Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-5019-2022
© Author(s) 2022. 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-14-5019-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Nov 2022
Data description paper |
| 15 Nov 2022
| 15 Nov 2022
The PANDA automatic weather station network between the coast and Dome A, East Antarctica
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Xiaowei Zou
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
GNSS Research Center, Wuhan University, Wuhan 430079, China
Qizhen Sun
Polar Research and Forecasting Division, National Marine Environmental
Forecasting Center, Beijing 100081, China
Diyi Yang
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Wenqian Zhang
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Lingen Bian
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Changgui Lu
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Ian Allison
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart,
Australia
Petra Heil
Australian Antarctic Division and Australian Antarctic Program
Partnership, University of Tasmania, Hobart, Australia
Cunde Xiao
CORRESPONDING AUTHOR
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Beijing Normal University, Beijing 100875, China
Related authors
Tianming Ma, Zhuang Jiang, Minghu Ding, Yuansheng Li, Wenqian Zhang, and Lei Geng
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-76, https://doi.org/10.5194/tc-2023-76, 2023
Preprint under review for TC
Short summary
Short summary
We constructed a box model to evaluate the isotope effects of atmosphere-snow water vapor exchange at Dome A, Antarctica. The results show a clear and invisible diurnal cycle in surface snow isotopes under summer and winter conditions, respectively. After a 24-hour period, the model predicts a depletion in snow δ18O and δD under winter conditions, opposite to those in summer. The results suggest that annually atmosphere-snow water vapor exchange causes little isotope changes at the study site.
Yueli Chen, Xingwu Duan, Minghu Ding, Wei Qi, Ting Wei, Jianduo Li, and Yun Xie
Earth Syst. Sci. Data, 14, 2681–2695, https://doi.org/10.5194/essd-14-2681-2022, https://doi.org/10.5194/essd-14-2681-2022, 2022
Short summary
Short summary
We reconstructed the first annual rainfall erosivity dataset for the Tibetan Plateau in China. The dataset covers 71 years in a 0.25° grid. The reanalysis precipitation data are employed in combination with the densely spaced in situ precipitation observations to generate the dataset. The dataset can supply fundamental data for quantifying the water erosion, and extend our knowledge of the rainfall-related hazard prediction on the Tibetan Plateau.
Minghu Ding, Tong Zhang, Diyi Yang, Ian Allison, Tingfeng Dou, and Cunde Xiao
The Cryosphere, 15, 4201–4206, https://doi.org/10.5194/tc-15-4201-2021, https://doi.org/10.5194/tc-15-4201-2021, 2021
Short summary
Short summary
Measurement of snow heat conductivity is essential to establish the energy balance between the atmosphere and firn, but it is still not clear in Antarctica. Here, we used data from three automatic weather stations located in different types of climate and evaluated nine schemes that were used to calculate the effective heat diffusivity of snow. The best solution was proposed. However, no conductivity–density relationship was optimal at all sites, and the performance of each varied with depth.
Tingfeng Dou, Cunde Xiao, Jiping Liu, Qiang Wang, Shifeng Pan, Jie Su, Xiaojun Yuan, Minghu Ding, Feng Zhang, Kai Xue, Peter A. Bieniek, and Hajo Eicken
The Cryosphere, 15, 883–895, https://doi.org/10.5194/tc-15-883-2021, https://doi.org/10.5194/tc-15-883-2021, 2021
Short summary
Short summary
Rain-on-snow (ROS) events can accelerate the surface ablation of sea ice, greatly influencing the ice–albedo feedback. We found that spring ROS events have shifted to earlier dates over the Arctic Ocean in recent decades, which is correlated with sea ice melt onset in the Pacific sector and most Eurasian marginal seas. There has been a clear transition from solid to liquid precipitation, leading to a reduction in spring snow depth on sea ice by more than −0.5 cm per decade since the 1980s.
Minghu Ding, Biao Tian, Michael C. B. Ashley, Davide Putero, Zhenxi Zhu, Lifan Wang, Shihai Yang, Chuanjin Li, and Cunde Xiao
Earth Syst. Sci. Data, 12, 3529–3544, https://doi.org/10.5194/essd-12-3529-2020, https://doi.org/10.5194/essd-12-3529-2020, 2020
Short summary
Short summary
Dome A, is one of the harshest environments on Earth.To evaluate the characteristics of near-surface O3, continuous observations were carried out in 2016. The results showed different patterns between coastal and inland Antarctic areas that were characterized by high concentrations in cold seasons and at night. Short-range transport accounted for the O3 enhancement events (OEEs) during summer at DA, rather than efficient local production, which is consistent with previous studies.
O3 enhancement events(OEEs) at Dome A, East Antarctica
Minghu Ding, Biao Tian, Michael Ashley, Zhenxi Zhu, Lifan Wang, Shihai Yang, Chuanjin Li, Cunde Xiao, and Dahe Qin
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1042, https://doi.org/10.5194/acp-2019-1042, 2020
Revised manuscript not accepted
Short summary
Short summary
In 2016, the first observation of near-surface ozone was made at Dome A, the inaccessible pole. And based on the ERA-interim meteorological reanalysis data, we clearly found that there was strong transportation from stratosphere to troposphere during polar night at Dome A. This work provides unique information of ozone variation in Dome A and expands our knowledge in Antarctica.
Tingfeng Dou, Zhiheng Du, Shutong Li, Yulan Zhang, Qi Zhang, Mingju Hao, Chuanjin Li, Biao Tian, Minghu Ding, and Cunde Xiao
The Cryosphere, 13, 3309–3316, https://doi.org/10.5194/tc-13-3309-2019, https://doi.org/10.5194/tc-13-3309-2019, 2019
Short summary
Short summary
The meltwater scavenging coefficient (MSC) determines the BC enrichment in the surface layer of melting snow and therefore modulates the BC-snow-albedo feedbacks. This study presents a new method for MSC estimation over the sea-ice area in Arctic. Using this new method, we analyze the spatial variability of MSC in the western Arctic and demonstrate that the value in Canada Basin (23.6 % ± 2.1 %) ≈ that in Greenland (23.0 % ± 12.5 %) > that in Chukchi Sea (17.9 % ± 5.0 %) > that in Elson Lagoon (14.5 % ± 2.6 %).
Yuzhe Wang, Tong Zhang, Jiawen Ren, Xiang Qin, Yushuo Liu, Weijun Sun, Jizu Chen, Minghu Ding, Wentao Du, and Dahe Qin
The Cryosphere, 12, 851–866, https://doi.org/10.5194/tc-12-851-2018, https://doi.org/10.5194/tc-12-851-2018, 2018
Short summary
Short summary
We combine in situ measurements and an ice flow model to study the thermomechanical features of Laohugou Glacier No. 12, the largest valley glacier on Qilian Shan. We reveal that this glacier, once considered to be extremely continental or cold, is actually polythermal with a lower temperate ice layer over a large region of the ablation area. Strain heating and latent heat due to meltwater refreezing in the firn zone play critical roles in controlling the thermal regime of this glacier.
