Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 5
Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2501-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2501-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 5
Data description paper
 | 
29 May 2024
Data description paper |  | 29 May 2024

MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022)

Fangbo Pan, Lingmei Jiang, Gongxue Wang, Jinmei Pan, Jinyu Huang, Cheng Zhang, Huizhen Cui, Jianwei Yang, Zhaojun Zheng, Shengli Wu, and Jiancheng Shi

Viewed

Total article views: 1,517 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,174 276 67 1,517 60 57
  • HTML: 1,174
  • PDF: 276
  • XML: 67
  • Total: 1,517
  • BibTeX: 60
  • EndNote: 57
Views and downloads (calculated since 27 Nov 2023)
Cumulative views and downloads (calculated since 27 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,517 (including HTML, PDF, and XML) Thereof 1,486 with geography defined and 31 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 11 Dec 2024
Download
Short summary
It is important to strengthen the continuous monitoring of snow cover as a key indicator of imbalance in the Asian Water Tower (AWT) region. We generate long-term daily gap-free fractional snow cover products over the AWT at 0.005° resolution from 2000 to 2022 based on the multiple-endmember spectral mixture analysis algorithm and the gap-filling algorithm. They can provide highly accurate, quantitative fractional snow cover information for subsequent studies on hydrology and climate.
Read more
Altmetrics
Final-revised paper
Preprint