Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model

Sakaguchi, Koichi; Leung, L. Ruby; Zarzycki, Colin M.; Jang, Jihyeon; McGinnis, Seth; Harrop, Bryce E.; Skamarock, William C.; Gettelman, Andrew; Zhao, Chun; Gutowski, William J.; Leak, Stephen; Mearns, Linda

doi:https://doi.org/10.5194/gmd-16-3029-2023

Articles | Volume 16, issue 10

https://doi.org/10.5194/gmd-16-3029-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-3029-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 10

Model evaluation paper

|

01 Jun 2023

Model evaluation paper |

| 01 Jun 2023

Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model

Koichi Sakaguchi, L. Ruby Leung, Colin M. Zarzycki, Jihyeon Jang, Seth McGinnis, Bryce E. Harrop, William C. Skamarock, Andrew Gettelman, Chun Zhao, William J. Gutowski, Stephen Leak, and Linda Mearns

Data sets

Model input data for the FACETS downscaling simulation with the CAM-MPAS model Koichi Sakaguchi https://doi.org/10.5281/zenodo.7490129

Model code and software

kosaka90/cesm1.5-mpasv4: Code version used for the FACETS downscaling data Koichi Sakaguchi and Bryce Harrop https://doi.org/10.5281/zenodo.7262209

Short summary

We document details of the regional climate downscaling dataset produced by a global variable-resolution model. The experiment is unique in that it follows a standard protocol designed for coordinated experiments of regional models. We found negligible influence of post-processing on statistical analysis, importance of simulation quality outside of the target region, and computational challenges that our model code faced due to rapidly changing super computer systems.