Tong Zhang, William Colgan, Agnes Wansing, Anja Løkkegaard, Gunter Leguy, William H. Lipscomb, and Cunde Xiao
The Cryosphere, 18, 387–402, https://doi.org/10.5194/tc-18-387-2024, https://doi.org/10.5194/tc-18-387-2024, 2024
Short summary
Short summary
The geothermal heat flux determines how much heat enters from beneath the ice sheet, and thus impacts the temperature and the flow of the ice sheet. In this study we investigate how much geothermal heat flux impacts the initialization of the Greenland ice sheet. We use the Community Ice Sheet Model with two different initialization methods. We find a non-trivial influence of the choice of heat flow boundary conditions on the ice sheet initializations for further designs of ice sheet modeling.
Tianming Ma, Zhuang Jiang, Minghu Ding, Yuansheng Li, Wenqian Zhang, and Lei Geng
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-76, https://doi.org/10.5194/tc-2023-76, 2023
Preprint under review for TC
Short summary
Short summary
We constructed a box model to evaluate the isotope effects of atmosphere-snow water vapor exchange at Dome A, Antarctica. The results show a clear and invisible diurnal cycle in surface snow isotopes under summer and winter conditions, respectively. After a 24-hour period, the model predicts a depletion in snow δ18O and δD under winter conditions, opposite to those in summer. The results suggest that annually atmosphere-snow water vapor exchange causes little isotope changes at the study site.
Elizabeth R. Thomas, Diana O. Vladimirova, Dieter R. Tetzner, B. Daniel Emanuelsson, Nathan Chellman, Daniel A. Dixon, Hugues Goosse, Mackenzie M. Grieman, Amy C. F. King, Michael Sigl, Danielle G. Udy, Tessa R. Vance, Dominic A. Winski, V. Holly L. Winton, Nancy A. N. Bertler, Akira Hori, Chavarukonam M. Laluraj, Joseph R. McConnell, Yuko Motizuki, Kazuya Takahashi, Hideaki Motoyama, Yoichi Nakai, Franciéle Schwanck, Jefferson Cardia Simões, Filipe Gaudie Ley Lindau, Mirko Severi, Rita Traversi, Sarah Wauthy, Cunde Xiao, Jiao Yang, Ellen Mosely-Thompson, Tamara V. Khodzher, Ludmila P. Golobokova, and Alexey A. Ekaykin
Earth Syst. Sci. Data, 15, 2517–2532, https://doi.org/10.5194/essd-15-2517-2023, https://doi.org/10.5194/essd-15-2517-2023, 2023
Short summary
Short summary
The concentration of sodium and sulfate measured in Antarctic ice cores is related to changes in both sea ice and winds. Here we have compiled a database of sodium and sulfate records from 105 ice core sites in Antarctica. The records span all, or part, of the past 2000 years. The records will improve our understanding of how winds and sea ice have changed in the past and how they have influenced the climate of Antarctica over the past 2000 years.
Haihan Hu, Jiechen Zhao, Petra Heil, Zhiliang Qin, Jingkai Ma, Fengming Hui, and Xiao Cheng
The Cryosphere, 17, 2231–2244, https://doi.org/10.5194/tc-17-2231-2023, https://doi.org/10.5194/tc-17-2231-2023, 2023
Short summary
Short summary
The oceanic characteristics beneath sea ice significantly affect ice growth and melting. The high-frequency and long-term observations of oceanic variables allow us to deeply investigate their diurnal and seasonal variation and evaluate their influences on sea ice evolution. The large-scale sea ice distribution and ocean circulation contributed to the seasonal variation of ocean variables, revealing the important relationship between large-scale and local phenomena.
Siyang Cheng, Xinghong Cheng, Jianzhong Ma, Xiangde Xu, Wenqian Zhang, Jinguang Lv, Gang Bai, Bing Chen, Siying Ma, Steffen Ziegler, Sebastian Donner, and Thomas Wagner
Atmos. Chem. Phys., 23, 3655–3677, https://doi.org/10.5194/acp-23-3655-2023, https://doi.org/10.5194/acp-23-3655-2023, 2023
Short summary
Short summary
We made mobile MAX-DOAS measurements in the background atmosphere over the Tibetan Plateau in summer 2021. We retrieved the tropospheric NO2 and HCHO vertical column densities (VCDs) along extended driving routes and found a decreasing trend of the VCDs with altitude. Elevated NO2 VCDs along the driving routes could be attributed to enhanced traffic emissions from the towns crossed. The spatio-temporal distribution of the HCHO VCDs correlated strongly with the surface temperature.
Na Li, Ruibo Lei, Petra Heil, Bin Cheng, Minghu Ding, Zhongxiang Tian, and Bingrui Li
The Cryosphere, 17, 917–937, https://doi.org/10.5194/tc-17-917-2023, https://doi.org/10.5194/tc-17-917-2023, 2023
Short summary
Short summary
The observed annual maximum landfast ice (LFI) thickness off Zhongshan (Davis) was 1.59±0.17 m (1.64±0.08 m). Larger interannual and local spatial variabilities for the seasonality of LFI were identified at Zhongshan, with the dominant influencing factors of air temperature anomaly, snow atop, local topography and wind regime, and oceanic heat flux. The variability of LFI properties across the study domain prevailed at interannual timescales, over any trend during the recent decades.
Yetang Wang, Xueying Zhang, Wentao Ning, Matthew A. Lazzara, Minghu Ding, Carleen H. Reijmer, Paul C. J. P. Smeets, Paolo Grigioni, Petra Heil, Elizabeth R. Thomas, David Mikolajczyk, Lee J. Welhouse, Linda M. Keller, Zhaosheng Zhai, Yuqi Sun, and Shugui Hou
Earth Syst. Sci. Data, 15, 411–429, https://doi.org/10.5194/essd-15-411-2023, https://doi.org/10.5194/essd-15-411-2023, 2023
Short summary
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.
Zhiheng Du, Jiao Yang, Lei Wang, Ninglian Wang, Anders Svensson, Zhen Zhang, Xiangyu Ma, Yaping Liu, Shimeng Wang, Jianzhong Xu, and Cunde Xiao
Earth Syst. Sci. Data, 14, 5349–5365, https://doi.org/10.5194/essd-14-5349-2022, https://doi.org/10.5194/essd-14-5349-2022, 2022
Short summary
Short summary
A dataset of the radiogenic strontium and neodymium isotopic compositions from the three poles (the third pole, the Arctic, and Antarctica) were integrated to obtain new findings. The dataset enables us to map the standardized locations in the three poles, while the use of sorting criteria related to the sample type permits us to trace the dust sources and sinks. The purpose of this dataset is to try to determine the variable transport pathways of dust at three poles.
Yueli Chen, Xingwu Duan, Minghu Ding, Wei Qi, Ting Wei, Jianduo Li, and Yun Xie
Earth Syst. Sci. Data, 14, 2681–2695, https://doi.org/10.5194/essd-14-2681-2022, https://doi.org/10.5194/essd-14-2681-2022, 2022
Short summary
Short summary
We reconstructed the first annual rainfall erosivity dataset for the Tibetan Plateau in China. The dataset covers 71 years in a 0.25° grid. The reanalysis precipitation data are employed in combination with the densely spaced in situ precipitation observations to generate the dataset. The dataset can supply fundamental data for quantifying the water erosion, and extend our knowledge of the rainfall-related hazard prediction on the Tibetan Plateau.
