Preprints
https://doi.org/10.5194/egusphere-2024-1989
https://doi.org/10.5194/egusphere-2024-1989
29 Jul 2024
 | 29 Jul 2024

The impact of mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain

Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann

Abstract. The rise in computational power in recent years enables researches and national weather services to conduct high-resolution simulations down to the kilometric (Δx = 𝒪(1 km)) and even to hectometric (Δx = 𝒪(100 m)) scale for both weather and climate applications. We investigate with the state-of-the-art numerical weather prediction model ICON how mid-level clouds are represented on a mesh size of 1 km and 65 m, respectively, and for two bulk microphysics schemes, one-moment and two-moment cloud microphysics. For this analysis, we leverage the abundant observational data from two independent field campaigns in Switzerland (CLOUDLAB, hilly terrain) and Austria (CROSSINN, complex terrain). With four case studies, we show that while the temperature fields around the campaign sites are well represented in both mesh sizes, the 65 m resolution simulates a more realistic vertical velocity structure beneficial for cloud formation. Therefore, the largest differences for the representation of clouds lies in the two mesh sizes: The 1 km simulation in hilly terrain does not capture the observed clouds in both cloud microphysics schemes. Here, the higher resolution of the vertical velocities in the 65 m proves to be crucial for representing the investigated cloud types, and the two-moment microphysics scheme in general performs better with respect to the cloud characteristics because it considers variations in cloud droplet and ice crystal number concentrations. In complex terrain, the differences between the mesh sizes and the cloud microphysics schemes are surprisingly less, but the 65 m simulations with two-moment cloud microphysics shows the most realistic cloud representation.

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Journal article(s) based on this preprint

19 Dec 2024
The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 14145–14175, https://doi.org/10.5194/acp-24-14145-2024,https://doi.org/10.5194/acp-24-14145-2024, 2024
Short summary
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Nadja Omanovic on behalf of the Authors (26 Sep 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Sep 2024) by Hailong Wang
RR by Anonymous Referee #1 (17 Oct 2024)
ED: Publish subject to minor revisions (review by editor) (25 Oct 2024) by Hailong Wang
AR by Nadja Omanovic on behalf of the Authors (31 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (05 Nov 2024) by Hailong Wang
AR by Nadja Omanovic on behalf of the Authors (06 Nov 2024)  Manuscript 

Journal article(s) based on this preprint

19 Dec 2024
The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 14145–14175, https://doi.org/10.5194/acp-24-14145-2024,https://doi.org/10.5194/acp-24-14145-2024, 2024
Short summary
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann

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Short summary
We evaluated the numerical weather model ICON in two horizontal resolutions with two bulk microphysics schemes over hilly and complex terrain in Switzerland and Austria, respectively. We focused on the model's ability of simulating mid-level clouds in summer and winter. By combining observational data from two different field campaigns we show that both an increase in horizontal resolution and a more advanced cloud microphysics scheme is strongly beneficial for the cloud representation.