Semi‐implicit integration of the unified equations in a mass‐based coordinate: model formulation and numerical testing

This paper derives the unified equations of Arakawa and Konor rigorously formulated in a suitable mass‐based sigma coordinate and develops an efficient semi‐implicit integration scheme. The unified equations accurately capture the non‐hydrostatic small‐scale effects and retain the hydrostatic compressibility of the flow at large scales. As with the classical quasi‐hydrostatic equations, the underlying approximations filter vertically propagating acoustic waves. In contrast to the quasi‐hydrostatic equations, however, the filtering property of the unified equations requires that the wind field satisfy a divergence constraint similar to anelastic and pseudo‐incompressible (small‐scale limit) soundproof systems. An efficient semi‐implicit integration scheme for the unified equation system is achieved by combining a constant‐coefficient linear partitioning approach with an iterative implicit treatment of the nonlinear residuals arising from the soundproof divergence constraint. The resulting linear implicit problem to be solved at each iteration may be reduced to a single Helmholtz equation with horizontally homogeneous coefficients, which is akin to the one typically solved in the semi‐implicit integration of the quasi‐hydrostatic equations. The stability and accuracy of the developed semi‐implicit scheme for the unified equations in the mass‐based coordinate is numerically assessed by means of standard vertical plane test cases in linear and nonlinear atmospheric flow regimes. Moreover, in order to ascertain the convergence of the iterative semi‐implicit scheme, the test cases also include a large‐scale 3D configuration that resembles the stiffness typically encountered in global atmospheric models.

[1]  D. Durran A physically motivated approach for filtering acoustic waves from the equations governing compressible stratified flow , 2008, Journal of Fluid Mechanics.

[2]  René Laprise,et al.  A Semi-Implicit Semi-Lagrangian Regional Climate Model: The Canadian RCM , 1999 .

[3]  Louis J. Wicker,et al.  Numerical solutions of a non‐linear density current: A benchmark solution and comparisons , 1993 .

[4]  Robert Scheichl,et al.  Massively parallel solvers for elliptic partial differential equations in numerical weather and climate prediction , 2013, ArXiv.

[5]  Christian Kühnlein,et al.  Modelling atmospheric flows with adaptive moving meshes , 2012, J. Comput. Phys..

[6]  William Bourke,et al.  A multi-level spectral model. I. Formulation and hemispheric integrations , 1974 .

[7]  N. Phillips,et al.  Scale Analysis of Deep and Shallow Convection in the Atmosphere , 1962 .

[8]  Omar M. Knio,et al.  Regime of Validity of Soundproof Atmospheric Flow Models , 2010 .

[9]  Richard Asselin,et al.  Frequency Filter for Time Integrations , 1972 .

[10]  Francis X. Giraldo,et al.  Current and Emerging Time-Integration Strategies in Global Numerical Weather and Climate Prediction , 2019 .

[11]  Cathy Hohenegger,et al.  Predictability and Error Growth Dynamics in Cloud-Resolving Models , 2007 .

[12]  Juan Simarro,et al.  A semi‐implicit non‐hydrostatic dynamical kernel using finite elements in the vertical discretization , 2012 .

[13]  Kevin A. Reed,et al.  Analytical initial conditions and an analysis of baroclinic instability waves in f ‐ and β‐plane 3D channel models , 2015 .

[14]  Véronique Ducrocq,et al.  The Meso-NH Atmospheric Simulation System. Part I: adiabatic formulation and control simulations , 1997 .

[15]  R. Hemler,et al.  A Scale Analysis of Deep Moist Convection and Some Related Numerical Calculations , 1982 .

[16]  R. Klein,et al.  Using the sound-proof limit for balanced data initialization , 2014 .

[17]  R. Klein,et al.  Comments on “A Semihydrostatic Theory of Gravity-Dominated Compressible Flow” , 2015 .

[18]  L. Margolin,et al.  A Class of Nonhydrostatic Global Models. , 2001 .

[19]  A. Staniforth,et al.  The Operational CMC–MRB Global Environmental Multiscale (GEM) Model. Part I: Design Considerations and Formulation , 1998 .

[20]  J. Dukowicz Evaluation of Various Approximations in Atmosphere and Ocean Modeling Based on an Exact Treatment of Gravity Wave Dispersion , 2013 .

[21]  René Laprise,et al.  The Euler Equations of Motion with Hydrostatic Pressure as an Independent Variable , 1992 .