Fengguan Gu, Qinghua Yang, Frank Kauker, Changwei Liu, Guanghua Hao, Chao-Yuan Yang, Jiping Liu, Petra Heil, Xuewei Li, and Bo Han
The Cryosphere, 16, 1873–1887, https://doi.org/10.5194/tc-16-1873-2022, https://doi.org/10.5194/tc-16-1873-2022, 2022
Short summary
Short summary
The sea ice thickness was simulated by a single-column model and compared with in situ observations obtained off Zhongshan Station in the Antarctic. It is shown that the unrealistic precipitation in the atmospheric forcing data leads to the largest bias in sea ice thickness and snow depth modeling. In addition, the increasing snow depth gradually inhibits the growth of sea ice associated with thermal blanketing by the snow.
Tian R. Tian, Alexander D. Fraser, Noriaki Kimura, Chen Zhao, and Petra Heil
The Cryosphere, 16, 1299–1314, https://doi.org/10.5194/tc-16-1299-2022, https://doi.org/10.5194/tc-16-1299-2022, 2022
Short summary
Short summary
This study presents a comprehensive validation of a satellite observational sea ice motion product in Antarctica by using drifting buoys. Two problems existing in this sea ice motion product have been noticed. After rectifying problems, we use it to investigate the impacts of satellite observational configuration and timescale on Antarctic sea ice kinematics and suggest the future improvement of satellite missions specifically designed for retrieval of sea ice motion.
Joey J. Voermans, Qingxiang Liu, Aleksey Marchenko, Jean Rabault, Kirill Filchuk, Ivan Ryzhov, Petra Heil, Takuji Waseda, Takehiko Nose, Tsubasa Kodaira, Jingkai Li, and Alexander V. Babanin
The Cryosphere, 15, 5557–5575, https://doi.org/10.5194/tc-15-5557-2021, https://doi.org/10.5194/tc-15-5557-2021, 2021
Short summary
Short summary
We have shown through field experiments that the amount of wave energy dissipated in landfast ice, sea ice attached to land, is much larger than in broken ice. By comparing our measurements against predictions of contemporary wave–ice interaction models, we determined which models can explain our observations and which cannot. Our results will improve our understanding of how waves and ice interact and how we can model such interactions to better forecast waves and ice in the polar regions.
Minghu Ding, Tong Zhang, Diyi Yang, Ian Allison, Tingfeng Dou, and Cunde Xiao
The Cryosphere, 15, 4201–4206, https://doi.org/10.5194/tc-15-4201-2021, https://doi.org/10.5194/tc-15-4201-2021, 2021
Short summary
Short summary
Measurement of snow heat conductivity is essential to establish the energy balance between the atmosphere and firn, but it is still not clear in Antarctica. Here, we used data from three automatic weather stations located in different types of climate and evaluated nine schemes that were used to calculate the effective heat diffusivity of snow. The best solution was proposed. However, no conductivity–density relationship was optimal at all sites, and the performance of each varied with depth.
Yetang Wang, Minghu Ding, Carleen H. Reijmer, Paul C. J. P. Smeets, Shugui Hou, and Cunde Xiao
Earth Syst. Sci. Data, 13, 3057–3074, https://doi.org/10.5194/essd-13-3057-2021, https://doi.org/10.5194/essd-13-3057-2021, 2021
Short summary
Short summary
Accurate observation of surface mass balance (SMB) under climate change is essential for the reliable present and future assessment of Antarctic contribution to global sea level. This study presents a new quality-controlled dataset of Antarctic SMB observations at different temporal resolutions and is the first ice-sheet-scale compilation of multiple types of measurements. The dataset can be widely applied to climate model validation, remote sensing retrievals, and data assimilation.
Diana Francis, Kyle S. Mattingly, Stef Lhermitte, Marouane Temimi, and Petra Heil
The Cryosphere, 15, 2147–2165, https://doi.org/10.5194/tc-15-2147-2021, https://doi.org/10.5194/tc-15-2147-2021, 2021
Short summary
Short summary
The unexpected September 2019 calving event from the Amery Ice Shelf, the largest since 1963 and which occurred almost a decade earlier than expected, was triggered by atmospheric extremes. Explosive twin polar cyclones provided a deterministic role in this event by creating oceanward sea surface slope triggering the calving. The observed record-anomalous atmospheric conditions were promoted by blocking ridges and Antarctic-wide anomalous poleward transport of heat and moisture.
Shihe Ren, Xi Liang, Qizhen Sun, Hao Yu, L. Bruno Tremblay, Bo Lin, Xiaoping Mai, Fu Zhao, Ming Li, Na Liu, Zhikun Chen, and Yunfei Zhang
Geosci. Model Dev., 14, 1101–1124, https://doi.org/10.5194/gmd-14-1101-2021, https://doi.org/10.5194/gmd-14-1101-2021, 2021
Short summary
Short summary
Sea ice plays a crucial role in global energy and water budgets. To get a better simulation of sea ice, we coupled a sea ice model with an atmospheric and ocean model to form a fully coupled system. The sea ice simulation results of this coupled system demonstrated that a two-way coupled model has better performance in terms of sea ice, especially in summer. This indicates that sea-ice–ocean–atmosphere interaction plays a crucial role in controlling Arctic summertime sea ice distribution.
Tingfeng Dou, Cunde Xiao, Jiping Liu, Qiang Wang, Shifeng Pan, Jie Su, Xiaojun Yuan, Minghu Ding, Feng Zhang, Kai Xue, Peter A. Bieniek, and Hajo Eicken
The Cryosphere, 15, 883–895, https://doi.org/10.5194/tc-15-883-2021, https://doi.org/10.5194/tc-15-883-2021, 2021
Short summary
Short summary
Rain-on-snow (ROS) events can accelerate the surface ablation of sea ice, greatly influencing the ice–albedo feedback. We found that spring ROS events have shifted to earlier dates over the Arctic Ocean in recent decades, which is correlated with sea ice melt onset in the Pacific sector and most Eurasian marginal seas. There has been a clear transition from solid to liquid precipitation, leading to a reduction in spring snow depth on sea ice by more than −0.5 cm per decade since the 1980s.
Minghu Ding, Biao Tian, Michael C. B. Ashley, Davide Putero, Zhenxi Zhu, Lifan Wang, Shihai Yang, Chuanjin Li, and Cunde Xiao
Earth Syst. Sci. Data, 12, 3529–3544, https://doi.org/10.5194/essd-12-3529-2020, https://doi.org/10.5194/essd-12-3529-2020, 2020
Short summary
Short summary
Dome A, is one of the harshest environments on Earth.To evaluate the characteristics of near-surface O3, continuous observations were carried out in 2016. The results showed different patterns between coastal and inland Antarctic areas that were characterized by high concentrations in cold seasons and at night. Short-range transport accounted for the O3 enhancement events (OEEs) during summer at DA, rather than efficient local production, which is consistent with previous studies.
