2000
DOI: 10.1006/jcph.1999.6414
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A Semi-implicit Semi-Lagrangian Scheme Using the Height Coordinate for a Nonhydrostatic and Fully Elastic Model of Atmospheric Flows

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Cited by 79 publications
(79 citation statements)
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“…The continuous one-dimensional (1D) governing equations derived from those used in the Met Office's operational forecast model (Staniforth et al 2004) or equivalently from those used by Bonaventura (2000) are written as: where D/Dt ≡ ∂/∂t + w∂/∂z, w is vertical velocity, ≡ (p/p 0 ) κ is Exner pressure, p is pressure, p 0 = p(z = 0), κ ≡ R/c p , R is the gas constant, c p is specific heat of dry air at constant pressure, θ is potential temperature, g is gravity, ρ is density, t is time, z is height above the surface, and z T is the height of the top boundary.…”
Section: The Model (A) the Continuous Equationsmentioning
confidence: 99%
“…The continuous one-dimensional (1D) governing equations derived from those used in the Met Office's operational forecast model (Staniforth et al 2004) or equivalently from those used by Bonaventura (2000) are written as: where D/Dt ≡ ∂/∂t + w∂/∂z, w is vertical velocity, ≡ (p/p 0 ) κ is Exner pressure, p is pressure, p 0 = p(z = 0), κ ≡ R/c p , R is the gas constant, c p is specific heat of dry air at constant pressure, θ is potential temperature, g is gravity, ρ is density, t is time, z is height above the surface, and z T is the height of the top boundary.…”
Section: The Model (A) the Continuous Equationsmentioning
confidence: 99%
“…Almost all nonhydrostatic mesoscale models currently in existence are based on the finite difference (FD) method; examples include the following list of models: [4,5,11,17,25,26,[29][30][31][32]39,42,43,46,48,57,58], and [60]. Included in this list are models such as ARPS (University of Oklahoma), COAMPS (US Navy), LM (German Weather Service), MC2 (Environment Canada), MM5 (Penn State/NCAR), NMM (National Center for Environmental Prediction), and WRF (NCAR).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, small cells are generally created in the vicinity of lower boundary, resulting in a huge computational cost because the time interval of integration depends on the size of the smallest cell in the whole region. Steppeler et al (2002) introduced a "thin wall" approximation, which extended the method proposed by Bonaventura (2000), to an advective form of the the nonhydrostatic atmospheric model in order to reduce the computational cost associated with the cut-cell method and obtain the most numerical stability. In the approximation, topography was represented using flux limiters at the flanks of cells and the volume of a cut cell is treated as well as that of uncut cells.…”
Section: Introductionmentioning
confidence: 99%