Studying scale dependency of aerosol-cloud interactions using multiscale cloud formulations

Timothy Glotfelty, Kiran Alapaty, Jian He, Patrick Hawbecker, Xiaoliang Song, Guang Zhang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The Weather Research and Forecasting Model with Aerosol-Cloud Interactions (WRF-ACI) configuration is used to investigate the scale dependency of aerosol-cloud interactions (ACI) across the "gray zone"scales for grid-scale and subgrid-scale clouds. The impacts of ACI on weather are examined across regions in the eastern and western United States at 36, 12, 4, and 1 km grid spacing for short-term periods during the summer of 2006. ACI impacts are determined by comparing simulations with current climatological aerosol levels to simulations with aerosol levels reduced by 90%. The aerosol-cloud lifetime effect is found to be the dominant process leading to suppressed precipitation in regions of the eastern United States, while regions in the western United States experience offsetting impacts on precipitation from the cloud lifetime effect and other effects that enhance precipitation. Generally, the cloud lifetime effect weakens with decreasing grid spacing due to a decrease in relative importance of autoconversion compared to accretion. Subgrid-scale ACI are dominant at 36 km, while grid-scale ACI are dominant at 4 and 1 km. At 12 km grid spacing, grid-scale and subgridscale ACI processes are comparable in magnitude and spatial coverage, but random perturbations in grid-scale ACI impacts make the overall grid-scale ACI impact appear muted. This competing behavior of grid- and subgrid-scale clouds complicate the understanding of ACI at 12 km within the current WRF modeling framework. The work implies including subgrid-scale cloud microphysics and ice/mixed-phase-cloud ACI processes may be necessary in weather and climate models to study ACI effectively.

Original languageEnglish
Pages (from-to)3847-3868
Number of pages22
JournalJournal of the Atmospheric Sciences
Volume77
Issue number11
DOIs
StatePublished - Nov 2020

Keywords

  • Cloud parameterizations
  • Clouds
  • Convective parameterization
  • Cumulus clouds
  • Model evaluation/performance

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