Joey J. Voermans, Jean Rabault, Kirill Filchuk, Ivan Ryzhov, Petra Heil, Aleksey Marchenko, Clarence O. Collins III, Mohammed Dabboor, Graig Sutherland, and Alexander V. Babanin
The Cryosphere, 14, 4265–4278, https://doi.org/10.5194/tc-14-4265-2020, https://doi.org/10.5194/tc-14-4265-2020, 2020
Short summary
Short summary
In this work we demonstrate the existence of an observational threshold which identifies when waves are most likely to break sea ice. This threshold is based on information from two recent field campaigns, supplemented with existing observations of sea ice break-up. We show that both field and laboratory observations tend to converge to a single quantitative threshold at which the wave-induced sea ice break-up takes place, which opens a promising avenue for operational forecasting models.
Andrew E. Kiss, Andrew McC. Hogg, Nicholas Hannah, Fabio Boeira Dias, Gary B. Brassington, Matthew A. Chamberlain, Christopher Chapman, Peter Dobrohotoff, Catia M. Domingues, Earl R. Duran, Matthew H. England, Russell Fiedler, Stephen M. Griffies, Aidan Heerdegen, Petra Heil, Ryan M. Holmes, Andreas Klocker, Simon J. Marsland, Adele K. Morrison, James Munroe, Maxim Nikurashin, Peter R. Oke, Gabriela S. Pilo, Océane Richet, Abhishek Savita, Paul Spence, Kial D. Stewart, Marshall L. Ward, Fanghua Wu, and Xihan Zhang
Geosci. Model Dev., 13, 401–442, https://doi.org/10.5194/gmd-13-401-2020, https://doi.org/10.5194/gmd-13-401-2020, 2020
Short summary
Short summary
We describe new computer model configurations which simulate the global ocean and sea ice at three resolutions. The coarsest resolution is suitable for multi-century climate projection experiments, whereas the finest resolution is designed for more detailed studies over time spans of decades. The paper provides technical details of the model configurations and an assessment of their performance relative to observations.
O3 enhancement events(OEEs) at Dome A, East Antarctica
Minghu Ding, Biao Tian, Michael Ashley, Zhenxi Zhu, Lifan Wang, Shihai Yang, Chuanjin Li, Cunde Xiao, and Dahe Qin
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1042, https://doi.org/10.5194/acp-2019-1042, 2020
Revised manuscript not accepted
Short summary
Short summary
In 2016, the first observation of near-surface ozone was made at Dome A, the inaccessible pole. And based on the ERA-interim meteorological reanalysis data, we clearly found that there was strong transportation from stratosphere to troposphere during polar night at Dome A. This work provides unique information of ozone variation in Dome A and expands our knowledge in Antarctica.
Tingfeng Dou, Zhiheng Du, Shutong Li, Yulan Zhang, Qi Zhang, Mingju Hao, Chuanjin Li, Biao Tian, Minghu Ding, and Cunde Xiao
The Cryosphere, 13, 3309–3316, https://doi.org/10.5194/tc-13-3309-2019, https://doi.org/10.5194/tc-13-3309-2019, 2019
Short summary
Short summary
The meltwater scavenging coefficient (MSC) determines the BC enrichment in the surface layer of melting snow and therefore modulates the BC-snow-albedo feedbacks. This study presents a new method for MSC estimation over the sea-ice area in Arctic. Using this new method, we analyze the spatial variability of MSC in the western Arctic and demonstrate that the value in Canada Basin (23.6 % ± 2.1 %) ≈ that in Greenland (23.0 % ± 12.5 %) > that in Chukchi Sea (17.9 % ± 5.0 %) > that in Elson Lagoon (14.5 % ± 2.6 %).
Ian Allison, Charles Fierz, Regine Hock, Andrew Mackintosh, Georg Kaser, and Samuel U. Nussbaumer
Hist. Geo Space. Sci., 10, 97–107, https://doi.org/10.5194/hgss-10-97-2019, https://doi.org/10.5194/hgss-10-97-2019, 2019
Short summary
Short summary
The International Association of Cryospheric Sciences (IACS) became the eighth and most recent association of IUGG in July 2007. IACS was launched in recognition of the importance of the cryosphere, particularly at a time of significant global change. The forbears of IACS, however, start with the 1894 Commission Internationale des Glaciers (CIG). This paper traces the transition from CIG to IACS; scientific objectives that drove activities and changes, and key events and individuals involved.
Tingfeng Dou, Cunde Xiao, Jiping Liu, Wei Han, Zhiheng Du, Andrew R. Mahoney, Joshua Jones, and Hajo Eicken
The Cryosphere, 13, 1233–1246, https://doi.org/10.5194/tc-13-1233-2019, https://doi.org/10.5194/tc-13-1233-2019, 2019
Short summary
Short summary
The variability and potential trends of rain-on-snow events over Arctic sea ice and their role in sea-ice losses are poorly understood. This study demonstrates that rain-on-snow events are a critical factor in initiating the onset of surface melt over Arctic sea ice, and onset of spring rainfall over sea ice has shifted to earlier dates since the 1970s, which may have profound impacts on ice melt through feedbacks involving earlier onset of surface melt.
Yuzhe Wang, Tong Zhang, Jiawen Ren, Xiang Qin, Yushuo Liu, Weijun Sun, Jizu Chen, Minghu Ding, Wentao Du, and Dahe Qin
The Cryosphere, 12, 851–866, https://doi.org/10.5194/tc-12-851-2018, https://doi.org/10.5194/tc-12-851-2018, 2018
Short summary
Short summary
We combine in situ measurements and an ice flow model to study the thermomechanical features of Laohugou Glacier No. 12, the largest valley glacier on Qilian Shan. We reveal that this glacier, once considered to be extremely continental or cold, is actually polythermal with a lower temperate ice layer over a large region of the ablation area. Strain heating and latent heat due to meltwater refreezing in the firn zone play critical roles in controlling the thermal regime of this glacier.
Nancy A. N. Bertler, Howard Conway, Dorthe Dahl-Jensen, Daniel B. Emanuelsson, Mai Winstrup, Paul T. Vallelonga, James E. Lee, Ed J. Brook, Jeffrey P. Severinghaus, Taylor J. Fudge, Elizabeth D. Keller, W. Troy Baisden, Richard C. A. Hindmarsh, Peter D. Neff, Thomas Blunier, Ross Edwards, Paul A. Mayewski, Sepp Kipfstuhl, Christo Buizert, Silvia Canessa, Ruzica Dadic, Helle A. Kjær, Andrei Kurbatov, Dongqi Zhang, Edwin D. Waddington, Giovanni Baccolo, Thomas Beers, Hannah J. Brightley, Lionel Carter, David Clemens-Sewall, Viorela G. Ciobanu, Barbara Delmonte, Lukas Eling, Aja Ellis, Shruthi Ganesh, Nicholas R. Golledge, Skylar Haines, Michael Handley, Robert L. Hawley, Chad M. Hogan, Katelyn M. Johnson, Elena Korotkikh, Daniel P. Lowry, Darcy Mandeno, Robert M. McKay, James A. Menking, Timothy R. Naish, Caroline Noerling, Agathe Ollive, Anaïs Orsi, Bernadette C. Proemse, Alexander R. Pyne, Rebecca L. Pyne, James Renwick, Reed P. Scherer, Stefanie Semper, Marius Simonsen, Sharon B. Sneed, Eric J. Steig, Andrea Tuohy, Abhijith Ulayottil Venugopal, Fernando Valero-Delgado, Janani Venkatesh, Feitang Wang, Shimeng Wang, Dominic A. Winski, V. Holly L. Winton, Arran Whiteford, Cunde Xiao, Jiao Yang, and Xin Zhang
Clim. Past, 14, 193–214, https://doi.org/10.5194/cp-14-193-2018, https://doi.org/10.5194/cp-14-193-2018, 2018
Short summary
Short summary
Temperature and snow accumulation records from the annually dated Roosevelt Island Climate Evolution (RICE) ice core show that for the past 2 700 years, the eastern Ross Sea warmed, while the western Ross Sea showed no trend and West Antarctica cooled. From the 17th century onwards, this dipole relationship changed. Now all three regions show concurrent warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea.
