Checkerboard patterns in E3SMv2 and E3SM-MMFv2

Hannah, Walter; Pressel, Kyle; Ovchinnikov, Mikhail; Elsaesser, Gregory

doi:https://doi.org/10.5194/gmd-15-6243-2022

Articles | Volume 15, issue 15

https://doi.org/10.5194/gmd-15-6243-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-6243-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 15

Model evaluation paper

|

12 Aug 2022

Model evaluation paper |

| 12 Aug 2022

Checkerboard patterns in E3SMv2 and E3SM-MMFv2

Walter Hannah, Kyle Pressel, Mikhail Ovchinnikov, and Gregory Elsaesser

Data sets

Analysis code and condensed dataset Walter Hannah and Kyle Pressel https://g-c5233.fd635.8443.data.globus.org/publications/Hannah_GMD_2022_chx_detection.tar.gz

Model code and software

E3SMv2 branch used for checkerboard signal analysis Walter Hannah https://doi.org/10.5281/zenodo.6407188

Energy Exascale Earth System Model (E3SM) E3SM Project https://doi.org/10.11578/E3SM/dc.20210927.1

Short summary

An unphysical checkerboard signal is identified in two configurations of the atmospheric component of E3SM. The signal is very persistent and visible after averaging years of data. The signal is very difficult to study because it is often mixed with realistic weather. A method is presented to detect checkerboard patterns and compare the model with satellite observations. The causes of the signal are identified, and a solution for one configuration is discussed.