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

Earth System Science Data - Tập 12 Số 4 - Trang 2937-2957
Yaoming Ma1,2,3, Zeyong Hu1,4, Zhipeng Xie2, Weiqiang Ma1,2, Binbin Wang2, Xuelong Chen2, Maoshan Li5, Lei Zhong6,7, Fanglin Sun4, Lianglei Gu4, Cunbo Han2, Lang Zhang2, Xin Liu2, Zhangwei Ding2, Genhou Sun8, Shujin Wang4, Yongjie Wang2, Zhongyan Wang2
1CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China
2Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
3University of Chinese Academy of Sciences, Beijing, 100049, China
4Key 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
5School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610025, China
6CAS Center for Excellence in Comparative Planetology, USTC, Hefei 230026, China
7School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
8School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China

Tóm tắt

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 biased and sparsely distributed over the TP, owing to the harsh environmental conditions, high elevations, complex topography and heterogeneous surfaces. Moreover, due to the weak representation 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) in situ observational dataset of hourly land–atmosphere interaction observations from an integrated high-elevation and cold-region observation network, composed of six field stations on the TP. These in situ observations contain both meteorological and micrometeorological measurements including gradient meteorology, surface radiation, eddy covariance (EC), soil temperature and soil water content profiles. Meteorological data were monitored by automatic weather stations (AWSs) or planetary boundary layer (PBL) observation systems. Multilayer soil temperature and moisture were recorded to capture vertical hydrothermal variations and the soil freeze–thaw process. In addition, an EC system consisting of an ultrasonic anemometer and an infrared gas analyzer was installed at each station to capture the high-frequency vertical exchanges of energy, momentum, water vapor and carbon dioxide within the atmospheric boundary layer. The release of these continuous and long-term datasets with hourly resolution represents a leap forward in scientific data sharing across 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 the Science Data Bank (https://doi.org/10.11922/sciencedb.00103; Ma et al., 2020) and additionally at the National Tibetan Plateau Data Center (https://doi.org/10.11888/Meteoro.tpdc.270910, Ma 2020).

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Earth System Science Data

Tập 12 Số 4

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