C. Xiao, R. Li, S. B. Sneed, T. Dou, and I. Allison
The Cryosphere Discuss., https://doi.org/10.5194/tcd-7-3611-2013, https://doi.org/10.5194/tcd-7-3611-2013, 2013
Revised manuscript not accepted
Related subject area
Domain: ESSD – Global | Subject: Meteorology
Global high-resolution drought indices for 1981–2022
ET-WB: water-balance-based estimations of terrestrial evaporation over global land and major global basins
Earth Virtualization Engines (EVE)
Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations
A Global Gridded Dataset for Cloud Vertical Structure from Combined CloudSat and CALIPSO Observations
GSDM-WBT: global station-based daily maximum wet-bulb temperature data for 1981–2020
STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China
Solomon H. Gebrechorkos, Jian Peng, Ellen Dyer, Diego G. Miralles, Sergio M. Vicente-Serrano, Chris Funk, Hylke E. Beck, Dagmawi T. Asfaw, Michael B. Singer, and Simon J. Dadson
Earth Syst. Sci. Data, 15, 5449–5466, https://doi.org/10.5194/essd-15-5449-2023, https://doi.org/10.5194/essd-15-5449-2023, 2023
Short summary
Short summary
Drought is undeniably one of the most intricate and significant natural hazards with far-reaching consequences for the environment, economy, water resources, agriculture, and societies across the globe. In response to this challenge, we have devised high-resolution drought indices. These indices serve as invaluable indicators for assessing shifts in drought patterns and their associated impacts on a global, regional, and local level facilitating the development of tailored adaptation strategies.
Jinghua Xiong, Abhishek, Li Xu, Hrishikesh A. Chandanpurkar, James S. Famiglietti, Chong Zhang, Gionata Ghiggi, Shenglian Guo, Yun Pan, and Bramha Dutt Vishwakarma
Earth Syst. Sci. Data, 15, 4571–4597, https://doi.org/10.5194/essd-15-4571-2023, https://doi.org/10.5194/essd-15-4571-2023, 2023
Short summary
Short summary
To overcome the shortcomings associated with limited spatiotemporal coverage, input data quality, and model simplifications in prevailing evaporation (ET) estimates, we developed an ensemble of 4669 unique terrestrial ET subsets using an independent mass balance approach. Long-term mean annual ET is within 500–600 mm yr−1 with a unimodal seasonal cycle and several piecewise trends during 2002–2021. The uncertainty-constrained results underpin the notion of increasing ET in a warming climate.
Bjorn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger, Jaana Bäck, Johanna Baehr, Peter Bauer, Natacha Bernier, Bob Bishop, Hendryk Bockelmann, Sandrine Bony, Veronique Bouchet, Guy Brasseur, David N. Bresch, Sean Breyer, Gilbert Brunet, Pier Luigi Buttigieg, Junji Cao, Christelle Castet, Yafang Cheng, Ayantika Dey Choudhury, Deborah Coen, Susanne Crewell, Atish Dabholkar, Qing Dai, Francisco Doblas-Reyes, Dale Durran, Ayoub El Gaidi, Charlie Ewen, Eleftheria Exarchou, Veronika Eyring, Florencia Falkinhoff, David Farrell, Piers M. Forster, Ariane Frassoni, Claudia Frauen, Oliver Fuhrer, Shahzad Gani, Edwin Gerber, Debra Goldfarb, Jens Grieger, Nicolas Gruber, Wilco Hazeleger, Rolf Herken, Chris Hewitt, Torsten Hoefler, Huang-Hsiung Hsu, Daniela Jacob, Alexandra Jahn, Christian Jakob, Thomas Jung, Christopher Kadow, In-Sik Kang, Sarah Kang, Karthik Kashinath, Katharina Kleinen-von Königslöw, Daniel Klocke, Uta Kloenne, Milan Klöwer, Chihiro Kodama, Stefan Kollet, Tobias Kölling, Jenni Kontkanen, Steve Kopp, Michal Koran, Markku Kulmala, Hanna Lappalainen, Fakhria Latifi, Bryan Lawrence, June Yi Lee, Quentin Lejeun, Christian Lessig, Chao Li, Thomas Lippert, Jürg Luterbacher, Pekka Manninen, Jochem Marotzke, Satoshi Matsouoka, Charlotte Merchant, Peter Messmer, Gero Michel, Kristel Michielsen, Tomoki Miyakawa, Jens Müller, Ramsha Munir, Sandeep Narayanasetti, Ousmane Ndiaye, Carlos Nobre, Achim Oberg, Riko Oki, Tuba Özkan-Haller, Tim Palmer, Stan Posey, Andreas Prein, Odessa Primus, Mike Pritchard, Julie Pullen, Dian Putrasahan, Johannes Quaas, Krishnan Raghavan, Venkatachalam Ramaswamy, Markus Rapp, Florian Rauser, Markus Reichstein, Aromar Revi, Sonakshi Saluja, Masaki Satoh, Vera Schemann, Sebastian Schemm, Christina Schnadt Poberaj, Thomas Schulthess, Cath Senior, Jagadish Shukla, Manmeet Singh, Julia Slingo, Adam Sobel, Silvina Solman, Jenna Spitzer, Detlef Stammer, Philip Stier, Thomas Stocker, Sarah Strock, Hang Su, Petteri Taalas, John Taylor, Susann Tegtmeier, Georg Teutsch, Adrian Tompkins, Uwe Ulbrich, Pier-Luigi Vidale, Chien-Ming Wu, Hao Xu, Najibullah Zaki, Laure Zanna, Tianjun Zhou, and Florian Ziemen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-376, https://doi.org/10.5194/essd-2023-376, 2023
Revised manuscript accepted for ESSD
Short summary
Short summary
To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines are proposed as international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change.
Jiye Leng, Jing M. Chen, Wenyu Li, Xiangzhong Luo, Mingzhu Xu, Jane Liu, Rong Wang, Cheryl Rogers, Bolun Li, and Yulin Yan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-328, https://doi.org/10.5194/essd-2023-328, 2023
Revised manuscript accepted for ESSD
Short summary
Short summary
We produced a long-term global two-leaf gross primary productivity (GPP) and evapotranspiration (ET) dataset at the hourly time step by integrating a diagnostic process-based model with dynamic parameterizations. The new dataset provides us with a unique opportunity to study carbon and water fluxes at sub-daily time scales and advance our understanding of ecosystem functions in response to transient environmental changes.
