A process-based evaluation of the Intermediate Complexity Atmospheric Research Model (ICAR) 1.0.1

Horak, Johannes; Hofer, Marlis; Gutmann, Ethan; Gohm, Alexander; Rotach, Mathias W.

doi:https://doi.org/10.5194/gmd-14-1657-2021

Articles | Volume 14, issue 3

https://doi.org/10.5194/gmd-14-1657-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-1657-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 3

Model evaluation paper

| Highlight paper

|

23 Mar 2021

Model evaluation paper | Highlight paper |

| 23 Mar 2021

A process-based evaluation of the Intermediate Complexity Atmospheric Research Model (ICAR) 1.0.1

Johannes Horak, Marlis Hofer, Ethan Gutmann, Alexander Gohm, and Mathias W. Rotach

Data sets

Data set - Idealized ridge simulations with ICAR and WRF J. Horak https://doi.org/10.5281/zenodo.3609953

Model code and software

johanneshorak/icar: ICAR-N E. Gutmann, T. Eidhammer, P. Bohlinger, J. Horak, J. Vano, K. Rasouli, and L. Scaff https://doi.org/10.5281/zenodo.4042992

Short summary

This process-based evaluation of the atmospheric model ICAR is conducted to derive recommendations to increase the likelihood of its results being correct for the right reasons. We conclude that a different diagnosis of the atmospheric background state is necessary, as well as a model top at an elevation of at least 10 km. Alternative boundary conditions at the top were not found to be effective in reducing this model top elevation. The results have wide implications for future ICAR studies.