The warming of the Arctic climate is well documented, but the mechanisms of Arctic amplification are still not fully understood. Thus, monitoring of glaciological and meteorological variables and the environmental response to accelerated climate warming must be continued and developed in Svalbard. Long-term meteorological observations carried out in situ on glaciers in conjunction with glaciological monitoring are rare in the Arctic and significantly expand our knowledge about processes in the polar environment. This study presents glaciological and meteorological data collected for 2009–2020 in southern Spitsbergen (Werenskioldbreen). The meteorological data are composed of air temperature, relative humidity, wind speed, short-wave and long-wave upwelling and downwelling radiation on 10 min, hourly and daily resolution (2009–2020). The snow dataset includes 49 data records from 2009 to 2019 with the snow depth, snow bulk density and snow water equivalent data. The glaciological data consist of seasonal and annual surface mass balance measurements (point and glacier-wide) for 2009–2020. The paper also includes modelling of the daily glacier surface ablation (2009–2020) based on the presented data. The datasets are expected to serve as local forcing data in hydrological and glaciological models as well as validation of calibration of remote sensing products. The datasets are available from the Polish Polar Database (https://ppdb.us.edu.pl/, last access: 24 May 2022) and Zenodo (https://doi.org/10.5281/zenodo.6528321, Ignatiuk, 2021a; https://doi.org/10.5281/zenodo.5792168, Ignatiuk, 2021b).

中文翻译：

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北极十年的冰川和气象观测（Werenskioldbreen，斯瓦尔巴）

北极气候变暖有据可查，但北极放大的机制仍未完全了解。因此，斯瓦尔巴群岛必须继续和发展对冰川学和气象变量的监测以及对加速气候变暖的环境响应。结合冰川监测对冰川进行的长期气象观测在北极很少见，这极大地扩展了我们对极地环境过程的了解。本研究介绍了 2009-2020 年在斯匹次卑尔根南部 (Werenskioldbreen) 收集的冰川学和气象数据。气象数据由气温、相对湿度、风速、短波和长波上升流和下降流辐射10分钟、每小时和每日分辨率（2009-2020）组成。雪数据集包括 2009 年至 2019 年的 49 条数据记录，包括雪深、雪容重和雪水当量数据。冰川学数据包括 2009-2020 年的季节和年度地表质量平衡测量值（点和冰川范围）。该论文还包括基于所提供数据的每日冰川表面消融（2009-2020 年）的建模。预计这些数据集将用作水文和冰川模型中的当地强迫数据，以及验证遥感产品的校准。数据集可从波兰极地数据库（该论文还包括基于所提供数据的每日冰川表面消融（2009-2020 年）的建模。预计这些数据集将用作水文和冰川模型中的当地强迫数据，以及验证遥感产品的校准。数据集可从波兰极地数据库（该论文还包括基于所提供数据的每日冰川表面消融（2009-2020 年）的建模。预计这些数据集将用作水文和冰川模型中的当地强迫数据，以及验证遥感产品的校准。数据集可从波兰极地数据库（https://ppdb.us.edu.pl/，最后访问时间：2022 年 5 月 24 日）和 Zenodo（https://doi.org/10.5281/zenodo.6528321，Ignatiuk，2021a；https://doi.org/10.5281 /zenodo.5792168，伊格纳修克，2021b）。