Hemispheric Asymmetry of Phase Partition in Mixed‐Phase Clouds Based on Near Global‐Scale Airborne Observations

Abstract Mixed‐phase clouds contribute to substantial uncertainties in global climate models due to their complex microphysical properties. Former model evaluations almost exclusively rely on satellite observations to assess cloud phase distributions globally. This study investigated mixed‐phase cloud properties using near global‐scale in situ observation data sets from 14 flight campaigns in combination with collocated output from a global climate model. The Southern Hemisphere (SH) shows significantly higher occurrence frequencies and higher mass fractions of supercooled liquid water than Northern Hemisphere (NH) based on observations at 0.2 and 100 km horizontal scales. Such hemispheric asymmetry is not captured by the model. The model also consistently overestimates liquid water content (LWC) in all cloud phases but shows ice water content (IWC) biases that vary with phase. Key processes contributing to model biases in phase partition can be identified through the combination of evaluation of phase frequency, liquid mass fraction, LWC and IWC.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-09-12
DOI
https://doi.org/10.1029/2025gl115946
Citations
2
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
2.21

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article

Hemispheric Asymmetry of Phase Partition in Mixed‐Phase Clouds Based on Near Global‐Scale Airborne Observations

Ching An Yang, Yang Shi, Xiaohong Liu, Minghui Diao
2 citations
Geophysical Research Letters
Atmospheric aerosols and clouds
2.21
article

Hemispheric Asymmetry of Phase Partition in Mixed‐Phase Clouds Based on Near Global‐Scale Airborne Observations

Ching An Yang, Yang Shi, Xiaohong Liu, Minghui Diao
article en
2 citations

Abstract

Abstract Mixed‐phase clouds contribute to substantial uncertainties in global climate models due to their complex microphysical properties. Former model evaluations almost exclusively rely on satellite observations to assess cloud phase distributions globally. This study investigated mixed‐phase cloud properties using near global‐scale in situ observation data sets from 14 flight campaigns in combination with collocated output from a global climate model. The Southern Hemisphere (SH) shows significantly higher occurrence frequencies and higher mass fractions of supercooled liquid water than Northern Hemisphere (NH) based on observations at 0.2 and 100 km horizontal scales. Such hemispheric asymmetry is not captured by the model. The model also consistently overestimates liquid water content (LWC) in all cloud phases but shows ice water content (IWC) biases that vary with phase. Key processes contributing to model biases in phase partition can be identified through the combination of evaluation of phase frequency, liquid mass fraction, LWC and IWC.

Geophysical Research LettersVol. 52(18)
Pacific Northwest National Laboratory (US), University of Michigan (US), San Jose State University (US), Massachusetts Institute of Technology (US), Texas A&M University (US)
National Science Foundation, U.S. Department of Energy, National Aeronautics and Space Administration, National Energy Research Scientific Computing Center, Pacific Northwest National Laboratory
Openalex Percentile: Top 11%
Atmospheric aerosols and clouds
2.21
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Hemispheric Asymmetry of Phase Partition in Mixed‐Phase Clouds Based on Near Global‐Scale Airborne Observations — Ching An Yang, Yang Shi, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS