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31 January 2026

Evaluation of Global Climate and Storm-Resolving Model Representations of Mixed-Phase Clouds and Their Hemispheric Contrasts

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1
Institute of Meteorology and Climate Research Troposphere Research, Karlsruhe Institute of Technology, 78131 Karlsruhe, Germany
2
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 78131 Karlsruhe, Germany
3
Institute of Meteorology and Climate Research Atmospheric Trace Gases and Remote Sensing, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
4
Department of Geosciences, University of Oslo, 0371 Oslo, Norway
Atmosphere2026, 17(2), 156;https://doi.org/10.3390/atmos17020156 
(registering DOI)
This article belongs to the Section Atmospheric Techniques, Instruments, and Modeling

Abstract

Mixed-phase clouds, in which liquid droplets and ice crystals coexist at temperatures between 38C and 0C, play a critical role in Earth’s radiation budget. Here, we assess the ability of climate and storm-resolving models to represent mixed-phase cloud properties and their hemispheric contrasts as inferred from satellite observations. We compare observations from the Advanced Very High Resolution Radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) with one global climate model, the Community Atmosphere Model version 6, Oslo configuration (CAM6-Oslo), and three storm-resolving models: the ICOsahedral Non-hydrostatic model (ICON), the Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM), and the Goddard Earth Observing System model (GEOS). Our results show that all models reproduce the geographic distribution of mixed-phase clouds but differ significantly in detail. CAM6-Oslo yields the closest agreement in hemispheric contrasts of supercooled liquid fraction and its relationship with the liquid effective radius. Our results highlight the role of aerosol–cloud interactions and microphysics schemes in determining model performance and demonstrate that storm-resolving models still do not overcome the challenge of representing mixed-phase clouds at global scales.

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