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Scale-aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM

  • CAS - Institute of Atmospheric Physics
  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Using long-term radar-based groundmeasurements fromthe Atmospheric RadiationMeasurement Program, we derive the inhomogeneity of cloud liquid water as represented by the shape parameter of a gamma distribution. The relationship between the inhomogeneity and the model grid size as well as atmospheric condition is presented. A larger grid scale and more unstable atmosphere are associated with larger inhomogeneity that is described by a smaller shape parameter. This relationship is implemented as a scale-aware parameterization of the liquid cloud inhomogeneity in the Community Earth System Model (CESM) in which the shape parameter impacts the cloud microphysical processes.When used in the default CESM1 with the finite-volume dynamic core where a constant liquid inhomogeneity parameter was assumed, it reduces the cloud inhomogeneity in high latitudes and increases it in low latitudes. This is due to both the smaller (larger) grid size in high (low) latitudes in the longitude-latitude grid setting of CESM and the more stable (unstable) atmosphere. The single-column model and general circulation model sensitivity experiments show that the new parameterization increases the cloud liquid water path in polar regions and decreases it in low latitudes. An advantage of the parameterization is that it can recognize the spatial resolutions of the CESM without special tuning of the cloud water inhomogeneity parameter.

Original languageEnglish
Pages (from-to)8359-8371
Number of pages13
JournalJournal of Geophysical Research Atmospheres
Volume120
Issue number16
DOIs
StatePublished - 2015

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