Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-411-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-411-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The AntAWS dataset: a compilation of Antarctic automatic weather station observations
College of Geography and Environment, Shandong Normal University,
Jinan 250014, China
Xueying Zhang
College of Geography and Environment, Shandong Normal University,
Jinan 250014, China
Wentao Ning
College of Geography and Environment, Shandong Normal University,
Jinan 250014, China
Matthew A. Lazzara
Antarctic Meteorological Research and Data Center, Space Science and
Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USA
Minghu Ding
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Carleen H. Reijmer
Institute for Marine and Atmospheric Research Utrecht, Utrecht
University, Utrecht, the Netherlands
Paul C. J. P. Smeets
Institute for Marine and Atmospheric Research Utrecht, Utrecht
University, Utrecht, the Netherlands
Paolo Grigioni
Laboratory for Measurements and Observations for Environment and
Climate, ENEA, 00123 Rome, Italy
Petra Heil
Australian Antarctic Division, Kingston, Tasmania 7050, Australia
Australian Antarctic Program Partnership, University of Tasmania,
Hobart, Tasmania 7001, Australia
Elizabeth R. Thomas
British Antarctic Survey, Cambridge, UK
David Mikolajczyk
Antarctic Meteorological Research and Data Center, Space Science and
Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USA
Lee J. Welhouse
Antarctic Meteorological Research and Data Center, Space Science and
Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USA
Linda M. Keller
Antarctic Meteorological Research and Data Center, Space Science and
Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USA
Zhaosheng Zhai
College of Geography and Environment, Shandong Normal University,
Jinan 250014, China
Yuqi Sun
College of Geography and Environment, Shandong Normal University,
Jinan 250014, China
School of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China
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Cited
10 citations as recorded by crossref.
- Decoupling of δ18O from surface temperature in Antarctica in an ensemble of historical simulations S. Goursaud Oger et al. 10.5194/cp-20-2539-2024
- Firn on ice sheets C. Amory et al. 10.1038/s43017-023-00507-9
- The Antarctic Amplification Based on MODIS Land Surface Temperature and ERA5 A. Xie et al. 10.3390/rs15143540
- First results of the polar regional climate model RACMO2.4 C. van Dalum et al. 10.5194/tc-18-4065-2024
- MODIS land surface temperature in East Antarctica: accuracy and its main affecting factors Z. Zhai et al. 10.1017/jog.2024.17
- Near-surface wind speed trends and variability over the Antarctic Peninsula, 1979–2022 M. Andres-Martin et al. 10.1016/j.atmosres.2024.107568
- Cirques in the Transantarctic Mountains reveal controls on glacier formation and landscape evolution I. Barr et al. 10.1016/j.geomorph.2023.108970
- Dataset of spatially extensive long-term quality-assured land–atmosphere interactions over the Tibetan Plateau Y. Ma et al. 10.5194/essd-16-3017-2024
- The AntAWS dataset: a compilation of Antarctic automatic weather station observations Y. Wang et al. 10.5194/essd-15-411-2023
- First results of the polar regional climate model RACMO2.4 C. van Dalum et al. 10.5194/tc-18-4065-2024
8 citations as recorded by crossref.
- Decoupling of δ18O from surface temperature in Antarctica in an ensemble of historical simulations S. Goursaud Oger et al. 10.5194/cp-20-2539-2024
- Firn on ice sheets C. Amory et al. 10.1038/s43017-023-00507-9
- The Antarctic Amplification Based on MODIS Land Surface Temperature and ERA5 A. Xie et al. 10.3390/rs15143540
- First results of the polar regional climate model RACMO2.4 C. van Dalum et al. 10.5194/tc-18-4065-2024
- MODIS land surface temperature in East Antarctica: accuracy and its main affecting factors Z. Zhai et al. 10.1017/jog.2024.17
- Near-surface wind speed trends and variability over the Antarctic Peninsula, 1979–2022 M. Andres-Martin et al. 10.1016/j.atmosres.2024.107568
- Cirques in the Transantarctic Mountains reveal controls on glacier formation and landscape evolution I. Barr et al. 10.1016/j.geomorph.2023.108970
- Dataset of spatially extensive long-term quality-assured land–atmosphere interactions over the Tibetan Plateau Y. Ma et al. 10.5194/essd-16-3017-2024
Latest update: 13 Dec 2024
Short summary
Here we construct a new database of Antarctic automatic weather station (AWS) 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.
Here we construct a new database of Antarctic automatic weather station (AWS) meteorological...
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