Articles | Volume 26, issue 1
Hydrol. Earth Syst. Sci., 26, 71–89, 2022
https://doi.org/10.5194/hess-26-71-2022
Hydrol. Earth Syst. Sci., 26, 71–89, 2022
https://doi.org/10.5194/hess-26-71-2022

Research article 06 Jan 2022

Research article | 06 Jan 2022

Improved representation of agricultural land use and crop management for large-scale hydrological impact simulation in Africa using SWAT+

Albert Nkwasa 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-2021-247', Anonymous Referee #1, 27 Jul 2021
  • RC2: 'Comment on hess-2021-247', Anonymous Referee #2, 30 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (10 Sep 2021) by Christian Stamm
AR by Albert Nkwasa on behalf of the Authors (11 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (20 Oct 2021) by Christian Stamm
RR by Anonymous Referee #2 (20 Oct 2021)
RR by Anonymous Referee #1 (17 Nov 2021)
ED: Publish subject to minor revisions (review by editor) (18 Nov 2021) by Christian Stamm
AR by Albert Nkwasa on behalf of the Authors (23 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (25 Nov 2021) by Christian Stamm
Download
Short summary
We present an approach on how to incorporate crop phenology in a regional hydrological model using decision tables and global datasets of rainfed and irrigated cropland with the associated cropping calendar and management practices. Results indicate improved temporal patterns of leaf area index (LAI) and evapotranspiration (ET) simulations in comparison with remote sensing data. In addition, the improvement of the cropping season also helps to improve soil erosion estimates in cultivated areas.