ALADIN NH Recent progress Petra Smolíková, Radmila Brožková.

Slides:



Advertisements
Similar presentations
ECMWF Governing Equations 2 Slide 1 Governing Equations II: classical approximations and other systems of equations Thanks to Clive Temperton, Mike Cullen.
Advertisements

ECMWF Governing Equations 3 Slide 1 Numerical methods IV (time stepping) by Nils Wedi (room 007; ext. 2657) In part based on previous material by Mariano.
Discrete variational derivative methods: Geometric Integration methods for PDEs Chris Budd (Bath), Takaharu Yaguchi (Tokyo), Daisuke Furihata (Osaka)
Training course: boundary layer IV Parametrization above the surface layer (layout) Overview of models Slab (integral) models K-closure model K-profile.
(c) MSc Module MTMW14 : Numerical modelling of atmospheres and oceans Staggered schemes 3.1 Staggered time schemes.
Point-wise Discretization Errors in Boundary Element Method for Elasticity Problem Bart F. Zalewski Case Western Reserve University Robert L. Mullen Case.
Numerical Simulation of Wave-Seawall Interaction Clive Mingham, Derek Causon, David Ingram and Stephen Richardson Centre for Mathematical Modelling and.
Optimization of thermal processes
Novel Design of a Free-Piston Stirling Engine - Modelling and Simulation Researcher: Salem S. Ghozzi Supervisor: Dr. Boukhanouf R.
Princeton University Using the computer to select the right variables Rationale: Lake Carnegie, Princeton, NJ Straight Line Distance Actual transition.
Lecture 9 Hamilton’s Equations conjugate momentum cyclic coordinates Informal derivation Applications/examples 1.
A Mach-uniform pressure correction algorithm Krista Nerinckx, J. Vierendeels and E. Dick Dept. of Flow, Heat and Combustion Mechanics GHENT UNIVERSITY.
Semi-Lagrangian Dynamics in GFS Sajal K. Kar. Introduction Over the years, the accuracy of medium-range forecasts has steadily improved with increasing.
Rotational Dynamics Chapter 9.
Geophysical Modelling: Climate Modelling How advection, diffusion, choice of grids, timesteps etc are defined in state of the art models.
Martin Burger Total Variation 1 Cetraro, September 2008 Numerical Schemes Wrap up approximate formulations of subgradient relation.
Non-hydrostatic algorithm and dynamics in ROMS Yuliya Kanarska, Alexander Shchepetkin, Alexander Shchepetkin, James C. McWilliams, IGPP, UCLA.
A Practical Guide to Preparing and Presenting Energy Invstement Proposals Investing in Energy.
1 Chapter 6 Numerical Methods for Ordinary Differential Equations.
Writing a Hair Dynamics Solver Tae-Yong Kim Rhythm & Hues Studios
Department of Aerospace and Mechanical Engineering A one-field discontinuous Galerkin formulation of non-linear Kirchhoff-Love shells Ludovic Noels Computational.
Tutorial 5: Numerical methods - buildings Q1. Identify three principal differences between a response function method and a numerical method when both.
© Fluent Inc. 9/5/2015L1 Fluids Review TRN Solution Methods.
Solution of the Implicit Formulation of High Order Diffusion for the Canadian Atmospheric GEM Model “High Performance Computing and Simulation Symposium.
Finite Differences Finite Difference Approximations  Simple geophysical partial differential equations  Finite differences - definitions  Finite-difference.
Development of WRF-CMAQ Interface Processor (WCIP)
Prague'03 / Physics & its interfacing Physics & its interfacing – the AROME case J.-F. Geleyn & L. Gérard I) Generalities II) Challenges & likely problems.
Javier Junquera Molecular dynamics in the microcanonical (NVE) ensemble: the Verlet algorithm.
C M C C Centro Euro-Mediterraneo per i Cambiamenti Climatici COSMO General Meeting - September 8th, 2009 COSMO WG 2 - CDC 1 An implicit solver based on.
Applied NWP [1.2] “Once the initialization problem was resolved in the 1960s, models based on the primitive equations gradually supplanted those based.
1 Discretization of Fluid Models (Navier Stokes) Dr. Farzad Ismail School of Aerospace and Mechanical Engineering Universiti Sains Malaysia Nibong Tebal.
Basics of molecular dynamics. Equations of motion for MD simulations The classical MD simulations boil down to numerically integrating Newton’s equations.
ENM 503 Lesson 1 – Methods and Models The why’s, how’s, and what’s of mathematical modeling A model is a representation in mathematical terms of some real.
A cell-integrated semi-Lagrangian dynamical scheme based on a step-function representation Eigil Kaas, Bennert Machenhauer and Peter Hjort Lauritzen Danish.
Mathematical Background
The equations of motion and their numerical solutions II by Nils Wedi (2006) contributions by Mike Cullen and Piotr Smolarkiewicz.
© Fluent Inc. 11/24/2015J1 Fluids Review TRN Overview of CFD Solution Methodologies.
© IFP Controlled CO 2 | Diversified fuels | Fuel-efficient vehicles | Clean refining | Extended reserves Écrire ici dans le masque le nom de votre Direction.
Parallel Solution of the Poisson Problem Using MPI
CIS888.11V/EE894R/ME894V A Case Study in Computational Science & Engineering We will apply several numerical methods to find a steady state solution of.
A dangerous albeit unnecessary restriction in the design of classical semi-implicit schemes P. Bénard, P. Smolikova, J. Masek, J. Vivoda Météo-France,
An Integrated Hydrodynamic Approach to River, Sewer and Overland Flow Modelling presented by Andrew Walker Innovyze Ltd.
Discretization Methods Chapter 2. Training Manual May 15, 2001 Inventory # Discretization Methods Topics Equations and The Goal Brief overview.
PRESENTATION OF CFD ACTIVITIES IN CV GROUP Daniel Gasser.
A Non-iterative Hyperbolic, First-order Conservation Law Approach to Divergence-free Solutions to Maxwell’s Equations Richard J. Thompson 1 and Trevor.
Standardized Test Set for Nonhydrostatic Dynamical Cores of NWP Models
Perspectives on general coordinate models Motivation: –Single model (or framework/environment) for both global scale Adiabatic interior (hybrid coordinates)
Hans Burchard 1,2, Joanna Staneva 3, Götz Flöser 4, Rolf Riethmüller 4, Thomas Badewien 5, and Richard Hofmeister 1 1. Baltic Sea Research Institute Warnemünde,
Mass Coordinate WRF Dynamical Core - Eulerian geometric height coordinate (z) core (in framework, parallel, tested in idealized, NWP applications) - Eulerian.
1 Reformulation of the LM fast- waves equation part including a radiative upper boundary condition Almut Gassmann and Hans-Joachim Herzog (Meteorological.
Numerical investigation of breaking waves in a spectral environment Dmitry Chalikov, Alexander Babanin Swinburne University of Technology, Melbourne, Australia,
SAT Reading Strategies.
Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics Joyce E. Penner 1, Michael Herzog 2, Christiane Jablonowski 3, Bram van.
Numerics of Parametrization ECMWF training course May 2006 by Nils Wedi  ECMWF.
Deutscher Wetterdienst 1FE 13 – Working group 2: Dynamics and Numerics report ‘Oct – Sept. 2008’ COSMO General Meeting, Krakau
Department of Mechanical Engineering ME 322 – Mechanical Engineering Thermodynamics Lecture 4 Conservation and Balance Concepts.
Performance of a Semi-Implicit, Semi-Lagrangian Dynamical Core for High Resolution NWP over Complex Terrain L.Bonaventura D.Cesari.
Hydrodynamics Continuity equation Notation: Lagrangian derivative
Time Integration Schemes Bill Skamarock NCAR/MMM 1.Canonical equations for scheme analyses. 2.Time-integration schemes used in NWP models.
Physics of Hair Maxim Bovykin.
Computational Fluid Dynamics Lecture II Numerical Methods and Criteria for CFD Dr. Ugur GUVEN Professor of Aerospace Engineering.
SAT Reading Strategies.
© Fluent Inc. 1/10/2018L1 Fluids Review TRN Solution Methods.
SAT Reading Strategies.
Objective Numerical methods Finite volume.
Driven Lid Partially Filled Porous Cavity - Single Domain Approach
Need for Numerical Developments within COSMO J
topic11_shocktube_problem
SAT Reading STRATEGIES.
Conservative Dynamical Core (CDC)
Presentation transcript:

ALADIN NH Recent progress Petra Smolíková, Radmila Brožková

Vertical Coordinate Story In the beginning of the 90 th (last century): most of the research NH models are cast in z-type of coordinate; (NWP models use p-type for quite practical reasons) 1992: idea to use hydrostatic pressure coordinate (Laprise; mass-type coordinate) Trial in ALADIN despite some voices: it cannot work! 4 mousquetaires ( ): and why not?

Conception of ALADIN NH: collection of NWP choices SpectralSemi-implicitSemi-Lagrangian P-type coordinate Fully compressible not very common for high resolution LAM …And yet it runs; to get it wasn’t so easy

Period : end of first PhD network financing; 1996: first NH prototype in semi- Lagrangian (Embassy support); : 2 time-level scheme unstable, model is not robust enough; small actions all around with little results; need to work on the iterated time schemes but who? 2000: ALATNET financing with two positions on NH topics: revival

Stability aspects Concern: numerical control of both acoustic and gravity waves; Traditional semi-implicit approach seems insufficient; but why … Iterated scheme: predictor-corrector (PC), where the SI step is the predictor part To get fast convergence and efficiency, improvements in the SI step are necessary

Stability aspects, continuation The best predictor: good pre-conditioning Choice of prognostic variables: influences the shape of still explicitly treated residuals; Choice of prognostic variables: influences the shape of still explicitly treated residuals; Good choice may be verified by numerical analysis tool (not really by hand with a pencil and piece of paper) Good choice may be verified by numerical analysis tool (not really by hand with a pencil and piece of paper) Stability criteria : opposite for the two types of waves (gravity and acoustic); this makes a huge difference compared to hydrostatic equations Stability criteria : opposite for the two types of waves (gravity and acoustic); this makes a huge difference compared to hydrostatic equations

Example of the Predictor gain (change of variable, PYREX) “natural” variable, simple corrector added “numerical” variable, SI step only

Example of the Predictor-Corrector gain (1 full iteration, PYREX) SI step only, with a good variablecompleted by one full corrector step

Discretization Aspects Conservation of Energy Conservation of Angular Momentum (only for hydrostatic pressure part of the total gradient) Consistent treatment of the top and bottom boundary conditions: prescribing the value of the quantity or of its derivative

Example of gain by consistent discretization of the vertical momentum eq. (potential flow) chimney clean solution

Conclusions ALADIN NH is now a robust dynamical core at rather low cost (one iteration of the dry adiabatic step with a simple solver); The length of the time step probably reaches a world record; Quality of simulations is very good; Lesson 1: seek for understanding and use numerical analysis when facing difficulties Lesson 2: don’t believe that something is wrong because it is simple and hence never tried by self-appointed experts on complexity