William Bertrand, Jennifer E. Kay, John Haynes, and Gijs de Boer
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-265, https://doi.org/10.5194/essd-2023-265, 2023
Revised manuscript accepted for ESSD
Short summary
Short summary
The vertical structure of clouds has a profound effect on global energy flows, air circulation, and the hydrologic cycle. Two satellite instruments, CloudSat radar and CALIPSO lidar, have taken complementary measurements of cloud vertical structure for over a decade. Here we present the 3S-GEOPROF-COMB product, a globally-gridded satellite data product combining CloudSat and CALIPSO observations of cloud vertical structure.
Jianquan Dong, Stefan Brönnimann, Tao Hu, Yanxu Liu, and Jian Peng
Earth Syst. Sci. Data, 14, 5651–5664, https://doi.org/10.5194/essd-14-5651-2022, https://doi.org/10.5194/essd-14-5651-2022, 2022
Short summary
Short summary
We produced a new dataset of global station-based daily maximum wet-bulb temperature (GSDM-WBT) through the calculation of wet-bulb temperature, data quality control, infilling missing values, and homogenization. The GSDM-WBT covers the complete daily series of 1834 stations from 1981 to 2020. The GSDM-WBT dataset handles stations with many missing values and possible inhomogeneities, which could better support the studies on global and regional humid heat events.
Yinghong Jing, Xinghua Li, and Huanfeng Shen
Earth Syst. Sci. Data, 14, 3137–3156, https://doi.org/10.5194/essd-14-3137-2022, https://doi.org/10.5194/essd-14-3137-2022, 2022
Short summary
Short summary
Snow variation is a vital factor in global climate change. Satellite-based approaches are effective for large-scale environmental monitoring. Nevertheless, the high cloud fraction seriously impedes the remote-sensed investigation. Therefore, a recent 20-year cloud-free snow cover collection in China is generated for the first time. This collection can serve as a basic dataset for hydrological and climatic modeling to explore various critical environmental issues.
Cited articles
Allison, I.: Surface climate of the interior of the Lambert Glacier basin,
Antarctica, from automatic weather station data, Ann. Glaciol., 27,
515–520, https://doi.org/10.3189/1998AoG27-1-515-520, 1998.
Allison, I. and Morrissy, J. V.: Automatic weather stations in Antarctica,
Austr. Meteorol. Mag., 31, 71–76, 1983.
Allison, I., Wendler, G., and Radok, U.: Climatology of the East Antarctic
ice sheet (100∘ E to 140∘ E) derived from automatic
weather stations, J. Geophys. Res.-Atmos., 98,
8815–8823, https://doi.org/10.1029/93JD00104, 1993.
Antarctic Meteorological Research and Data Center: Automatic Weather Station
quality-controlled observational data, AMRDC Data Repository [data set], https://doi.org/10.48567/1hn2-nw60, 2022.
Aristidi, E., Agabi, K., Azouit, M., Fossat, E., Vernin, J., Travouillon,
T., Lawrence, J. S., Meyer, C., Storey, J. W. V., Halter, B., Roth, W. L.,
and Walden, V.: An analysis of temperatures and wind speeds above Dome C,
Antarctica, Astron. Astrophys., 430, 739–746,
https://doi.org/10.1051/0004-6361:20041876, 2005.
Bian, L., Allison, I., Xiao, C., Ma, Y., Fu, L., and Ding, M.: Climate and
meteorological processes of the East Antarctic ice sheet between Zhongshan
and Dome-A, Adv. Polar Sci., 27, 90–101, https://doi.org/10.13679/j.advps.2016.2.00090, 2016.
Bromwich, D. H., Werner, K., Casati, B., Powers, J. G., Gorodetskaya, I. V.,
Massonnet, F., Vitale, V., Heinrich, V. J., Liggett, D., Arndt, S., Barja,
B., Bazile, E., Carpentier, S., Carrasco, J. F., Choi, T., Choi, Y.,
Colwell, S. R., Cordero, R. R., Gervasi, M., Haiden, T., Hirasawa, Na.,
Inoue, J., Jung, T., Kalesse, H., Kim, S. J., Lazzara, M. A., Manning, K. W.,
Norris, K., Park, S. J., Reid P.,, Rigor, I., Rowe, P. M., Schmithüsen,
H., Seifert, P., Sun, Q., Uttal, T., Zannoni, M., and Zou, X.: The Year of
Polar Prediction in the Southern Hemisphere (YOPP-SH), B. Am. Meteorol. Soc., 101, E1653–E1676,
https://doi.org/10.1175/BAMS-D-19-0255.1, 2020.
Chen, B., Zhang, R., Xiao, C., Bian, L., and Zhang, T.: Analyses on the air
and snow temperatures near ground with observations of an AWS at Dome A, the
summit of Antarctic Plateau, Chinese Sci. Bull., 55, 1048–1054,
https://doi.org/10.1007/s11434-010-0099-1, 2010.
Das, I., Bell, R. E., Scambos, T. A., Wolovick, M., Creyts, T. T.,
Studinger, M., Frearson, N., Nicolas, J. P., Lenaerts, J. T. M., and Van Den
Broeke, M. R.: Influence of persistent wind scour on the surface mass
balance of Antarctica, Nat. Geosci., 6, 367–371,
https://doi.org/10.1038/ngeo1766, 2013.
Ding, M., Xiao, C., Li, Y., Ren, J., Hou, S., Jin, B., and Sun, B.: Spatial
variability of surface mass balance along a traverse route from Zhongshan
station to Dome A, Antarctica, J. Glaciol., 57, 658–666,
https://doi.org/10.3189/002214311797409820, 2011.
Ding, M., Xiao, C., Li, C., Qin, D., Jin, B., Shi, G., Xie, A., and Cui, X.:
Surface mass balance and its climate significance from the coast to Dome A,
East Antarctica, Sci. China Earth Sci., 58, 1787–1797,
https://doi.org/10.1007/s11430-015-5083-9, 2015.
Ding, M., Yang, D., Van den Broeke, M. R., Allison, I., Xiao, C., Qin, D.,
and Huai, B.: The surface energy balance at Panda 1 station, Princess
Elizabeth Land: A typical katabatic wind region in East Antarctica, J.
Geophys. Res.-Atmos., 125, e2019JD030378,
https://doi.org/10.1029/2019JD030378, 2020a.
Ding, M., Tian, B., Ashley, M. C. B., Putero, D., Zhu, Z., Wang, L., Yang, S., Li, C., and Xiao, C.: Year-round record of near-surface ozone and O3 enhancement events (OEEs) at Dome A, East Antarctica, Earth Syst. Sci. Data, 12, 3529–3544, https://doi.org/10.5194/essd-12-3529-2020, 2020b.
Ding, M., Zhang, T., Yang, D., Allison, I., Dou, T., and Xiao, C.: Brief communication: Evaluation of multiple density-dependent empirical snow conductivity relationships in East Antarctica, The Cryosphere, 15, 4201–4206, https://doi.org/10.5194/tc-15-4201-2021, 2021a.
