Hosted by the Chinese Academy of Sciences (CAS), published by the Computer Network Information Center, CAS,China Scientific Data (CN11-6035/N, ISSN 2096-2223, http://csdata.org/en/) is a bilingual (Chinese and English) open-access journal publishing data papers of multidisciplinary fields. It comes out as one of China's first-batch network-based serials and is now indexed by Chinese Science Citation Database (2017-2018). The journal is committed to promoting the rapid publication and dissemination of valuable research data. CSDATA hereby announces a special issue on "Ice, Snow and Environment Over High Mountain Asia", which is scheduled for release in December 2018. Submissions are now invited.
As the high-altitude region in middle Asia centering around the Qinghai-Tibetan Plateau (also known as the Tibetan Plateau), High Mountain Asia (HMA) is a typical area sensitive to climate and environmental changes in the mid-latitudes, affecting the global and regional climate as well as the downstream water, environment and ecology. It is a region of critical concern in the Belt and Road Initiative.
With unique climate and environmental systems, HMA is currently faced with a number of fundamental problems related to global changes, including glacier retreat, snow melting, increased hazard frequency and deteriorating ecology. Its snow, ice and environmental changes have a considerable effect on the downstream areas of China and its neighbouring countries. Therefore, a quantitative description of the snow, ice and environmental changes based on data collected by earth observation techniques (such as ground monitoring, satellite remote sensing and model assimilation) is of important theoretical and practical significance for further understanding and analysis of the environmental changes of HMA and their influences.
Recent years witnessed a surge in the volume of earth observation data, as well as in the number of monitoring and studies on ice, snow and environment based on the satellite data of HMA. This has had considerable effects across the world. This special issue comes out in a way to support the Belt and Road Initiative and its relevant studies and to promote the application of research data on the ice, snow and environmental changes of HMA. Building upon an earlier issue of "Snow, Ice and Environment Over the Tibetan Plateau" (vol. 2 (2)), the special issue plans to compile and publish datasets on the ice, snow and environmental changes of HMA, aiming to facilitate data sharing and extend data applications.
This special issue brings together datasets on "Snow, Ice and Environment Over HMA", and their descriptors. We invite descriptions across a range of topics, including ground observation data (or reanalyzed data products) related to ice, snow and environment over HMA, thematic products from remote-sensing, synthetic analytic data from ground-observation and remote-sensing, assimilated data or data from experimental observations with special objectives. Through the special issue, we hope to promote the exchange and sharing of scientific data on HMA across different yet related fields, with a special focus on the ice, snow, environment and climate over the Qinghai–Tibetan Plateau.
LIU Shiyin, Professor, Institute of International Rivers and Eco-Security, Yunnan University
LI Xin, Professor, Northwest Institute of Eco-Environment and Resources, CAS
WANG Ninglian, Professor, College of Urban and Environmental Sciences, Northwest University
ZHANG Yinsheng, Professor, Institute of Tibetan Plateau Research, CAS
LI Zhiwei, Professor, School of Geosciences and Info-Physics, Central South University
QIU Yubao, Associate Professor, Institute of Remote Sensing and Digital Earth, CAS
ZHANG Zhen, PhD, School of Geomatics, Anhui University of Science and Technology
WU Kunpeng, PhD, School of Resources and Environment, Anqing Normal University
1. Please download the latest template fromChina Scientific Data (www.csdata.org) as a reference for your paper writing. Manuscripts should contain a full description of the datasets, which includes collection and processing methods, quality assessment and validation measures, and other relevant information that facilitates data interpretation and (re)use.
2. Please prepare the dataset and explicitly describe the property relations of the data before submission. Attention should be paid to the consistency of the paper and the dataset(s) described. Also note that data authors might not necessarily be authors of the paper. Both datasets and their descriptors will be open to public comments during the review process.
3. Please select the column "Ice, Snow and Environment over High Mountain Asia" at submission.
4. Manuscripts should be written in English and Chinese (submission of the English version will be informed after the Chinese version is finalized). Authors will be directed to an accredited repository (www.sciencedb.cn) automatically after successful paper submission.