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 |
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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 |
| _version_ | 1797944788563001344 |
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| author | Y. Wang X. Zhang W. Ning M. A. Lazzara M. Ding C. H. Reijmer P. C. J. P. Smeets P. Grigioni P. Heil P. Heil E. R. Thomas D. Mikolajczyk L. J. Welhouse L. M. Keller Z. Zhai Y. Sun S. Hou |
| author_facet | Y. Wang X. Zhang W. Ning M. A. Lazzara M. Ding C. H. Reijmer P. C. J. P. Smeets P. Grigioni P. Heil P. Heil E. R. Thomas D. Mikolajczyk L. J. Welhouse L. M. Keller Z. Zhai Y. Sun S. Hou |
| author_sort | Y. Wang |
| collection | DOAJ |
| description | <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> |
| first_indexed | 2024-04-10T20:45:12Z |
| format | Article |
| id | doaj.art-cdf1bc90075740a39ea95e61b4c580aa |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-10T20:45:12Z |
| publishDate | 2023-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-cdf1bc90075740a39ea95e61b4c580aa2023-01-24T09:11:07ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-01-011541142910.5194/essd-15-411-2023The AntAWS dataset: a compilation of Antarctic automatic weather station observationsY. Wang0X. Zhang1W. Ning2M. A. Lazzara3M. Ding4C. H. Reijmer5P. C. J. P. Smeets6P. Grigioni7P. Heil8P. Heil9E. R. Thomas10D. Mikolajczyk11L. J. Welhouse12L. M. Keller13Z. Zhai14Y. Sun15S. Hou16College of Geography and Environment, Shandong Normal University, Jinan 250014, ChinaCollege of Geography and Environment, Shandong Normal University, Jinan 250014, ChinaCollege of Geography and Environment, Shandong Normal University, Jinan 250014, ChinaAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USAState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the NetherlandsInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the NetherlandsLaboratory for Measurements and Observations for Environment and Climate, ENEA, 00123 Rome, ItalyAustralian Antarctic Division, Kingston, Tasmania 7050, AustraliaAustralian Antarctic Program Partnership, University of Tasmania, Hobart, Tasmania 7001, AustraliaBritish Antarctic Survey, Cambridge, UKAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USAAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USAAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USACollege of Geography and Environment, Shandong Normal University, Jinan 250014, ChinaCollege of Geography and Environment, Shandong Normal University, Jinan 250014, ChinaSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China<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>https://essd.copernicus.org/articles/15/411/2023/essd-15-411-2023.pdf |
| spellingShingle | Y. Wang X. Zhang W. Ning M. A. Lazzara M. Ding C. H. Reijmer P. C. J. P. Smeets P. Grigioni P. Heil P. Heil E. R. Thomas D. Mikolajczyk L. J. Welhouse L. M. Keller Z. Zhai Y. Sun S. Hou The AntAWS dataset: a compilation of Antarctic automatic weather station observations Earth System Science Data |
| title | The AntAWS dataset: a compilation of Antarctic automatic weather station observations |
| title_full | The AntAWS dataset: a compilation of Antarctic automatic weather station observations |
| title_fullStr | The AntAWS dataset: a compilation of Antarctic automatic weather station observations |
| title_full_unstemmed | The AntAWS dataset: a compilation of Antarctic automatic weather station observations |
| title_short | The AntAWS dataset: a compilation of Antarctic automatic weather station observations |
| title_sort | antaws dataset a compilation of antarctic automatic weather station observations |
| url | https://essd.copernicus.org/articles/15/411/2023/essd-15-411-2023.pdf |
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