Preprints
https://doi.org/10.5194/essd-2022-241
https://doi.org/10.5194/essd-2022-241
 
11 Aug 2022
11 Aug 2022
Status: this preprint is currently under review for the journal ESSD.

The AntAWS dataset: a compilation of Antarctic automatic weather station observations

Yetang Wang1,, Xueying Zhang1,, Wentao Ning1, Matthew A. Lazzara2, Minghu Ding3, Carleen H. Reijmer4, Paul C. J. P. Smeets4, Paolo Grigioni5, Elizabeth R. Thomas6, Zhaosheng Zhai1, Yuqi Sun1, and Shugui Hou7 Yetang Wang et al.
  • 1College of Geography and Environment, Shandong Normal University, Jinan 250014, China
  • 2Antarctic Meteorological Research Center, Space Science and Engineering Center, University of Wisconsin—Madison, Madison, Wisconsin
  • 3State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 4Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherland
  • 5Laboratory for Measurements and Observations for Environment and Climate, ENEA, 00123 Rome, Italy
  • 6British Antarctic Survey, Cambridge, UK
  • 7School of Oceanography, Shanghai Jiao Tong University, Shanghai, 200240, China
  • These authors contributed equally to this work.

Abstract. A new dataset of meteorological records from Antarctic automatic weather stations (here called AntAWS dataset) at 3-hourly, daily and monthly resolutions is constructed with quality control. This dataset compiles the measurements of air temperature, air pressure, relative humidity, and wind speed and direction from 216 AWSs available during 1980–2021. Their spatial distribution remains heterogeneous, with a majority of instrumented sites located on the coastal areas, and less at the inland East Antarctic Plateau. Among the 216 AWSs, 55 of them have the records spanning more than 20 years, and 25 of them spanning more than 30 years. Among the five meteorological parameters, the air temperature measurement data have the best continuity and the highest data integrity. The comprehensive compilation of AWS observations has the main aim to make them easy and time-saving to be used for local, regional and continental studies, which can be accessed at https://doi.org/10.48567/key7-ch19 (Wang et al., 2022). This dataset will be valuable for better characterizing surface climatology throughout the continent of Antarctica, improving our understanding of Antarctic surface snow-atmosphere interactions, and estimating regional climate models or meteorological reanalysis products.

Yetang Wang et al.

Status: open (until 11 Oct 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2022-241', Ian Allison, 19 Aug 2022 reply
  • RC1: 'Comment on essd-2022-241', Chang-Qing Ke, 30 Aug 2022 reply
  • CC2: 'Comment on essd-2022-241', Christophe Genthon, 13 Sep 2022 reply
  • CC3: 'Comment on essd-2022-241', Ting Wei, 21 Sep 2022 reply

Yetang Wang et al.

Data sets

AntAWS Dataset: A compilation of Antarctic automatic weather station observations. Wang, Y., Zhang, X., Ning, W., Lazzara, M. A., Ding, M., Reijmer C., Smeets P., Grigioni, P., Thomas, E. R., Zhai Z., Sun Y., and Hou, S. https://amrdcdata.ssec.wisc.edu/dataset/antaws-dataset

Yetang Wang et al.

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Short summary
Here we construct a new database of Antarctic automatic weather (AWS) station meteorological records, which is quality-controlled by restrictive criteria. This dataset compiled all available Antarctic AWS observations, and its resolutions are 3-hourly, daily and monthly, which is very useful for quantifying spatiotemporal variability in weather conditions. Furthermore, this compilation will be used to estimate the performance of the regional climate models or meteorological reanalysis products.