Skip to main navigation Skip to search Skip to main content

Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models

  • Hannah C. Frostenberg*
  • , Montserrat Costa-Surós
  • , Paraskevi Georgakaki
  • , Ulrike Proske
  • , Georgia Sotiropoulou
  • , Eleanor May
  • , David Neubauer
  • , Patrick Eriksson
  • , María Gonçalves Ageitos
  • , Athanasios Nenes
  • , Carlos Pérez García-Pando
  • , Øyvind Seland
  • , Luisa Ickes*
  • *Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

The balance between liquid and ice in clouds remains a major challenge in climate modeling, largely due to uncertainties in ice-related processes. We investigate the relative importance of four microphysical processes—primary ice nucleation (PIN), secondary ice production (SIP), sedimentation, and transport of ice crystals—for the supercooled liquid fraction (SLF) in mixed-phase clouds using three global climate models: EC-Earth3-AerChem, NorESM2-MM, and ECHAM6.3-HAM2.3. All models identify PIN as the dominant influence on SLF at cold temperatures in high northern latitudes, but diverge elsewhere and for higher temperatures. Implementing a unified SIP parameterization produced varied model responses, revealing fundamental differences in how microphysical processes interact within each model framework. These discrepancies suggest that each model prioritizes different processes in shaping the cloud phase. Such divergence may limit the reliability of conclusions regarding microphysical processes drawn from any single model.

Original languageEnglish
Article number75
Journalnpj Climate and Atmospheric Science
Volume9
Issue number1
DOIs
Publication statusPublished - Dec 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Fingerprint

Dive into the research topics of 'Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models'. Together they form a unique fingerprint.

Cite this