Articles | Volume 26, issue 21
https://doi.org/10.5194/hess-26-5647-2022
https://doi.org/10.5194/hess-26-5647-2022
Research article
 | 
10 Nov 2022
Research article |  | 10 Nov 2022

Revisiting large-scale interception patterns constrained by a synthesis of global experimental data

Feng Zhong, Shanhu Jiang, Albert I. J. M. van Dijk, Liliang Ren, Jaap Schellekens, and Diego G. Miralles

Viewed

Total article views: 3,130 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,933 1,128 69 3,130 240 45 64
  • HTML: 1,933
  • PDF: 1,128
  • XML: 69
  • Total: 3,130
  • Supplement: 240
  • BibTeX: 45
  • EndNote: 64
Views and downloads (calculated since 22 Apr 2022)
Cumulative views and downloads (calculated since 22 Apr 2022)

Viewed (geographical distribution)

Total article views: 3,130 (including HTML, PDF, and XML) Thereof 2,939 with geography defined and 191 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Dec 2024
Download
Short summary
A synthesis of rainfall interception data from past field campaigns is performed, including 166 forests and 17 agricultural plots distributed worldwide. These site data are used to constrain and validate an interception model that considers sub-grid heterogeneity and vegetation dynamics. A global, 40-year (1980–2019) interception dataset is generated at a daily temporal and 0.1° spatial resolution. This dataset will serve as a benchmark for future investigations of the global hydrological cycle.