[22]  Pierre Bénard,et al.  RK‐IMEX HEVI schemes for fully compressible atmospheric models with advection: analyses and numerical testing , 2017 .

[23]  John P. Boyd,et al.  Limited-area fourier spectral models and data analysis schemes : Windows, fourier extension, davies relaxation, and all that , 2005 .

[24]  A. Robert,et al.  An Implicit Time Integration Scheme for Baroclinic Models of the Atmosphere , 1972 .

[25]  D. Lüthi,et al.  A new terrain-following vertical coordinate formulation for atmospheric prediction models , 2002 .

[26]  Karim Yessad,et al.  The nonhydrostatic global IFS / ARPEGE : model formulation and testing , 2009 .

[27]  Pierre Bénard,et al.  Stability of Leapfrog Constant-Coefficients Semi-Implicit Schemes for the Fully Elastic System of Euler Equations: Case with Orography , 2005 .

[28]  J. Prusa,et al.  EULAG, a computational model for multiscale flows , 2008 .

[29]  Jan Erik Haugen,et al.  A Spectral Limited-Area Model Formulation with Time-dependent Boundary Conditions Applied to the Shallow-Water Equations , 1993 .

[30]  Pierre Benard,et al.  Stability of Semi-Implicit and Iterative Centered-Implicit Time Discretizations for Various Equation Systems Used in NWP , 2003, physics/0304114.

[31]  C. Konor Design of a Dynamical Core Based on the Nonhydrostatic “Unified System” of Equations* , 2014 .

[32]  Pierre Bénard,et al.  Integration of the fully elastic equations cast in the hydrostatic pressure terrain-following coordinate in the framework of the ARPEGE/Aladin NWP system , 1995 .

[33]  Brian J. Hoskins,et al.  A multi-layer spectral model and the semi-implicit method , 1975 .

[34]  William C. Skamarock,et al.  A time-split nonhydrostatic atmospheric model for weather research and forecasting applications , 2008, J. Comput. Phys..

[35]  G. Radnoti,et al.  Comments on “A Spectral Limited-Area Formulation with Time-Dependent Boundary Conditions Applied to the Shallow-Water Equations” , 1995 .

[36]  J. A.,et al.  A multi-layer spectral model and the semi-implicit method , 2006 .

[37]  Joanna Szmelter,et al.  FVM 1.0: a nonhydrostatic finite-volume dynamical core for the IFS , 2019, Geoscientific Model Development.

[38]  A. Kasahara Various Vertical Coordinate Systems Used for Numerical Weather Prediction , 1974 .

[39]  Terry Davies,et al.  Validity of anelastic and other equation sets as inferred from normal‐mode analysis , 2003 .

[40]  Mats Hamrud,et al.  A Fast Spherical Harmonics Transform for Global NWP and Climate Models , 2013 .

[41]  R. Klein Asymptotics, structure, and integration of sound-proof atmospheric flow equations , 2009 .

[42]  William C. Skamarock,et al.  Efficiency and Accuracy of the Klemp-Wilhelmson Time-Splitting Technique , 1994 .

[43]  Oliver Fuhrer,et al.  Numerical consistency of metric terms in terrain-following coordinates , 2003 .

[44]  Slobodan Nickovic,et al.  An Alternative Approach to Nonhydrostatic Modeling , 2001 .

[45]  Christian Kühnlein,et al.  A consistent framework for discrete integrations of soundproof and compressible PDEs of atmospheric dynamics , 2014, J. Comput. Phys..

[46]  A. Arakawa,et al.  Unification of the Anelastic and Quasi-Hydrostatic Systems of Equations , 2009 .

[47]  Rupert Klein,et al.  A Blended Soundproof-to-Compressible Numerical Model for Small- to Mesoscale Atmospheric Dynamics , 2014 .

[48]  D. Durran Improving the Anelastic Approximation , 1989 .

[49]  Pierre Bénard,et al.  Dynamical kernel of the Aladin–NH spectral limited‐area model: Revised formulation and sensitivity experiments , 2010 .

[50]  Karim Yessad Integration of the model equations, and eulerian dynamics, in the cycle 42 of ARPEGE/IFS. , 2015 .

[51]  A. Simmons,et al.  An Energy and Angular-Momentum Conserving Vertical Finite-Difference Scheme and Hybrid Vertical Coordinates , 1981 .

[52]  Piotr K. Smolarkiewicz,et al.  Anelastic and Compressible Simulation of Moist Deep Convection , 2014 .