Articles | Volume 21, issue 11
https://doi.org/10.5194/hess-21-5805-2017
https://doi.org/10.5194/hess-21-5805-2017
Research article
 | 
23 Nov 2017
Research article |  | 23 Nov 2017

Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China

Fan Yang, Hui Lu, Kun Yang, Jie He, Wei Wang, Jonathon S. Wright, Chengwei Li, Menglei Han, and Yishan Li

Viewed

Total article views: 4,759 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,149 1,518 92 4,759 73 104
  • HTML: 3,149
  • PDF: 1,518
  • XML: 92
  • Total: 4,759
  • BibTeX: 73
  • EndNote: 104
Views and downloads (calculated since 08 Jun 2017)
Cumulative views and downloads (calculated since 08 Jun 2017)

Viewed (geographical distribution)

Total article views: 4,759 (including HTML, PDF, and XML) Thereof 4,528 with geography defined and 231 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
Short summary
In this paper, we show that CLDAS has the highest spatial and temporal resolution, and it performs best in terms of precipitation, while it overestimates the shortwave radiation. CMFD also has high resolution and its shortwave radiation data match well with the station data; its annual-mean precipitation is reliable but its monthly precipitation needs improvements. Both GLDAS and CN05.1 over mainland China need to be improved. The results can benefit researchers for forcing data selection.