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Assessing the Grell-Freitas Convection Parameterization in the NASA GEOS Modeling System.

Saulo R Freitas1,2, Georg A Grell3, Andrea Molod2

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Summary

This study introduces an improved convection parameterization for the Goddard Earth Observing System (GEOS) general circulation model (GCM). The enhanced scheme realistically simulates diurnal precipitation cycles and shows competitive skill against observations and reanalyses.

Keywords:
convection parameterizationdiurnal cycle of precipitationscale‐aware parameterizationsweather forecast

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Area of Science:

  • Atmospheric Science
  • Climate Modeling
  • Numerical Weather Prediction

Background:

  • General circulation models (GCMs) require accurate parameterizations for complex atmospheric processes like convection.
  • Existing convection schemes in GCMs often struggle to realistically represent diurnal cycles and scale dependencies.

Purpose of the Study:

  • To implement and evaluate an alternative convection parameterization for the NASA Goddard Earth Observing System (GEOS) GCM.
  • To improve the simulation of convection regimes, diurnal precipitation cycles, and scale-dependent phenomena.

Main Methods:

  • Implemented a mass flux approach with closures for equilibrium and nonequilibrium convection.
  • Incorporated scale and aerosol-aware functionalities, including a trimodal spectral size distribution for convective plumes.
  • Conducted global-scale simulations at resolutions from 50 km down to 6 km.
  • Validated precipitation simulations against remote sensing data and compared performance with operational weather models and reanalyses.

Main Results:

  • The new parameterization significantly improved the realism of the diurnal cycle of land convection.
  • Scale-dependence was successfully demonstrated across different model resolutions.
  • The model accurately simulated the diurnal cycle of precipitation over various regions.
  • The GEOS GCM with the alternative parameterization exhibited competitive skill compared to state-of-the-art observations and simulations.

Conclusions:

  • The alternative convection parameterization offers substantial improvements in simulating convective processes and their impacts.
  • The enhanced GEOS GCM demonstrates robust performance for weather-scale applications and climate modeling.
  • This work provides a more realistic representation of atmospheric convection in global climate models.