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https://doi.org/10.5194/essd-2020-85
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-85
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Jul 2020

17 Jul 2020

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This preprint is currently under review for the journal ESSD.

A long-term (2005–2016) dataset of integrated land–atmosphere interaction observations on the Tibetan Plateau

Yaoming Ma1,3,4, Zeyong Hu2,3, Zhipeng Xie1,2, Weiqiang Ma1,3, Binbin Wang1, Xuelong Chen1, Maoshan Li5, Lei Zhong6,7, Fanglin Sun2, Lianglei Gu2, Cunbo Han1, Lang Zhang1, Xin Liu1, Zhangwei Ding1, Genhou Sun8, Shujin Wang2, Yongjie Wang1, and Zhongyan Wang1 Yaoming Ma et al.
  • 1Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
  • 2Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
  • 3CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China
  • 4University of Chinese Academy of Sciences, 100049, Beijing, China
  • 5School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610025, China
  • 6School of Earth and Space Sciences,University of Science and Technology of China, Hefei, 230026, China
  • 7CAS Center for Excellence in Comparative Planetology, USTC, Hefei, 230026, China
  • 8School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China

Abstract. The Tibetan Plateau (TP) plays a critical role in influencing regional and global climate, via both thermal and dynamical mechanisms. Meanwhile, as the largest high-elevation part of the cryosphere outside the polar regions, with vast areas of mountain glaciers, permafrost and seasonally frozen ground, the TP is characterized as an area sensitive to global climate change. However, meteorological stations are sparely and biased distributed over the TP, owing to the harsh environmental conditions, high elevations, complex topography, and heterogeneous surfaces. Moreover, due to the weak representative of the stations, atmospheric conditions and the local land-atmosphere coupled system over the TP as well as its effects on surrounding regions are poorly quantified. This paper presents a long-term (2005–2016) dataset of hourly land-atmosphere interaction observations from an integrated high-elevation, cold region observation network, which is composed of six field observation and research platforms on the TP. In-situ observations, at the hourly resolution, consisting of measurements of micrometeorology, surface radiation, eddy covariance (EC), and soil temperature and soil water content profiles. Meteorological data were monitored by automatic weather station (AWS) or a planetary boundary layer (PBL) observation system composed of multiple meteorological element instruments. Multilayer soil hydrothermal data were recorded to capture vertical variations in soil temperature and water content and to study the freeze-thaw processes. In addition, to capture the high-frequency vertical exchanges of energy, momentum, water vapor and carbon dioxide within the atmospheric boundary layer, an EC system consisting of an ultrasonic anemometer and an infrared gas analyzer was installed at each station. The release of these continuous and long-term datasets with hourly time resolution represents a leap forward in scientific data sharing over the TP, and it has been partially used in the past to assist in understanding key land surface processes. This dataset is described here comprehensively for facilitating a broader multidisciplinary community by enabling the evaluation and development of existing or new remote sensing algorithms as well as geophysical models for climate research and forecasting. The whole datasets are freely available at Science Data Bank (http://www.dx.doi.org/10.11922/sciencedb.00103, Ma et al., 2020) and, additionally at the National Tibetan Plateau Data Center (https://data.tpdc.ac.cn/en/data/b9ab35b2-81fb-4330-925f-4d9860ac47c3/).

Yaoming Ma et al.

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Yaoming Ma et al.

Data sets

A long-term (2005-2016) dataset of integrated land-atmosphere interaction observations on the Tibetan Plateau Yaoming Ma, Zeyong Hu, Zhipeng Xie, Weiqiang Ma, Binbin Wang, Xuelong Chen, Maoshan Li, Lei Zhong, Fanglin Sun, Lianglei Gu, Cunbo Han, Lang Zhang, Xin Liu, Zhangwei Ding, Genhou Sun, Shujin Wang, Yongjie Wang, and Zhongyan Wang https://doi.org/10.11922/sciencedb.00103

A long-term (2005-2016) dataset of integrated land-atmosphere interaction observations on the Tibetan Plateau Yaoming Ma, Zeyong Hu, Zhipeng Xie, Weiqiang Ma, Binbin Wang, Xuelong Chen, Maoshan Li, Lei Zhong, Fanglin Sun, Lianglei Gu, Cunbo Han, Lang Zhang, Xin Liu, Zhangwei Ding, Genhou Sun, Shujin Wang, Yongjie Wang, and Zhongyan Wang https://doi.org/10.11888/Meteoro.tpdc.270325

Yaoming Ma et al.

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Short summary
In comparison with other terrestrial regions of the world, meteorological observations are scarce over the Tibetan Plateau, this has limited our understanding of the mechanisms underlying complex interactions between the different earth spheres with heterogeneous land surface conditions. The release of this continuous and long-term dataset with high temporal resolution is expected to facilitate broad multidisciplinary communities in understanding key processes on the Third Pole of the World.
In comparison with other terrestrial regions of the world, meteorological observations are...
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