4.7 Article

Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization

Journal

JOURNAL OF CLIMATE
Volume 26, Issue 16, Pages 5981-5999

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-12-00517.1

Keywords

Aerosols; Cloud microphysics; Ice crystals; Climate models; Cloud parameterizations; Model evaluation; performance

Funding

  1. Earth System Modeling Program of the Office of Science at the U.S. Department of Energy (DOE)
  2. Atmospheric Radiation Measurement Program of the Office of Science at the U.S. Department of Energy (DOE)
  3. DOE Office of Science Atmospheric System Research (ASR) Program
  4. DOE Office of Science Earth System Modeling Program
  5. DOE, Office of Science, Office of Biological and Environmental Research by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
  6. Battelle Memorial Institute [DE-AC06-76RLO 1830]

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Sensitivity of Arctic clouds and radiation in the Community Atmospheric Model, version 5, to the ice nucleation process is examined by testing a new physically based ice nucleation scheme that links the variation of ice nuclei (IN) number concentration to aerosol properties. The default scheme parameterizes the IN concentration simply as a function of ice supersaturation. The new scheme leads to a significant reduction in simulated IN concentration at all latitudes while changes in cloud amounts and properties are mainly seen at high- and midlatitude storm tracks. In the Arctic, there is a considerable increase in midlevel clouds and a decrease in low-level clouds, which result from the complex interaction among the cloud macrophysics, microphysics, and large-scale environment. The smaller IN concentrations result in an increase in liquid water path and a decrease in ice water path caused by the slowdown of the Bergeron-Findeisen process in mixed-phase clouds. Overall, there is an increase in the optical depth of Arctic clouds, which leads to a stronger cloud radiative forcing (net cooling) at the top of the atmosphere. The comparison with satellite data shows that the new scheme slightly improves low-level cloud simulations over most of the Arctic but produces too many midlevel clouds. Considerable improvements are seen in the simulated low-level clouds and their properties when compared with Arctic ground-based measurements. Issues with the observations and the model-observation comparison in the Arctic region are discussed.

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