The AntAWS dataset: a compilation of Antarctic automatic weather station observations
Wang, Y.; Zhang, X.; Ning, W.; Lazzara, M. A.; Ding, Minghu; Reijmer, C. H.; Smeets, P. C. J. P.; Grigioni, P.; Heil, P.; Thomas, Elizabeth R.; Mikolajczyk, D.; Welhouse, L. J.; Keller, L. M.; Zhai, Z.; Sun, Y.; Hou, S.
(2023) Earth System Science Data, volume 15, issue 1, pp. 411 - 429
(Article)
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
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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 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.
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Keywords: Atmospheric boundary-layer, Autumn, Climate, Dome-c, Reanalyses, Ross ice shelf, Surface mass-balance, Temperature, Tower, Wind-field, General Earth and Planetary Sciences
ISSN: 1866-3516
Publisher: Copernicus Publications
Note: Funding Information: This work was provided by the National Natural Science Foundation of China (41971081, 41830644 and 42122047), the National Key Research and Development Program of China (2020YFA0608202), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070103), the Project for Outstanding Youth Innovation Team in the Universities of Shandong Province (2019KJH011) and the Basic Research Fund of the Chinese Academy of Meteorological Sciences (2021Y021 and 2021Z006). This work is also supported by funding to the University of Wisconsin-Madison and Madison Area Technical College from the US National Science Foundation Office of Polar Programs (1924730, 1951720, and 1951603) and by the Australian Antarctic Program under projects AAS187, 4007, 5032 and 4506. Petra Heil was supported by grant funding from the Australian government as part of the Antarctic Science Collaboration Initiative program (ASCI000002; Australian Antarctic Program Partnership) and the International Space Science Institute (Switzerland) Project 405. Publisher Copyright: © 2023 Copernicus GmbH. All rights reserved.
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