The AntAWS dataset: a compilation of Antarctic automatic weather station observations
The AntAWS dataset: a compilation of Antarctic automatic weather station observations
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DOI：
10.5194/essd-15-411-2023
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发表时间：
2023-01
影响因子：
11.4
通讯作者：
Yetang Wang;Xueying Zhang;Wentao Ning;M. Lazzara;M. Ding;C. Reijmer;P. Smeets;P. Grigioni;P. Heil;E. Thomas;David E. Mikolajczyk;L. J. Welhouse;L. Keller;Zhao-Hui Zhai;Yuqi Sun;S. Hou
中科院分区：
文献类型：
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作者：
Yetang Wang;Xueying Zhang;Wentao Ning;M. Lazzara;M. Ding;C. Reijmer;P. Smeets;P. Grigioni;P. Heil;E. Thomas;David E. Mikolajczyk;L. J. Welhouse;L. Keller;Zhao-Hui Zhai;Yuqi Sun;S. Hou
抽象的。本文介绍了一个由南极自动气象站3小时分辨率、日分辨率和月分辨率得到的新的气象数据集(这里称为AntAWS数据集)，其中包括质量控制信息。该数据集综合了从1980年到2021年获得的267个南极AWS的气温、气压、相对湿度、风速和风向的测量结果。自动气象站的空间分布仍然不均匀，大部分仪器位于近海地区，只有少数位于南极东部高原的内陆地区。在这267个AWS中，有63个已运作超过20年，其中27个超过30年。在五个气象参数中，气温的测量具有最好的连续性和最高的数据完整性。这一全面汇编观测的总体目标是使这些数据更容易、更广泛地用于地方、区域和大陆研究；这些数据可在https://doi.org/10.48567/key7-ch19上获取(Wang等人，2022年)。这一数据集对于改善整个南极大陆表面气候学的特征，增进我们对南极表面雪-大气相互作用的理解，包括与大气河流有关的降水事件，以及评估区域气候模型或气象再分析产品，是非常宝贵的。
Abstract. A new meteorological dataset derived from records of Antarctic automatic weather stations (here called the AntAWS dataset) at 3 h, daily and monthly resolutions including quality control information is presented here. This dataset integrates the measurements of air temperature, air pressure, relative humidity, and wind speed and direction from 267 Antarctic AWSs obtained from 1980 to 2021. The AWS spatial distribution remains heterogeneous, with the majority of instruments located in near-coastal areas and only a few inland on the East Antarctic Plateau. Among these 267 AWSs, 63 have been operating for more than 20 years and 27 of them in excess of more than 30 years. Of the five meteorological parameters, the measurements of air temperature have the best continuity and the highest data integrity. The overarching aim of this comprehensive compilation of AWS observations is to make these data easily and widely accessible for efficient use in local, regional and continental studies; it may be accessed at https://doi.org/10.48567/key7-ch19 (Wang et al., 2022). This dataset is invaluable for improved characterization of the surface climatology across the Antarctic continent, to improve our understanding of Antarctic surface snow–atmosphere interactions including precipitation events associated with atmospheric rivers and to evaluate regional climate models or meteorological reanalysis products.