A long-term (2005-2016) dataset of hourly integrated land-atmosphere interaction observations on the Tibetan Plateau
A long-term (2005-2016) dataset of hourly integrated land-atmosphere interaction observations on the Tibetan Plateau
复制标题
青藏高原长期（2005年—2016年）每小时综合陆地-大气相互作用观测数据集
DOI：
10.5194/essd-12-2937-2020
复制
发表时间：
2020-11-18
影响因子：
11.4
通讯作者：
Wang, Zhongyan
中科院分区：
文献类型：
--
作者：
Ma, Yaoming;Hu, Zeyong;Wang, Zhongyan
抽象。青藏高原（TP）通过热力和动力机制对区域和全球气候起着关键作用。同时，作为极区以外最大的高海拔冰冻圈，青藏高原拥有大面积的山地冰川、多年冻土和季节冻土，是全球气候变化的敏感区。然而，由于青藏高原环境条件恶劣、海拔高、地形复杂、地表不均匀，气象台站分布不均、分布稀疏。此外，由于站的代表性弱，大气条件和当地的陆-气耦合系统在TP及其对周边地区的影响是很难量化的。本文介绍了一个长期（2005-2016年）的现场观测数据集的每小时陆-气相互作用的观测从一个综合的高海拔和寒冷地区的观测网络，由6个实地站的TP。这些现场观测包括气象和微气象测量，包括梯度气象学、地面辐射、涡动协方差、土壤温度和土壤含水量剖面。气象数据由自动气象站或行星边界层观测系统监测。多层土壤温度和湿度记录垂直水热变化和土壤冻融过程。此外，在每个监测站安装了由超声波风速计和红外线气体分析仪组成的EC系统，以捕捉大气边界层内能量、动量、水蒸气和二氧化碳的高频垂直交换。这些具有小时分辨率的连续和长期数据集的发布代表了TP科学数据共享的飞跃，过去已部分用于帮助了解关键的陆面过程。该数据集在这里进行了全面的描述，以促进更广泛的多学科社区，使现有的或新的遥感算法以及地球物理模型的评估和发展，为气候研究和预测。整个数据集可在科学数据库（Science Data Bank）免费获得（https：//doi.org/10.11922/sciencedb.00103; Ma等人，2020）以及国家青藏高原数据中心（https：//doi.org/10.11888/Meteoro.tpdc.270910，Ma 2020）。
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).