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Coupled FVGCM-GCE MMF
The Goddard Multi-scale Modeling Framework (MMF) is based on the coupling
of the two-dimensional Goddard Cumulus Ensemble Model (GCE) and the finite-volume
GCM (fvGCM). The MMF, which replaces cloud parameterizations with a cloud
resolving model (CRM), is a very promising approach in climate modeling. It
provides a way to couple low-resolution and high-resolution model physics
in an unified framework. The embedded CRMs can explicitly simulate
cloud dynamical and physical processes and provide cloud properties and
statistics that match the scale of high-resolution satellite observations. The
use of a GCM will allow the large-scale atmosphere's response to cloud,
radiation and surface processes and the evaluation of assumptions used
in convectional parameterizations to be studied. The MMF system will improve
our understanding of cloud and precipitation processes over many scales
of motion ranging from cloud microphysical processes up to large-scale
circulations that organize the growth and decay of precipitation systems. The
Goddard MMF includes the fvGCM run at 2.50 x 20 horizontal resolution
with 32 vertical layers from the surface to 0.4 hPa and a 2D (x-z) GCE
embedded at each fvGCM column using 64 x 28 grid points with 4 km horizontal
resolution and a cyclic lateral boundary. Globally, there are a total
of 13,104 GCEs running at the same time. The time step for the 2D GCE
is 10 seconds, and the fvGCM-GCE coupling frequency is one hour (i.e.
the fvGCM physical time step). At each fvGCM column, the global model
provides the mean atmospheric conditions and the large-scale temperature
and moisture advection forcings to the GCE and the cloud model feedbacks
the tendencies of thermodynamic variables and cloud statistics. in
each grid column of a GCM.
The finite volume GCM (fvGCM) has been constructed with the
unique finite-volume dynamic core developed at Goddard (Lin
2004) and the physics package from the NCAR Community Climate
Model CCM3 (Kiehl et al. 1998). The unique features of
the finite-volume dynamical core include: an accurate conservative
flux-form semi-Lagrangian transport algorithm (FFSL) with a
monotonicity constraint on sub-grid distribution that is free
of Gibbs oscillation (Lin and Rood 1996, 1997), a terrain-following
Lagrangian control-volume vertical coordinate, a physically
consistent integration of pressure gradient force for a terrain-following
coordinate (Lin 1997, 1998), and a mass, momentum, and total
energy conserving mapping algorithm for Lagrangian to Eulerian
control-volume vertical coordinate transformation. The
physical parameterizations in the fvGCM have been upgraded
with the gravity wave scheme from the NCAR Whole Atmosphere
Community Model (WACCM) and the CLM version 2 (CLM-2). The
fvGCM also includes the ability to use passive water vapor
tracers to diagnose the geographic source of water in precipitation
and to provide quantitative diagnostics of precipitation recycling
(Bosilovich and Schubert 2002). |