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: 1,699 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,267 385 47 1,699 121 41 46
  • HTML: 1,267
  • PDF: 385
  • XML: 47
  • Total: 1,699
  • Supplement: 121
  • BibTeX: 41
  • EndNote: 46
Views and downloads (calculated since 07 Jul 2022)
Cumulative views and downloads (calculated since 07 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,699 (including HTML, PDF, and XML) Thereof 1,628 with geography defined and 71 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
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