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The PANDA automatic weather station network between the coast and Dome A, East Antarctica
Earth System Science Data ( IF 11.2 ) Pub Date : 2022-11-15 , DOI: 10.5194/essd-14-5019-2022 Minghu Ding , Xiaowei Zou , Qizhen Sun , Diyi Yang , Wenqian Zhang , Lingen Bian , Changgui Lu , Ian Allison , Petra Heil , Cunde Xiao
Earth System Science Data ( IF 11.2 ) Pub Date : 2022-11-15 , DOI: 10.5194/essd-14-5019-2022 Minghu Ding , Xiaowei Zou , Qizhen Sun , Diyi Yang , Wenqian Zhang , Lingen Bian , Changgui Lu , Ian Allison , Petra Heil , Cunde Xiao
This paper introduces a unique multiyear dataset and the
monitoring capability of the PANDA automatic weather station network, which
includes 11 automatic weather stations (AWSs) across the Prydz Bay–Amery Ice
Shelf–Dome A area from the coast to the summit of the East Antarctic Ice
Sheet. The ∼ 1460 km transect from Zhongshan to Panda S
follows roughly along ∼ 77∘ E longitude and covers
all geographic units of East Antarctica. Initial inland observations, near
the coast, started in the 1996/97 austral summer. All AWSs in this network
measure air temperature, relative humidity, air pressure, wind speed and
wind direction at 1 h 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. The 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 PANDA AWS network. This dataset, which
is publicly available, is planned to be updated on a near-real-time basis 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., 2022b).
中文翻译:
PANDA 自动气象站网络,位于南极东部海岸和 Dome A 之间
本文介绍了一个独特的多年数据集和 PANDA 自动气象站网络的监测能力,该网络包括 11 个自动气象站 (AWS),横跨从东南极海岸到山顶的 Prydz Bay-Amery 冰架-Dome A 区域冰盖。从中山到熊猫 S ~ 1460 km的 断面大致沿着~ 77 ∘ E 经度覆盖东南极洲的所有地理单元。在 1996/97 年的南半球夏季,开始了靠近海岸的初步内陆观测。该网络所有AWS均以1小时为间隔测量气温、相对湿度、气压、风速和风向,部分AWS还可以测量气温和短波/长波辐射。数据通过 Argos 系统近乎实时地传递。数据质量总体上非常可靠,数据已被广泛使用。在本文中,我们首先对 AWS 进行了详细概述,包括传感器特性、安装过程、数据质量控制协议以及每个变量的基本分析。然后我们举一个短期大气事件的例子来展示 PANDA AWS 网络的监测能力。这个数据集,
更新日期:2022-11-15
中文翻译:
PANDA 自动气象站网络,位于南极东部海岸和 Dome A 之间
本文介绍了一个独特的多年数据集和 PANDA 自动气象站网络的监测能力,该网络包括 11 个自动气象站 (AWS),横跨从东南极海岸到山顶的 Prydz Bay-Amery 冰架-Dome A 区域冰盖。从中山到熊猫 S ~ 1460 km的 断面大致沿着~ 77 ∘ E 经度覆盖东南极洲的所有地理单元。在 1996/97 年的南半球夏季,开始了靠近海岸的初步内陆观测。该网络所有AWS均以1小时为间隔测量气温、相对湿度、气压、风速和风向,部分AWS还可以测量气温和短波/长波辐射。数据通过 Argos 系统近乎实时地传递。数据质量总体上非常可靠,数据已被广泛使用。在本文中,我们首先对 AWS 进行了详细概述,包括传感器特性、安装过程、数据质量控制协议以及每个变量的基本分析。然后我们举一个短期大气事件的例子来展示 PANDA AWS 网络的监测能力。这个数据集,