Modeling orographic flows on unstructured meshes Piotr Smolarkiewicz, National Center for Atmospheric Research*, USA; Joanna Szmelter, Loughborough University,

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

Governing Equations III
Parameterization of orographic related momentum
The equations of motion and their numerical solutions I by Nils Wedi (2006) contributions by Mike Cullen and Piotr Smolarkiewicz.
Error Indicator based on the Multidimensional Positive Definite Advection Transport Algorithm (MPDATA) Joanna Szmelter Piotr K. Smolarkiewicz Cranfield.
Chapter 12: Mountain waves & downslope wind storms
A High-Order Finite-Volume Scheme for the Dynamical Core of Weather and Climate Models Christiane Jablonowski and Paul A. Ullrich, University of Michigan,
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Discretizing the Sphere for Multi-Scale Air Quality Simulations using Variable-Resolution Finite-Volume Techniques Martin J. Otte U.S. EPA Robert Walko.
(c) MSc Module MTMW14 : Numerical modelling of atmospheres and oceans Staggered schemes 3.1 Staggered time schemes.
Simulating Supercell Storms and Tornaodes in Unprecedented Detail and Accuracy Bob Wilhelmson Professor, Atmospheric Sciences Chief Scientist,
A Non-oscillatory Forward in Time Formulation for Incompressible Fluid Flows Joanna Szmelter, Pradeep K Manickam.
1 14tn ALADIN Workshop - Innsbruck Testing the new ACDRAG scheme in the ALPIA environment A tricky ping-ponggame Bart Catry Ghent University Belgium F.
1/36 Gridless Method for Solving Moving Boundary Problems Wang Hong Department of Mathematical Information Technology University of Jyväskyklä
Temperature Gradient Limits for Liquid-Protected Divertors S. I. Abdel-Khalik, S. Shin, and M. Yoda ARIES Meeting (June 2004) G. W. Woodruff School of.
A TWO-FLUID NUMERICAL MODEL OF THE LIMPET OWC CG Mingham, L Qian, DM Causon and DM Ingram Centre for Mathematical Modelling and Flow Analysis Manchester.
NCAR EULAG: a computational model for multi-scale flows, an overview *National Center for Atmospheric Research, Boulder, Colorado, U.S.A. Piotr K Smolarkiewicz*,
Hybrid WENO-FD and RKDG Method for Hyperbolic Conservation Laws
The equations of motion and their numerical solutions III by Nils Wedi (2006) contributions by Mike Cullen and Piotr Smolarkiewicz.
Zängl ICON The Icosahedral Nonhydrostatic model: Formulation of the dynamical core and physics-dynamics coupling Günther Zängl and the ICON.
NCAR ΔX O(10 -2 ) m O(10 2 ) m O(10 4 ) m O(10 7 ) m Cloud turbulence Gravity waves Global flows Solar convection Numerical merits of anelastic models.
Gravity Waves, Scale Asymptotics, and the Pseudo-Incompressible Equations Ulrich Achatz Goethe-Universität Frankfurt am Main Rupert Klein (FU Berlin) and.
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.
ECMWF Potsdam 2010 Slide 1 Non-hydrostatic model formulations for ultra-high resolution medium-range forecasting: compressible or anelastic ? EULAG workshop,
ECMWF 2015 Slide 1 Lagrangian/Eulerian equivalence for forward-in-time differencing for fluids Piotr Smolarkiewicz “The good Christian should beware of.
Priority project CDC Overview Task 1 COSMO-GM, Sept. 2010, Moscow M. Baldauf (DWD)
NCAR EULAG: high-resolution computational model for research of multi-scale geophysical fluid dynamics *National Center for Atmospheric Research, Boulder,
Richard Rotunno National Center for Atmospheric Research, USA Dynamic Mesoscale Mountain Meteorology Lecture 3: Mountain Waves.
59th Annual Meeting Division of Fluid Dynamics Initial-value problem for the two-dimensional growing wake S. Scarsoglio #, D.Tordella # and W. O. Criminale*
The equations of motion and their numerical solutions II by Nils Wedi (2006) contributions by Mike Cullen and Piotr Smolarkiewicz.
Numerical simulations of inertia-gravity waves and hydrostatic mountain waves using EULAG model Bogdan Rosa, Marcin Kurowski, Zbigniew Piotrowski and Michał.
