Articles | Volume 26, issue 21
Hydrol. Earth Syst. Sci., 26, 5647–5667, 2022
https://doi.org/10.5194/hess-26-5647-2022
Hydrol. Earth Syst. Sci., 26, 5647–5667, 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 et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-155', Anonymous Referee #1, 19 May 2022
    • AC1: 'Reply on RC1', feng zhong, 03 Sep 2022
  • RC2: 'Comment on hess-2022-155', Yongqiang Zhang, 27 Jun 2022
    • AC2: 'Reply on RC2', feng zhong, 03 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (05 Sep 2022) by Markus Hrachowitz
AR by feng zhong on behalf of the Authors (15 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (20 Sep 2022) by Markus Hrachowitz
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.