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

Bruno, Olimpia ORCID iD icon 1; Shaw, Jonah K.; Storelvmo, Trude; Hoose, Corinna ORCID iD icon 2
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

Mixed-phase clouds, in which liquid droplets and ice crystals coexist at temperatures between −38⁢°C and 0⁢°C, 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.


Verlagsausgabe §
DOI: 10.5445/IR/1000190332
Veröffentlicht am 06.02.2026
Originalveröffentlichung
DOI: 10.3390/atmos17020156
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 2073-4433
KITopen-ID: 1000190332
Erschienen in Atmosphere
Verlag MDPI
Band 17
Heft 2
Seiten 156
Vorab online veröffentlicht am 31.01.2026
Schlagwörter mixed-phase clouds; aerosol–cloud interactions; climate and storm-resolving model evaluation
Nachgewiesen in OpenAlex
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