Statistics – Applications
Scientific paper
May 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003dps....35.3702d&link_type=abstract
American Astronomical Society, DPS meeting #35, #37.02; Bulletin of the American Astronomical Society, Vol. 35, p.982
Statistics
Applications
Scientific paper
We have completed the design and implementation of a hybrid vertical coordinate, ζ , for the EPIC atmospheric model that is strongly coupled to the potential temperature, θ , for most of the model but smoothly transitions into a pressure-based coordinate that follows the geopotential at the bottom of the model. This allows the coordinate to be terrain-following for terrestrial planets, to be extended deeply into the neutrally stable interiors of gas giants, and to be well-defined in convectively unstable regions. In most such hybrid models, the isentropic variable, θ , is treated as a prognostic variable throughout the model. We have increased the efficiency and accuracy of the hybrid approach by treating θ in a novel way. In the top region, θ is simply the vertical coordinate, θ = ζ . We generally position the bottom of this region to be the tropopause, such that the stratosphere and regions above gain the full advantages of isentropic coordinates. In the middle region, θ is treated as a diagnostic variable by inverting the relationship ζ = F(θ ,p) that is used to define the vertical coordinate such that it is smooth and monotonic. The potential temperature may be determined accurately this way until ζ and θ cease to be strongly coupled, at which point the bottom region begins and θ is predicted as a full prognostic variable. We will present applications that include a Venus model with topography, the standard Held-Suarez benchmark for Earth, and selected gas-giant examples to demonstrate the flexibility of the model. The development of a planetary boundary layer (PBL) scheme and a cloud microphysics scheme for the EPIC model are discussed in related papers.
This work is sponsored by the NASA Planetary Atmospheres and EPSCoR Program
Dowling Timothy E.
Morales-Juberias Raúl
Palotai Cs. J.
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