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

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

doi:https://doi.org/10.5194/gmd-16-1277-2023

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

Supplement

https://doi.org/10.5194/gmd-16-1277-2023-supplement

Data sets

Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment 1) Hyungjun Kim https://doi.org/10.20783/DIAS.501

Model code and software

GangLiulg/PreMU: v1.0.0 (PREMU) G. Liu, S. S. Peng, C. Huntingford, and Y. Xi https://doi.org/10.5281/zenodo.7545350

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.