4.7 Article

Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1)

Journal

GEOSCIENTIFIC MODEL DEVELOPMENT
Volume 16, Issue 6, Pages 1735-1754

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-16-1735-2023

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This study presents updates and corrections to the cloud microphysical scheme used in models like CESM, including a new scheme called PUMAS and the ability to run on GPUs. The main changes include refining ice nucleation, incorporating vapor deposition onto snow, and introducing implicit sedimentation treatment. The study finds corrections are needed for the freezing parameterization and that ice nucleation has significant impacts on climate. The revised scheme produces less cloud liquid and ice, but this can be adjusted through changes in cloud liquid loss. There are minimal effects on cloud feedbacks but reductions in aerosol-cloud interactions.
Cloud microphysics is critical for weather and climate prediction. In this work, we document updates and corrections to the cloud microphysical scheme used in the Community Earth System Model (CESM) and other models. These updates include a new nomenclature for the scheme, now called Parameterization of Unified Microphysics Across Scales (PUMAS), and the ability to run the scheme on graphics processing units (GPUs). The main science changes include refactoring an ice number limiter and associated changes to ice nucleation, adding vapor deposition onto snow, and introducing an implicit numerical treatment for sedimentation. We also detail the improvements in computational performance that can be achieved with GPU acceleration. We then show the impact of these scheme changes on the (a) mean state climate, (b) cloud feedback response to warming, and (c) aerosol forcing. We find that corrections are needed to the immersion freezing parameterization and that ice nucleation has important impacts on climate. We also find that the revised scheme produces less cloud liquid and ice but that this can be adjusted by changing the loss process for cloud liquid (autoconversion). Furthermore, there are few discernible effects of the PUMAS changes on cloud feedbacks but some reductions in the magnitude of aerosol-cloud interactions (ACIs). Small cloud feedback changes appear to be related to the implicit sedimentation scheme, with a number of factors affecting ACIs.

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