The HiWATER datasets were released after a series of careful quality control throughout sensor calibration, data collection, data processing, and datasets generation. Datasets are freely available in both English and Chinese versions. By the end of 2017, 340 Chinese datasets can be available at the Heihe Plan Data Center (http://www.heihedata.org/hiwater), which is sponsored by the “Integrated research on the eco-hydrological process of the Heihe River Basin” of the National Natural Science Foundation of Chinese. And 137 English datasets were online shared and can be downloaded from the Cold and Arid Regions Science Data Center at Lanzhou (http://card.westgis.ac.cn/hiwater). The datasets were reviewed for 4.82 million times and 7600 shared services were carried out. The total amount of shared data was about 21.7 BT, and about 300 projects were supported. 367 papers including 299 SCI papers were published based on HiWATER data.
HiWATER English datasets have been made available to the scientific community through figshare. And HiWATER 2012 IOP (Intensive observation periods) datasets were published online in the “Scientific Data”, a journal of Natural Publishing Group. The paper entitled “A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system” (https://www.nature.com/articles/sdata201783), was jointly published by the Prof. Xin Li’s group at Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Prof. Shaomin Liu’s group at Department of Geographical Science, Beijing Normal University, and other co-authors from Institute of Remote Sensing and Digital Earth, CAS, Southwest University, and Shanghai Normal University. The publication includes 102 datasets, and focuses on a scientific challenge on scaling issue of inhomogeneous land surfaces eco-hydrological processes. 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. The observation data should be useful for elucidating multiscale eco-hydrological processes and developing upscaling methods.
The opening of HiWATER datasets English system will play an active role in supporting the integrated eco-hydrological studies at the basin scale, and improving the international influence of the Heihe River Project. The other HiWATER data will also be published in domestic and international data journals.
Instrumentation in the HiWATER intensive observation period in 2012 to capture the land surface heterogeneity