Preprints
https://doi.org/10.5194/essd-2022-188
https://doi.org/10.5194/essd-2022-188
 
19 Jul 2022
19 Jul 2022
Status: this preprint is currently under review for the journal ESSD.

The PANDA automatic weather station network between the coast and Dome A, East Antarctica

Minghu Ding1, Xiaowei Zou1,2, Qizhen Sun3, Diyi Yang1, Wenqian Zhang1, Lingen Bian1, Changgui Lu1, Ian Allison4, Petra Heil4, and Cunde Xiao5 Minghu Ding et al.
  • 1State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 2GNSS research center, Wuhan University, Wuhan 430079, China
  • 3Polar Research and Forecasting Division, National Marine Environmental Forecasting Center, Beijing 100081, China
  • 4Australian Antarctic Division and Australian Antarctic Program Partnership, University of Tasmania, Australia
  • 5State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China

Abstract. This paper introduces a unique multiyear dataset and the monitoring capability of the PANDA automatic weather station network which includes eleven automatic weather stations (AWS) across Prydz Bay-Amery Ice Shelf-dome area from the coast to the summit of the East Antarctica ice sheet. The ~1460 km transect from Zhongshan to Panda S station follows roughly along ~77° E longitude and covers all geographic and climatic units of East Antarctica. Initial inland observation, near the coast, started in the 1996/1997 austral summer. All AWSs in this network measure air temperature, relative humidity, air pressure, wind speed and wind direction at 1-hour intervals, and some of them can also measure firn temperature and shortwave/longwave radiation. Data are relayed in near real-time via the ARGOS system. Data quality is generally very reliable and the data have been used widely. In this paper, we firstly present a detailed overview of the AWSs, including the sensor characteristics, installation procedure, data quality control protocol, and the basic analysis of each variable. We then give an example of a short-term atmospheric event that shows the monitoring capacity of the network. This dataset, which is publicly available, is planned to be updated on a near-real time and should be valuable for climate change estimation, extreme weather events diagnosis, data assimilation, weather forecasting, etc. The dataset is available at https://doi.org/10.11888/Atmos.tpdc.272721 (Ding et al., 2022).

Minghu Ding et al.

Status: open (until 13 Sep 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-188', Amélie Kirchgaessner, 01 Aug 2022 reply

Minghu Ding et al.

Data sets

The PANDA automatic weather station network between the coast and Dome A, East Antarctica (1989-2021) Ding, M., Zou, X., Sun, Q., Yang, D., Zhang, W., Bian, L., Lu, C., Allison, I., Heil, P., Xiao, C. https://doi.org/10.11888/Atmos.tpdc.272721

Minghu Ding et al.

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Short summary
This paper introduces a unique multiyear dataset and the monitoring capability of the PANDA automatic weather station network which includes eleven automatic weather stations (AWS) across Prydz Bay-Amery Ice Shelf-dome area from the coast to the summit of the East Antarctica ice sheet. All AWSs in this network measure air temperature, relative humidity, air pressure, wind speed and wind direction at 1-hour intervals.