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Challenges in Supercooled Altocumulus Cloud Modeling: Issues with Liquid Water Content and Resolution

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This analysis critiques the current Met Office models which utilize advanced cloud schemes but struggle with accurately representing supercooled liquid water content and cloud fraction in altocumulus clouds. Despite their sophisticated frameworks, such as separate prognostic treatment for liquid and ice, the models exhibit poor performance due to inadequate vertical resolution and ineffective ice microphysics parameterizations. Understanding these limitations is crucial for improving forecasts related to global cloud fractions, rainbands, and the impacts of aerosols.

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Challenges in Supercooled Altocumulus Cloud Modeling: Issues with Liquid Water Content and Resolution

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  1. Supercooled altocumulus clouds • Met Office models have most sophisticated cloud scheme • Separate prognostic liquid and ice • … but have the worst supercooled liquid water content and liquid cloud fraction • What are we doing wrong in these schemes? • Poor vertical resolution (~500 m) • Ice microphysics (e.g. Ice PSD)

  2. Resolution dependence: idealised simulation Ice Liquid 50 m 500 m

  3. Parameterization at work Ice Liquid 50 m 500 m

  4. Global cloud fraction verification INSECTS AEROSOL RAIN SUPERCOOL WARM LIQUID ICE + S’COOL ICE CLEAR

  5. Stationary orographic convective rainbands (HIGH terrain) – CTL CTL – (Albedo=1) Mean Wind

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