Articles | Volume 27, issue 16
Research article
29 Aug 2023
Research article |  | 29 Aug 2023

Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach

Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2023-28', Anonymous Referee #1, 06 Apr 2023
    • AC1: 'Reply on RC1', Theresa Boas, 11 May 2023
  • RC2: 'Comment on hess-2023-28', Anonymous Referee #2, 11 Apr 2023
    • AC2: 'Reply on RC2', Theresa Boas, 11 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (11 May 2023) by Shraddhanand Shukla
AR by Theresa Boas on behalf of the Authors (27 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Jun 2023) by Shraddhanand Shukla
RR by Anonymous Referee #2 (21 Jun 2023)
RR by Anonymous Referee #1 (21 Jul 2023)
ED: Publish as is (21 Jul 2023) by Shraddhanand Shukla
AR by Theresa Boas on behalf of the Authors (23 Jul 2023)  Manuscript 
Short summary
In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.