Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 4
Articles | Volume 16, issue 4
https://doi.org/10.5194/gmd-16-1277-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1277-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 4
Model description paper
 | 
22 Feb 2023
Model description paper |  | 22 Feb 2023

A new precipitation emulator (PREMU v1.0) for lower-complexity models

Gang Liu, Shushi Peng, Chris Huntingford, and Yi Xi

Viewed

Total article views: 3,279 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,346 817 116 3,279 364 131 214
  • HTML: 2,346
  • PDF: 817
  • XML: 116
  • Total: 3,279
  • Supplement: 364
  • BibTeX: 131
  • EndNote: 214
Views and downloads (calculated since 07 Jul 2022)
Cumulative views and downloads (calculated since 07 Jul 2022)

Viewed (geographical distribution)

Total article views: 3,279 (including HTML, PDF, and XML) Thereof 3,168 with geography defined and 111 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 11 Jun 2026
Download
Short summary
Due to computational limits, lower-complexity models (LCMs) were developed as a complementary tool for accelerating comprehensive Earth system models (ESMs) but still lack a good precipitation emulator for LCMs. Here, we developed a data-calibrated precipitation emulator (PREMU), a computationally effective way to better estimate historical and simulated precipitation by current ESMs. PREMU has potential applications related to land surface processes and their interactions with climate change.
Read more
Share