The AntAWS dataset: a compilation of Antarctic automatic weather station observations
<p>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...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-01-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/411/2023/essd-15-411-2023.pdf |
| Summary: | <p>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 <a href="https://doi.org/10.48567/key7-ch19">https://doi.org/10.48567/key7-ch19</a> (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.</p> |
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| ISSN: | 1866-3508 1866-3516 |