Articles | Volume 27, issue 16
https://doi.org/10.5194/hess-27-3143-2023
https://doi.org/10.5194/hess-27-3143-2023
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

Viewed

Total article views: 1,378 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
970 371 37 1,378 67 19 29
  • HTML: 970
  • PDF: 371
  • XML: 37
  • Total: 1,378
  • Supplement: 67
  • BibTeX: 19
  • EndNote: 29
Views and downloads (calculated since 27 Feb 2023)
Cumulative views and downloads (calculated since 27 Feb 2023)

Viewed (geographical distribution)

Total article views: 1,378 (including HTML, PDF, and XML) Thereof 1,331 with geography defined and 47 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
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.