Preprints
https://doi.org/10.5194/egusphere-2025-2804
https://doi.org/10.5194/egusphere-2025-2804
26 Jun 2025
 | 26 Jun 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Evaluation of Semi-Implicit and Explicit Sedimentation Approaches in the Two-Moment Cloud Microphysics Scheme of ICON

Simon Bolt and Nadja Omanovic

Abstract. In the ICOsahedral Nonhydrostatic (ICON) model, the Seifert-Beheng two-moment microphysics scheme is one approach to simulate clouds with different hydrometeor classes. In this bulk description, sedimentation is modeled by advecting the first two moments (number and mass densities) of the hydrometeor size distributions with velocities derived from fitting a generalized gamma distribution to the moments. This method implicitly relies on the diffusive properties of the numerical advection schemes to obtain results in closer agreement with the exact spectral solution. The implementation in ICON offers both a semi-implicit and largely untested explicit method for sedimentation. Currently, the semi-implicit scheme is substantially slower on graphics processing units (GPUs), which is particularly relevant considering the recent rise of GPUs in supercomputing; this raises the question of whether the explicit scheme is a viable alternative.

We provide a detailed examination of both sedimentation schemes, their differences, and underlying assumptions. Using idealized one-dimensional experiments, we identify a minor issue in the default semi-implicit scheme (flux limiter artifacts) and propose a solution. Additionally, we show that the explicit scheme exhibits less numerical diffusion, though some diffusion is crucial for accurate bulk sedimentation. We caution that in the future, finer grid resolutions may result in insufficient diffusion, especially for the explicit scheme. An analysis of six case studies with thunderstorms reveals that the explicit scheme gives rise to more jagged patterns in the hydrometeor profiles, although without concerning instabilities. Furthermore, some differences in hail and graupel precipitation rates can be attributed to different ways of considering the microphysical source terms (e.g., hydrometeor interactions) during the sedimentation step.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Share
Simon Bolt and Nadja Omanovic

Status: open (until 21 Aug 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2025-2804', Ted Mansell, 26 Jun 2025 reply
  • RC1: 'Comment on egusphere-2025-2804', Anonymous Referee #1, 10 Jul 2025 reply
Simon Bolt and Nadja Omanovic
Simon Bolt and Nadja Omanovic

Viewed

Total article views: 123 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
94 20 9 123 4 7
  • HTML: 94
  • PDF: 20
  • XML: 9
  • Total: 123
  • BibTeX: 4
  • EndNote: 7
Views and downloads (calculated since 26 Jun 2025)
Cumulative views and downloads (calculated since 26 Jun 2025)

Viewed (geographical distribution)

Total article views: 122 (including HTML, PDF, and XML) Thereof 122 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Jul 2025
Download
Short summary
We examined the two-moment cloud microphysics sedimentation schemes of the numerical weather model ICON, comparing the default semi-implicit with an explicit method that runs faster on graphics processing units. Using idealized setups and thunderstorm case studies, we find differences in numerical diffusion, and in extreme precipitation rates due to changed coupling with the remaining microphysics. Neither method develops alarming instabilities in full model setups, and both can be safely used.
Share