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
27 citations as recorded by crossref.
- Institute for Marine and Atmospheric Research Utrecht (IMAU) Antarctic automatic weather station data, including surface radiation balance (1995–2022) M. van Tiggelen et al.
- Calibrated sea level contribution from the Amundsen Sea sector, West Antarctica, under RCP8.5 and Paris 2C scenarios S. Rosier et al.
- First results of the polar regional climate model RACMO2.4 C. van Dalum et al.
- Future changes in Antarctic near-surface winds: regional variability and key drivers under a high-emission scenario C. Davrinche et al.
- Deep learning-based reconstruction of monthly Antarctic surface air temperatures from 1979 to 2023 Z. Ma et al.
- Model performance and surface impacts of atmospheric river events in Antarctica M. Kolbe et al.
- Dataset of spatially extensive long-term quality-assured land–atmosphere interactions over the Tibetan Plateau Y. Ma et al.
- Firn on ice sheets C. Amory et al.
- Spatiotemporal patterns and propagation of polar amplification among Earth's three poles based on climate network T. Ma et al.
- Making the case for a two-step evaluation of regional climate models: application to the melt-over-accumulation ratio in Antarctica in RACMO2.3p2 J. Esch et al.
- Performance of a 179-year high-resolution climate simulation of Southern Alaska S. Königseder et al.
- Freeze-thaw process boosts penguin-derived NH3 emissions and enhances climate-relevant particles formation in Antarctica R. Tian et al.
- Cirques in the Transantarctic Mountains reveal controls on glacier formation and landscape evolution I. Barr et al.
- Responses of thermokarst pond dynamics to climate change on Inexpressible Island, Antarctica (1987–2023) Y. Zhang et al.
- Decoupling of δ18O from surface temperature in Antarctica in an ensemble of historical simulations S. Goursaud Oger et al.
- Recent changes in antarctic surface air temperature based on the fusion of satellite and in-situ measurements S. Xie et al.
- The Antarctic Amplification Based on MODIS Land Surface Temperature and ERA5 A. Xie et al.
- Challenges in surface mass balance estimation at Dome C: stake farm comparisons, measurement uncertainties, and station-induced biases C. Stefanini et al.
- Future Antarctic amplification from extreme temperature indices for different socioeconomic scenarios and time periods J. Zhu et al.
- A thinner-than-present West Antarctic Ice Sheet in the southern Weddell Sea Embayment during the Holocene D. Small et al.
- Detection of Long-Term Climatic Patterns in Polar Weather Using Time Series Analysis V. Samy et al.
- The surface mass balance and near-surface climate of the Antarctic ice sheet in RACMO2.4p1 C. van Dalum et al.
- Data-Driven Baseline Analysis of Climate Variability at an Antarctic AWS (2020–2024) A. Ashok et al.
- MODIS land surface temperature in East Antarctica: accuracy and its main affecting factors Z. Zhai et al.
- An extensive investigation of the ability of the ICOLMDZ model to simulate a katabatic wind event in Antarctica V. Wiener et al.
- Near-surface wind speed trends and variability over the Antarctic Peninsula, 1979–2022 M. Andres-Martin et al.
- Revealing firn structure at Dome A region in East Antarctica using cultural seismic noise Z. Song et al.
27 citations as recorded by crossref.
- Institute for Marine and Atmospheric Research Utrecht (IMAU) Antarctic automatic weather station data, including surface radiation balance (1995–2022) M. van Tiggelen et al.
- Calibrated sea level contribution from the Amundsen Sea sector, West Antarctica, under RCP8.5 and Paris 2C scenarios S. Rosier et al.
- First results of the polar regional climate model RACMO2.4 C. van Dalum et al.
- Future changes in Antarctic near-surface winds: regional variability and key drivers under a high-emission scenario C. Davrinche et al.
- Deep learning-based reconstruction of monthly Antarctic surface air temperatures from 1979 to 2023 Z. Ma et al.
- Model performance and surface impacts of atmospheric river events in Antarctica M. Kolbe et al.
- Dataset of spatially extensive long-term quality-assured land–atmosphere interactions over the Tibetan Plateau Y. Ma et al.
- Firn on ice sheets C. Amory et al.
- Spatiotemporal patterns and propagation of polar amplification among Earth's three poles based on climate network T. Ma et al.
- Making the case for a two-step evaluation of regional climate models: application to the melt-over-accumulation ratio in Antarctica in RACMO2.3p2 J. Esch et al.
- Performance of a 179-year high-resolution climate simulation of Southern Alaska S. Königseder et al.
- Freeze-thaw process boosts penguin-derived NH3 emissions and enhances climate-relevant particles formation in Antarctica R. Tian et al.
- Cirques in the Transantarctic Mountains reveal controls on glacier formation and landscape evolution I. Barr et al.
- Responses of thermokarst pond dynamics to climate change on Inexpressible Island, Antarctica (1987–2023) Y. Zhang et al.
- Decoupling of δ18O from surface temperature in Antarctica in an ensemble of historical simulations S. Goursaud Oger et al.
- Recent changes in antarctic surface air temperature based on the fusion of satellite and in-situ measurements S. Xie et al.
- The Antarctic Amplification Based on MODIS Land Surface Temperature and ERA5 A. Xie et al.
- Challenges in surface mass balance estimation at Dome C: stake farm comparisons, measurement uncertainties, and station-induced biases C. Stefanini et al.
- Future Antarctic amplification from extreme temperature indices for different socioeconomic scenarios and time periods J. Zhu et al.
- A thinner-than-present West Antarctic Ice Sheet in the southern Weddell Sea Embayment during the Holocene D. Small et al.
- Detection of Long-Term Climatic Patterns in Polar Weather Using Time Series Analysis V. Samy et al.
- The surface mass balance and near-surface climate of the Antarctic ice sheet in RACMO2.4p1 C. van Dalum et al.
- Data-Driven Baseline Analysis of Climate Variability at an Antarctic AWS (2020–2024) A. Ashok et al.
- MODIS land surface temperature in East Antarctica: accuracy and its main affecting factors Z. Zhai et al.
- An extensive investigation of the ability of the ICOLMDZ model to simulate a katabatic wind event in Antarctica V. Wiener et al.
- Near-surface wind speed trends and variability over the Antarctic Peninsula, 1979–2022 M. Andres-Martin et al.
- Revealing firn structure at Dome A region in East Antarctica using cultural seismic noise Z. Song et al.
Saved (final revised paper)
Latest update: 28 Apr 2026
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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