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Diverse cloud radiative effects and global surface temperature simulations induced by different ice cloud optical

Bingqi Yi1,2

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Choosing appropriate ice cloud optical property parameterizations significantly impacts climate model simulations. Different schemes affect radiative effects and surface temperatures, highlighting the need for careful selection in climate modeling.

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Area of Science:

  • Atmospheric Science
  • Climate Modeling
  • Cloud Physics

Background:

  • Accurate representation of ice cloud optical properties is crucial for climate models.
  • Existing parameterization schemes vary widely in assumptions about ice particle characteristics.
  • The impact of different ice cloud parameterizations on simulated climate variables remains unclear.

Purpose of the Study:

  • To investigate the influence of various ice cloud optical property parameterization schemes on climate simulations.
  • To quantify the differences in radiative effects and surface temperature changes caused by these schemes.

Main Methods:

  • Developed and implemented five distinct ice cloud optical property parameterization schemes within the NCAR Community Atmospheric Model version 5.
  • Conducted atmosphere-only climate simulations for each parameterization scheme.
  • Evaluated differences in simulated top of the atmosphere shortwave and longwave cloud radiative effects (CREs).

Main Results:

  • Global averaged net CRE differences ranged from -1.93 to 1.03 Wm⁻² across the schemes.
  • Simulated surface temperature changes were most pronounced in continental regions, reaching several Kelvin.
  • The choice of parameterization significantly influenced simulated climate variables.

Conclusions:

  • The selection of ice cloud optical property parameterization is critical for reliable climate simulations.
  • Different parameterizations lead to substantial variations in simulated radiative balance and temperature.
  • Further research is needed to refine ice cloud parameterizations for improved climate projections.