Investigation on Snow Characteristics and Their Distribution in China

  • Jian Wang ,
  • Tao Che ,
  • Zhen Li ,
  • Hongyi Li ,
  • Xiaohua Hao ,
  • Zhaojun Zheng ,
  • Pengfeng Xiao ,
  • Xiaofeng Li ,
  • Xiaodong Huang ,
  • Xinyue Zhong ,
  • Liyun Dai ,
  • Hongxing Li ,
  • Changqing Ke ,
  • Lanhai Li
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  • 1.Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences,Lanzhou 730000, China
    2.Institute of Remote Sensing and Digital Earth,Beijing 100101, China
    3.National Satellite Meteorological Centre,Beijing 100081, China
    4.Nanjing University,Nanjing 210093, China
    5.Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences,Changchun 130102, China
    6.Lanzhou University,Lanzhou 730000,China
    7.Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences,Urumchi 830011, China
    8.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210097, China
    9. Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China
First author:Wang Jian(1963-),male,Xiuning County,Anhui Province,Professor. Research areas include remote sensing of snow and modeling of snowmelt runoff.E-mail:wjian@lzb.ac.cn

Received date: 2017-10-25

  Revised date: 2017-12-11

  Online published: 2018-03-06

Supported by

Project supported by the Science & Technology Basic Resources Investigation Program of China “Investigation on snow characteristics and their distribution in China” (No.2017FY100500)

Copyright

地球科学进展 编辑部, 2018,

Abstract

The background, scientific objective, investigation contents and scheme of project “Investigation on snow characteristics and their distribution in China” was introduced in this paper. The general objective of the investigation is to build comprehensive and systematic database of snow characteristics in China, at the service of providing data for the climate change, water resource and snow disaster studies. The investigation will be performed on the three fields including the compilation of historical data, in situ measurement of snow characteristics in the typical regions, and investigation of snow characteristics using remote sensing methods. For the compilation of historical data, the historical snow data from the meteorological stations and research institutes will be firstly collected, and then they will be compiled based on a standard rule. In situ observation will be performed at point, line and area-scale on the typical regions which include Northeast region, Xinjiang Degion, and Qinghai-Tibet Plateau. The observation content will contain snow depth, snow density, snow water equivalent, snow particle shape, hardness of snowpack surface, liquid water content, grain size, snow temperature, snow/soil temperature, dielectric constant, and some chemical parameters. These snow characteristics are the priority information used for the modification of retrieval algorithm on snow parameters. Remote sensing methods will be used to build long-time series of snow cover, snow albedo and snow water equivalent datasets based on these modified algorithms. Finally, the snow characteristics from both in situ and remote sensing investigation will be used to classify snow types in China, and produce distribution maps of snow characteristic and other thematic maps.

Cite this article

Jian Wang , Tao Che , Zhen Li , Hongyi Li , Xiaohua Hao , Zhaojun Zheng , Pengfeng Xiao , Xiaofeng Li , Xiaodong Huang , Xinyue Zhong , Liyun Dai , Hongxing Li , Changqing Ke , Lanhai Li . Investigation on Snow Characteristics and Their Distribution in China[J]. Advances in Earth Science, 2018 , 33(1) : 12 -15 . DOI: 10.11867/j.issn.1001-8166.2018.01.0012

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