Abstract. In situ meteorological data are essential to better understand ongoing environmental changes in the Arctic. Here, we present a dataset of quality-controlled meteorological observations by two automatic weather stations in northwest Greenland from July 2012 to the end of August 2020. The stations were installed in an accumulation area on the Greenland Ice Sheet (SIGMA-A site, 1490 m a.s.l.) and near the equilibrium line of the Qaanaaq Ice Cap (SIGMA-B site, 944 m a.s.l.). We describe the two-step sequence of quality-control procedures that we used to create increasingly reliable datasets by masking erroneous data records. We analyzed the resulting 2012–2020 time series of air temperature, positive degree-days, snow height, surface albedo, and histograms of longwave radiation (a proxy of cloud formation frequency). We found that snow height increased and albedo remained steady at the SIGMA-A site, whereas high air temperatures and clear-sky conditions prevailed while snow height and albedo decreased in the summers of 2015, 2019, and 2020 at the SIGMA-B site. Therefore, it appears that these weather conditions led to notable snow height degradation at the SIGMA-B site but not at the SIGMA-A site. We anticipate that this quality-control method and these datasets will aid in climate studies of northwest Greenland as well as contribute to the advancement of broader polar climate studies.

中文翻译：

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格陵兰岛西北部 SIGMA 自动气象站的质量控制气象数据集，2012–2020 年

摘要。现场气象数据对于更好地了解北极持续的环境变化至关重要。在这里，我们提供了 2012 年 7 月至 2020 年 8 月底由格陵兰西北部两个自动气象站进行的质量控制气象观测数据集。这些气象站安装在格陵兰冰原的聚集区（SIGMA-A 站点，1490 m asl) 和 Qaanaaq 冰盖的平衡线附近（SIGMA-B 站点，944 m asl）。我们描述了我们用来通过屏蔽错误数据记录来创建越来越可靠的数据集的质量控制程序的两步序列。我们分析了由此产生的 2012-2020 年气温、正度数日、积雪高度、地表反照率和长波辐射直方图（云形成频率的代表）的时间序列。我们发现 SIGMA-A 站点的积雪高度增加且反照率保持稳定，而 SIGMA-B 站点在 2015 年、2019 年和 2020 年夏季普遍存在高温和晴空条件，而积雪高度和反照率下降。因此，这些天气条件似乎导致 SIGMA-B 站点的雪高度显着下降，但 SIGMA-A 站点没有。我们预计这种质量控制方法和这些数据集将有助于格陵兰岛西北部的气候研究，并有助于推动更广泛的极地气候研究。这些天气条件似乎导致 SIGMA-B 站点的雪高度显着下降，但 SIGMA-A 站点没有。我们预计这种质量控制方法和这些数据集将有助于格陵兰岛西北部的气候研究，并有助于推动更广泛的极地气候研究。这些天气条件似乎导致 SIGMA-B 站点的雪高度显着下降，但 SIGMA-A 站点没有。我们预计这种质量控制方法和这些数据集将有助于格陵兰岛西北部的气候研究，并有助于推动更广泛的极地气候研究。