Ding, M., Du, F., Zhang, W., Wen, H., and Lu, C.: Battery system adapted to
polar ultra-low temperature environment and its temperature control method,
Beijing [patent], CN113659246A, 2021b.
Ding, M., Xiao, C., and Qin, D.: Explosive warming event in Antarctica on 18
March 2022 and its possible causes, Advances in Climate Change Research, 8, 384–388,
2022a
Ding, M., Zou, X., Sun, Q., Yang, D., Zhang, W., Bian, L., Lu, C., Allison,
I., Heil, P., and Xiao, C.: The PANDA automatic weather station network
between the coast and Dome A, East Antarcitca (1989–2021), A Big Earth Data
Platform for Three Poles, National Tibetan Plateau Data Cente [data set], https://doi.org/10.11888/Atmos.tpdc.272721, 2022b.
Dong, X., Wang, Y., Hou, S., Ding, M., Yin, B., and Zhang, Y.: Robustness of
the recent global atmospheric reanalyses for Antarctic near-surface wind
speed climatology, J. Climate, 33, 4027–4043,
https://doi.org/10.1175/JCLI-D-19-0648.1, 2020.
Enomoto, H., Warashina, H., Motoyama, H., Takahashi, S., and Koike, J.:
Data-logging automatic weather station along the traverse route from Syowa
Station to Dome Fuji, Proc. of the NIPR Symp. on Polar Meteorol. and
Glaciol., 9, 66–75, https://doi.org/10.15094/00003880, 1995.
Heil, P.: Atmospheric conditions and fast ice at Davis, East Antarctica: A
case study, J. Geophys. Res.-Oceans, 111, C05009
https://doi.org/10.1029/2005JC002904, 2006.
Heil, P., Hyland, G., and Alison, I.: Automatic Weather Station Data obtained at Dome A (Argus), Antarctica, Ver. 1, Australian Antarctic Data Centre [data set], https://doi.org/10.26179/brjy-g225, 2017.
Hines, K. M., Bromwich, D. H., Wang, S.-H., Silber, I., Verlinde, J., and Lubin, D.: Microphysics of summer clouds in central West Antarctica simulated by the Polar Weather Research and Forecasting Model (WRF) and the Antarctic Mesoscale Prediction System (AMPS), Atmos. Chem. Phys., 19, 12431–12454, https://doi.org/10.5194/acp-19-12431-2019, 2019.
Huai, B., Wang, Y., Ding, M., Zhang, J., and Dong, X.: An assessment of
recent global atmospheric reanalyses for Antarctic near surface air
temperature, Atmos. Res., 226, 181–191,
https://doi.org/10.1016/j.atmosres.2019.04.029, 2019.
Intergovernmental Panel on Climate Change (IPCC): IPCC special report on the ocean
and cryosphere in a changing climate, IPCC Geneva, https://www.ipcc.ch/srocc/ (last access: 1 November 2022), 2019.
King, J. C., Argentini, S. A., and Anderson, P. S.: Contrasts between the
summertime surface energy balance and boundary layer structure at Dome C and
Halley stations, Antarctica, J. Geophys. Res.-Atmos.,
111, D02105, https://doi.org/10.1029/2005JD006130, 2006.
Lazzara, M. A., Weidner, G. A., Keller, L. M., Thom, J. E., and Cassano, J.
J.: Antarctic automatic weather station program: 30 years of polar
observation, B. Am. Meteorol. Soc., 93,
1519–1537, https://doi.org/10.1175/BAMS-D-11-00015.1, 2012.
Ma, Y. and Bian, L.: A Surface Climatological Validation of ERA-interim
Reanalysis and NCEP FNL Analysis over East Antarctic, Chinese Journal of
Polar Research, 26, 469–480,
https://doi.org/10.13679/j.jdyj.2014.4.469, 2014.
Ma, Y., Bian, L., Xiao, C., and Allison, I.: Correction of snow accumulation
impacted on air temperature from automatic weather station on the Antarctic
Ice Sheet, Adv. Polar Sci., 20, 299–309,
2008.
Ma, Y., Bian, L., Xiao, C., Allison, I., and Zhou, X.: Near surface climate
of the traverse route from Zhongshan Station to Dome A, East Antarctica,
Antarct. Sci., 22, 443–459,
https://doi.org/10.1017/S0954102010000209, 2010.
Maturilli, M., Herber, A., and König-Langlo, G.: Climatology and time series of surface meteorology in Ny-Ålesund, Svalbard, Earth Syst. Sci. Data, 5, 155–163, https://doi.org/10.5194/essd-5-155-2013, 2013.
Nigro, M. A., Cassano, J. J., and Seefeldt, M. W.: A weather-pattern-based
approach to evaluate the Antarctic Mesoscale Prediction System (AMPS)
forecasts: Comparison to automatic weather station observations, Weather
Forecast., 26, 184–198,
https://doi.org/10.1175/2010WAF2222444.1, 2011.
Parish, T. and Bromwich, D.: The surface wind-field over the Antarctic ice
sheets, Nature, 328, 51–54, https://doi.org/10.1038/328051a0,
1987.
Qin, D. and Ren, J.: he Antarctic Glaciology, Science Press, Beijing, ISBN 7030090926, 2001.
Qin, T., Wei, L., and Ling, C.: The statistic and variance of cyclones enter
in scientific investigation station of China in Antarctic, Acta.
Oceanol. Sin., 39, 44–60,
https://doi.org/10.3969/j.issn.0253-4193.2017.05.005, 2017.
Radok, U., Allison, I., and Wendler, G.: Atmospheric surface pressure over
the interior of Antarctica, Antarct. Sci., 8, 209–217, 1996.
Reijmer, C. H. and Oerlemans, J.: Temporal and spatial variability of the
surface energy balance in Dronning Maud Land, East Antarctica, J.
Geophys. Res.-Atmos., 107, ACL9-1–ACL9-12, https://doi.org/10.1029/2000JD000110, 2002.
Schwerdtfeger, W.: Weather and climate of the Antarctic, Elsevier
Science, New York, 1984.
Smeets, P. C., Kuipers Munneke, P., Van As, D., van den Broeke, M. R., Boot,
W., Oerlemans, H., Snellen, H., Reijmer, C. H., and van de Wal, R. S.: The
K-transect in west Greenland: Automatic weather station data (1993–2016),
Arctic, Antarct. Alp. Res., 50, S100002,
https://doi.org/10.1080/15230430.2017.1420954, 2018.
Sun, Q. Z., Zhang, L., Meng, S., Shen, H., Ding, Z. M., and Zhang, Z. H.:
Meteorological observations and weather forecasting services of the CHINARE,
Adv. Polar Sci., 28, 291–299,
https://doi.org/10.13679/j.advps.2018.4.00291, 2018.
Turner, J., Colwell, S. R., Marshall, G. J., Lachlan-Cope, T. A., Carleton,
A. M., Jones, P. D., Lagun, V., Reid, P. A., and Iagovkina, S.: Antarctic
climate change during the last 50 years, International J.
Climatol., 25, 279–294, https://doi.org/10.1002/joc.1130,
2005.
Turner, J., Overland, J. E., and Walsh, J. E.: An Arctic and Antarctic
perspective on recent climate change, Int. J. Climatol.,
27, 277–293,
https://doi.org/10.1002/joc.1406, 2007.
