Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 17
Articles | Volume 18, issue 17
https://doi.org/10.5194/gmd-18-5759-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-18-5759-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 17
Model description paper
 | 
08 Sep 2025
Model description paper |  | 08 Sep 2025

CROMES v1.0: a flexible CROp Model Emulator Suite for climate impact assessment

Christian Folberth, Artem Baklanov, Nikolay Khabarov, Thomas Oberleitner, Juraj Balkovič, and Rastislav Skalský

Viewed

Total article views: 5,568 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,702 693 173 5,568 168 244
  • HTML: 4,702
  • PDF: 693
  • XML: 173
  • Total: 5,568
  • BibTeX: 168
  • EndNote: 244
Views and downloads (calculated since 24 Mar 2025)
Cumulative views and downloads (calculated since 24 Mar 2025)

Viewed (geographical distribution)

Total article views: 5,568 (including HTML, PDF, and XML) Thereof 5,544 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 03 Jul 2026
Download
Short summary
Global gridded crop models (GGCMs) are important tools in agricultural climate impact assessments but computationally costly. An emergent approach to derive crop productivity estimates similar to those from GGCMs are emulators that mimic the original model, but typically with considerable bias. Here we present a modelling package that trains emulators with very high accuracy and high computational gain, providing a basis for more comprehensive scenario assessments.
Read more
Share
Special issue
Agricultural Model Intercomparison and Improvement Project...