Articles | Volume 13, issue 10
https://doi.org/10.5194/essd-13-4711-2021
https://doi.org/10.5194/essd-13-4711-2021
Data description paper
 | 
15 Oct 2021
Data description paper |  | 15 Oct 2021

The NIEER AVHRR snow cover extent product over China – a long-term daily snow record for regional climate research

Xiaohua Hao, Guanghui Huang, Tao Che, Wenzheng Ji, Xingliang Sun, Qin Zhao, Hongyu Zhao, Jian Wang, Hongyi Li, and Qian Yang

Viewed

Total article views: 4,644 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,642 869 133 4,644 127 135
  • HTML: 3,642
  • PDF: 869
  • XML: 133
  • Total: 4,644
  • BibTeX: 127
  • EndNote: 135
Views and downloads (calculated since 01 Jul 2021)
Cumulative views and downloads (calculated since 01 Jul 2021)

Viewed (geographical distribution)

Total article views: 4,644 (including HTML, PDF, and XML) Thereof 4,375 with geography defined and 269 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Nov 2024
Download
Short summary
Long-term snow cover data are not only of importance for climate research. Currently China still lacks a high-quality snow cover extent (SCE) product for climate research. This study develops a multi-level decision tree algorithm for cloud and snow discrimination and gap-filled technique based on AVHRR surface reflectance data. We generate a daily 5 km SCE product across China from 1981 to 2019. It has high accuracy and will serve as baseline data for climate and other applications.
Altmetrics
Final-revised paper
Preprint