Turner, J., Marshall, G. J., Clem, K., Colwell, S., Phillips, T., and Lu,
H.: Antarctic temperature variability and change from station data,
Int. J. Climatol., 40, 2986–3007,
https://doi.org/10.1002/joc.6378, 2020.
Van As, D., Van den Broeke, M. R., and Van De Wal, R.: Daily cycle of the
surface layer and energy balance on the high Antarctic Plateau, Antarct.
Sci., 17, 121–133,
https://doi.org/10.1017/S095410200500252X, 2005.
Van den Broeke, M. R. and Van Lipzig, N. P. M.: Factors controlling the
near-surface wind field in Antarctica, Mon. Weather Rev., 131,
733–743, https://doi.org/10.1175/1520-0493(2003)131<0733:FCTNSW>2.0.CO;2, 2003.
Van den Broeke, M. R., Van Lipzig, N. P. M., and Van Meijgaard, E.: Momentum
budget of the East Antarctic atmospheric boundary layer: Results of a
regional climate model, J. Atmos. Sci., 59,
3117–3129, https://doi.org/10.1175/1520-0469(2002)059<3117:MBOTEA>2.0.CO;2, 2002.
Van den Broeke, M. R., Reijmer, C. H., and Van De Wal, R.: Surface radiation
balance in Antarctica as measured with automatic weather stations, J.
Geophys. Res.-Atmos., 109, D09103,
https://doi.org/10.1029/2003JD004394, 2004a.
Van den Broeke, M. R., Reijmer, C. H., and Van De Wal, R. S.: A study of the
surface mass balance in Dronning Maud Land, Antarctica, using automatic
weather stations, J. Glaciol., 50, 565–582,
https://doi.org/10.3189/172756504781829756, 2004b.
Van den Broeke, M. R., Reijmer, C. H., Van As, D., Van de Wal, R., and
Oerlemans, J.: Seasonal cycles of Antarctic surface energy balance from
automatic weather stations, Ann. Glaciol., 41, 131–139,
https://doi.org/10.3189/172756405781813168, 2005.
Van Den Broeke, M. R., Reijmer, C. H., Van As, D., and Boot, W.: Daily cycle
of the surface energy balance in Antarctica and the influence of clouds,
Int. J. Climatol., 26, 1587–1605, https://doi.org/10.1002/joc.1323,
2006.
Vignon, E., Genthon, C., Barral, H., Amory, C., Picard, G., Gallée, H.,
Casasanta, G., and Argentini, S.: Momentum-and heat-flux parametrization at
Dome C, Antarctica: A sensitivity study, Bound.-Lay. Meteorol., 162,
341–367, https://doi.org/10.1007/s10546-016-0192-3, 2017.
Wang, S., Ding, M., Liu, G., Wei, T., Zhang, W., Chen, W., Dou, T., and
Xiao, C.: On the Drivers of Temperature Extremes on the Antarctic Peninsula
During Austral Summer, Clim. Dynam., 59, 2275–229, https://doi.org/10.1007/s00382-022-06209-0, 2022.
Wawrzyniak, T. and Osuch, M.: A 40-year High Arctic climatological dataset of the Polish Polar Station Hornsund (SW Spitsbergen, Svalbard), Earth Syst. Sci. Data, 12, 805–815, https://doi.org/10.5194/essd-12-805-2020, 2020.
Wei, T., Yan, Q., and Ding, M.: Distribution and temporal trends of
temperature extremes over Antarctica, Environ. Res. Lett., 14,
084040, https://doi.org/10.1088/1748-9326/ab33c1, 2019.
Wendler, G., Ishikawa, N., and Kodama, Y.: The heat balance of the Icy slope
of Adelie Land, Eastern Antarctica, J. Appl. Meteorol., 27,
52–65, https://doi.org/10.1175/1520-0450(1988)027<0052:THBOTI>2.0.CO;2, 1988.
Xiao, C., Li, Y., Allison, I., Hou, S., Dreyfus, G., Barnola, J. M., Ren,
J., Bian, L., Zhang, S., and Kameda, T.: Surface characteristics at Dome A,
Antarctica: first measurements and a guide to future ice-coring sites,
Ann. Glaciol., 48, 82–87,
https://doi.org/10.3189/172756408784700653, 2008.
Xie, A., Allison, I., Xiao, C., Wang, S., Ren, J., and Qin, D.: Assessment
of surface pressure between Zhongshan and Dome A in East Antarctica from
different meteorological reanalyses, Arct. Antarct. Alp. Res.,
46, 669–681, https://doi.org/10.1657/1938-4246-46.3.669,
2014.
Xie, A., Wang, S., Xiao, C., Kang, S., Gong, J., Ding, M., Li, C., Dou, T.,
Ren, J., and Qin, D.: Can temperature extremes in East Antarctica be
replicated from ERA Interim reanalysis? Arct. Antarct. Alp.
Res., 48, 603–621, https://doi.org/10.1657/AAAR0015-048,
2016.
Zeng, Z., Wang, Z., Ding, M., Zheng, X., Sun, X., Zhu, W., Zhu, K., An, J.,
Zang, L., Guo, J., and Zhang, B.: Estimation and Long-term Trend Analysis of
Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station,
Adv. Atmos. Sci., 38, 1497–1509, https://doi.org/10.1007/s00376-021-0386-6, 2021.
Zhang, S., E, D., Wang, Z., Li, Y., Jin, B., and Zhou, C.: Ice velocity from
static GPS observations along the transect from Zhongshan station to Dome A,
East Antarctica, Ann. Glaciol., 48, 113–118, https://doi.org/10.3189/172756408784700716, 2008.
Zhang, Y., Wang, Y., and Hou, S.: Reliability of Antarctic air temperature
changes from Polar WRF: A comparison with observations and MAR outputs,
Atmos. Res., 266, 105967, https://doi.org/10.1016/j.atmosres.2021.105967, 2021.
Zhou, M., Zhang, Z., Zhong, S., Lenschow, D., Hsu, H. M., Sun, B., Gao, Z.,
Li, S., Bian, X., and Yu, L.: Observations of near-surface wind and
temperature structures and their variations with topography and latitude in
East Antarctica, J. Geophys. Res.-Atmos., 114, D17115,
https://doi.org/10.1029/2008JD011611, 2009.
Zou, X., Ding, M., Sun, W., Yang, D., Liu, W., Huai, B., Jin, S., and Xiao,
C.: The surface energy balance of Austre Lovénbreen, Svalbard, during
the ablation period in 2014, Polar Res., 40, 5318, https://doi.org/10.33265/polar.v40.5318, 2021.
Short summary
The PANDA automatic weather station (AWS) network consists of 11 stations deployed along a transect from the coast (Zhongshan Station) to the summit of the East Antarctic Ice Sheet (Dome A). It covers the different climatic and topographic units of East Antarctica. All stations record hourly air temperature, relative humidity, air pressure, wind speed and direction at two or three heights. The PANDA AWS dataset commences from 1989 and is planned to be publicly available into the future.
The PANDA automatic weather station (AWS) network consists of 11 stations deployed along a...
Altmetrics
Final-revised paper
Preprint