Statistics – Computation
Scientific paper
Jan 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3202809k&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 2, CiteID L02809
Statistics
Computation
18
Atmospheric Processes: Convective Processes, Atmospheric Processes: Tides And Planetary Waves, Atmospheric Processes: Global Climate Models (1626, 4928), Atmospheric Processes: Ocean/Atmosphere Interactions (0312, 4504), Atmospheric Processes: Tropical Meteorology
Scientific paper
We present a computationally efficient new method for simulating the interactions of large-scale atmospheric circulations with deep convection in a 3D cloud-resolving model. This is accomplished by reducing the scale difference between the large-scale and convective circulations. Our method, Diabatic Acceleration and REscaling (DARE), consists of accelerating all diabatic processes, reducing the planetary radius and increasing its rotation rate. A second useful interpretation of this rescaling, Reduced Acceleration in the VErtical (RAVE) is also presented briefly. The DARE/RAVE approach is expected to be useful for a wide range of problems involving interactions between large-scale circulation, deep convection, and associated cloud and radiation processes, whose investigation has long been plagued by deficiencies in cumulus/cloud parameterizations. Initial results from a near-global scale equatorial β-plane simulation using the DARE approach are briefly presented.
Blossey Peter N.
Bretherton Christopher S.
Kuang Zhiming
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