Atmospheric general circulation models
; Horizontal resolution
; Model and observation
; Multi-variate probability density functions
; Planetary boundary layers
; Self-consistent treatment
; Sub-grid scale process
; Thermodynamic fields
; Aerosols
; Clouds
; Computer simulation
; Physics
; Probability density function
; Parameterization
; atmospheric general circulation model
; boundary layer
; cloud cover
; cloud microphysics
; cloud water
; convective system
; multivariate analysis
; parameterization
; probability density function
; stratocumulus
; turbulence
UCAR Visiting Scientist Programs, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; High Performance Technologies Group, DRC/GFDL, Princeton, NJ, United States
Recommended Citation:
Guo H.,Golaz J.-C.,Donner L.J.,et al. Multivariate probability density functions with dynamics in the GFDL atmospheric general circulation Model: Global tests[J]. Journal of Climate,2014-01-01,27(5)