@Article{Tao2019,
author="Tao, Che
and Xin, Li
and Shaomin, Liu
and Hongyi, Li
and Ziwei, Xu
and Junlei, Tan
and Yang, Zhang
and Zhiguo, Ren
and Lin, Xiao
and Jie, Deng
and Rui, Jin
and Mingguo, Ma
and Jian, Wang
and Xiaofan, Yang",
title="Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China",
journal="Earth System Science Data",
year="2019",
volume="11",
number="3"
}

@Article{Xin2017,
author="Xin, Li
and Shaomin, Liu
and Qin, Xiao
and Mingguo, Ma
and Rui, Jin
and Tao, Che
and Weizhen, Wang
and Xiaoli, Hu
and Ziwei, Xu
and Jianguang, Wen
and Liangxu, Wang",
title="A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system.",
journal="Scientific data",
year="2017",
volume="4",
abstract="We introduce a multiscale dataset obtained from Heihe Watershed Allied Telemetry Experimental Research (HiWATER) in an oasis-desert area in 2012. Upscaling of eco-hydrological processes on a heterogeneous surface is a grand challenge. Progress in this field is hindered by the poor availability of multiscale observations. HiWATER is an experiment designed to address this challenge through instrumentation on hierarchically nested scales to obtain multiscale and multidisciplinary data. The HiWATER observation system consists of a flux observation matrix of eddy covariance towers, large aperture scintillometers, and automatic meteorological stations; an eco-hydrological sensor network of soil moisture and leaf area index; hyper-resolution airborne remote sensing using LiDAR, imaging spectrometer, multi-angle thermal imager, and L-band microwave radiometer; and synchronical ground measurements of vegetation dynamics, and photosynthesis processes. All observational data were carefully quality controlled throughout ..."
}