Improving stratocumulus cloud amounts in a 200-m resolution multi-scale modeling framework through 2 tuning of its interior physics

Peng, Liran; Pritchard, Michael S.; Blossey, Peter N.; Hannah, Walter M.; Bretherton, Christopher S.; Terai, C. R.; Jenney, Andrea M.

doi:10.22541/essoar.167457989.91656039/v1

Cited by 2 publications

(4 citation statements)

References 66 publications

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“…This can be achieved by investigating cloud feedback dynamics through the tuning of the interior physics before launching multidecadal simulations. For example, Peng et al (2023) partially resolved the over-entrainment issue of low clouds in current MMFs by using hyperviscosity and cloud droplet sedimentation, providing opportunity to study low cloud feedback dynamics with reduced parameterization.…”

Section: Concluding Discussionmentioning

confidence: 99%

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Understanding Precipitation Bias Sensitivities in E3SM‐Multi‐Scale Modeling Framework From a Dilution Framework

Liu

Pritchard

Jenney

et al. 2023

J Adv Model Earth Syst

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Precipitation is a fundamental component of the Earth system, linked to clouds, moisture transport, and the global atmospheric circulation via latent heat release. Extreme precipitation events, for example, hurricanes, floods, and droughts, can be life-threatening, and often lead to extensive socioeconomic losses. A number of studies have suggested that precipitation intensity will increase as atmospheric moisture increases under a warming climate

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Section: Concluding Discussionmentioning

confidence: 99%

“…For example, Peng et al. (2023) partially resolved the over‐entrainment issue of low clouds in current MMFs by using hyperviscosity and cloud droplet sedimentation, providing opportunity to study low cloud feedback dynamics with reduced parameterization.…”

Section: Concluding Discussionmentioning

confidence: 99%

Understanding Precipitation Bias Sensitivities in E3SM‐Multi‐Scale Modeling Framework From a Dilution Framework

Liu

Pritchard

Jenney

et al. 2023

J Adv Model Earth Syst

View full text Add to dashboard Cite

show abstract

“…The raw output data is archived and can be accessed from Zenodo under the references of Peng et al. (2023a, 2023b).…”

Section: Data Availability Statementmentioning

confidence: 99%

“…All code modifications needed to implement our approach within a legacy fork of the E3SM MMF climate model can be found in the repository of Peng et al. (2023c). The raw output data is archived and can be accessed from Zenodo under the references of Peng et al.…”

Section: Data Availability Statementmentioning

confidence: 99%

Improving Stratocumulus Cloud Amounts in a 200‐m Resolution Multi‐Scale Modeling Framework Through Tuning of Its Interior Physics

Peng,

Blossey,

Hannah

et al. 2024

J Adv Model Earth Syst

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High‐Resolution Multi‐scale Modeling Frameworks (HR)—global climate models that embed separate, convection‐resolving models with high enough resolution to resolve boundary layer eddies—have exciting potential for investigating low cloud feedback dynamics due to reduced parameterization and ability for multidecadal throughput on modern computing hardware. However low clouds in past HR have suffered a stubborn problem of over‐entrainment due to an uncontrolled source of mixing across the marine subtropical inversion manifesting as stratocumulus dim biases in present‐day climate, limiting their scientific utility. We report new results showing that this over‐entrainment can be partly offset by using hyperviscosity and cloud droplet sedimentation. Hyperviscosity damps small‐scale momentum fluctuations associated with the formulation of the momentum solver of the embedded large eddy simulation. By considering the sedimentation process adjacent to default one‐moment microphysics in HR, condensed phase particles can be removed from the entrainment zone, which further reduces entrainment efficiency. The result is an HR that can produce more low clouds with a higher liquid water path and a reduced stratocumulus dim bias. Associated improvements in the explicitly simulated sub‐cloud eddy spectrum are observed. We report these sensitivities in multi‐week tests and then explore their operational potential alongside microphysical retuning in decadal simulations at operational 1.5° exterior resolution. The result is a new HR having desired improvements in the baseline present‐day low cloud climatology, and a reduced global mean bias and root mean squared error of absorbed shortwave radiation. We suggest it should be promising for examining low cloud feedbacks with minimal approximation.

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Improving stratocumulus cloud amounts in a 200-m resolution multi-scale modeling framework through 2 tuning of its interior physics

Cited by 2 publications

References 66 publications

Understanding Precipitation Bias Sensitivities in E3SM‐Multi‐Scale Modeling Framework From a Dilution Framework

Understanding Precipitation Bias Sensitivities in E3SM‐Multi‐Scale Modeling Framework From a Dilution Framework

Improving Stratocumulus Cloud Amounts in a 200‐m Resolution Multi‐Scale Modeling Framework Through Tuning of Its Interior Physics

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