty-five years of cloud base height measurements by ceilometer in Ny-?lesund, Svalbard

机译:使用云高仪在斯瓦尔巴特群岛Ny-lesund进行的25年云基高度测量

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Abstract. Clouds are a key factor for the Arctic amplification of global warming, but their actual appearance and distribution are still afflicted by large uncertainty. On the Arctic-wide scale, large discrepancies are found between the various reanalyses and satellite products, respectively. Although ground-based observations by remote sensing are limited to point measurements, they have the advantage of obtaining extended time series of vertically resolved cloud properties. Here, we present a 25-year data record of cloud base height measured by ceilometer at the Ny-?lesund, Svalbard, Arctic site. We explain the composition of the three sub-periods with different instrumentation contributing to the data set, and show examples of potential application areas. Linked to cyclonic activity, the cloud base height provides essential information for the interpretation of the surface radiation balance and contributes to the understanding of meteorological processes. Furthermore, it is a useful auxiliary component for the analysis of advanced technologies that provide insight into cloud microphysical properties, like the cloud radar. The long-term time series also allows derivation of an annual cycle of the cloud occurrence frequency, revealing the more frequent cloud cover in summer and the lowest cloud cover amount in April. However, as the use of different ceilometer instruments over the years potentially imposed inhomogeneities onto the data record, any long-term trend analysis should be avoided.The Ny-?lesund cloud base height data from August?1992 to July?2017 are provided in a high temporal resolution of 5min (1min) before (after) July?1998, respectively, at the PANGAEA repository (https://doi.org/10.1594/PANGAEA.880300).
机译:抽象。云是北极加剧全球变暖的关键因素,但其实际外观和分布仍然受到较大不确定性的影响。在整个北极范围内,各种再分析和卫星产品之间分别存在较大差异。尽管通过遥感进行的地面观测仅限于点测量,但是它们具有获得延长的垂直分辨云属性时间序列的优势。在这里,我们展示了由云高仪在北极斯瓦尔巴特群岛Ny-lesund测得的25年云底高度数据记录。我们解释了使用不同仪器来构成数据集的三个子时段的组成,并显示了潜在应用领域的示例。与气旋活动有关,云的基本高度为解释表面辐射平衡提供了重要信息,并有助于理解气象过程。此外,它是有用的辅助组件,可用于分析高级技术,从而深入了解云微物理特性,例如云雷达。长期时间序列还可以推算出云的发生频率的年度周期,从而揭示了夏季更频繁的云量和4月最低的云量。但是,由于多年来使用不同的云高仪仪器可能会导致数据记录不均匀,因此应避免进行任何长期趋势分析.1992年8月至2017年7月的Ny-lesund云基高数据提供于在PANGEA储存库(https://doi.org/10.1594/PANGAEA.880300)上分别在1998年7月之前(之后)具有5分钟(1分钟)的高时间分辨率。

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