KoreaCAM-EULAG February 2008 Implementation of a Non-Hydrostatic, Adaptive-Grid Dynamics Core in the NCAR Community Atmospheric Model William J. Gutowski,
Upstream propagating wave modes in moist and dry flow over topography Teddie Keller Rich Rotunno, Matthias Steiner, Bob Sharman Orographic Precipitation.
Toward all-scale simulation of moist atmospheric flows with soundproof equations Wojciech W. Grabowski 1, Marcin J. Kurowski 2, Zbigniew P. Piotrowski.
Implementation of Grid Adaptation in CAM: Comparison of Dynamic Cores Babatunde J. Abiodun 1,2 William J. Gutowski 1, and Joseph M. Prusa 1,3 1 Iowa State.
M. Baldauf, U. Blahak (DWD)1 Status report of WG2 - Numerics and Dynamics COSMO General Meeting Sept. 2013, Sibiu M. Baldauf, U. Blahak (DWD)
1 The Nonhydrostatic Icosahedral (NIM) Model: Description and Potential Use in Climate Prediction Alexander E. MacDonald Earth System Research Lab Climate.
Richard Rotunno National Center for Atmospheric Research, USA Dynamical Mesoscale Mountain Meteorology.
10-13 Sept. 2012M. Baldauf (DWD)1 Michael Baldauf Deutscher Wetterdienst, Offenbach, Germany Priority Project "Conservative Dynamical Core" Final report.
FALL 2015 Esra Sorgüven Öner
1 Priority Project CDC Task 2: The compressible approach COSMO-GM, , Moscow Pier Luigi Vitagliano (CIRA), Michael Baldauf (DWD)
Bogdan Rosa 1, Marcin Kurowski 1 and Michał Ziemiański 1 1. Institute of Meteorology and Water Management (IMGW), Warsaw Podleśna, 61
Standardized Test Set for Nonhydrostatic Dynamical Cores of NWP Models
SPH weekly meeting Free surface flows in Code Saturne Results 23/11/2009 Olivier Cozzi.
Scientific Computing Lab Outlook / State of Research Dr. Miriam Mehl Institut für Informatik Scientific Computing in Computer Science.
Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics Joyce E. Penner 1, Michael Herzog 2, Christiane Jablonowski 3, Bram van.
Global variable-resolution semi-Lagrangian model SL-AV: current status and further developments Mikhail Tolstykh Institute of Numerical Mathematics, Russian.
Performance of a Semi-Implicit, Semi-Lagrangian Dynamical Core for High Resolution NWP over Complex Terrain L.Bonaventura D.Cesari.
OVERVIEW ON FLOOD PROPAGATION AREA WORK First Impact Workshop Wallingford, UK May 16-17, 2002 F. Alcrudo University of Zaragoza WP3 Coordinator.
1 On forward in time differencing: an unstructured mesh framework Joanna Szmelter Piotr Smolarkiewicz Loughborough University NCAR UK Colorado USA.
Priority project CDC Task 1.4: Choice of the anelastic equation system and Milestone 3.2: Suitability of fundamental approximations PP CDC-Meeting, ,
ECMWF 2015 Slide 1 A hybrid all-scale finite-volume module for global NWP Piotr Smolarkiewicz, Willem Deconinck, Mats Hamrud, George Mozdzynski, Christian.
Chapter 13.1: flow over isolated peaks. 13.1: 3D perspective: What controls whether the flow goes around or over a mountain obstacle?
04, 2016, Reading Unified Framework for Discrete Integrations of Compressible and Soundproof PDEs of Atmospheric Dynamics.
Emerging Research Opportunities at the Climate Modeling Laboratory NC State University (Presentation at NIA Meeting: 9/04/03) Fredrick H. M. Semazzi North.
Loughborough University, UK
The Boussinesq and the Quasi-geostrophic approximations
A Proposed Test Suite for Atmospheric Model Dynamical Cores
National Taiwan University, Taiwan
Reporter: Prudence Chien
Supercells: Theory Richard Rotunno
T. Connor Nelson 09 December 2016 ATM: 509 Precipitation Processes
Loughborough University, UK
A TWO-FLUID NUMERICAL MODEL OF THE LIMPET OWC
Conservative Dynamical Core (CDC)
Perturbation equations for all-scale atmospheric dynamics
Outlines of NICAM NICAM (Nonhydrostatic ICosahedral Atmospheric Model)
Bogdan Rosa1, Marcin Kurowski1, Damian Wójcik1,
Conservative Dynamical Core (CDC)
Semi-implicit predictor-corrector methods for atmospheric models
Presentation transcript:

Modeling orographic flows on unstructured meshes Piotr Smolarkiewicz, National Center for Atmospheric Research*, USA; Joanna Szmelter, Loughborough University, United Kingdom * The National Center for Atmospheric Research is supported by the National Science Foundation

NCAR The twofold aim of this talk : highlight the progress with the development of a nonhydrostatic, soundproof, unstructured-mesh model for atmospheric flows; assess the accuracy of unstructured-mesh discretization relative to established structured-grid methods for orographic flows;

NCAR EULAG’s key features ( A suit of governing PDEs; numerical laboratory Conservative, nonoscillatory, forward in time (NFT) semi- implicit numerics Robust elliptic solver; “exact projection” Static /dynamic grid stretching with 2nd order accuracy Cloud cover and precipitation over the Alps Gray and blue volumes denote cloud water and rainfall, respectively.

NCAR Unstructured-mesh framework for atmospheric flows Smolarkiewicz  Szmelter, pubs in JCP, IJNMF,Comp. Fluids, Differential manifolds formulation Finite-volume NFT numerics with a fully unstructured spatial discretization, heritage of EULAG and its predecessors (A = MPDATA) Focus (so far) on wave phenomena across a range of scales and Mach, Froude & Rossby numbers 

NCAR The edge-based discretisation Edges Dual mesh, finite volumes

NCAR Nonhydrostatic Boussinesq mountain wave Szmelter & Smolarkiewicz, Comp. Fluids, 2011 Comparison with the EULAG’s results and the linear theories (Smith 1979, Durran 2003): 3% in wavelength; 8% in propagation angle; wave amplitude loss 7% over 7 wavelenghts NL/U o = 2.4

NCAR For [anelastic, pseudo-incompressible]: Soundproof generalizations Smolarkiewicz & Szmelter, Acta Geophysica, 2011

NCAR Numerics: 

NCAR Non-Boussinesq amplification and breaking of deep stratospheric gravity wave Prusa et al., JAS 1996; Smolarkiewicz & Margolin, Atmos. Ocean,1997; Klein, Ann. Rev. Fluid Dyn., 2010 NL/U o ≈ 1, Fr ≈ 1.6; o = 2  km  H ρ  A(H/2)=10h o = o isothermal reference profiles ; H θ = 3.5 H ρ t=1h t=1.5h t=2h EULAG “reference” solution using terrain-following  coordinates

NCAR unstructured-mesh “EULAG” solution, using mesh (left) mimicking terrain-following coordinates, and (right) a fully unstructured mesh t=1.5h Pseudo-incmpressible equations (Durran 1989) Anelastic equations (Lipps & Hemler 1982, Lipps 1990)

NCAR H θ  H ρ (RE: Achatz et al., JFM, 2010) t=0.75h ln θ

NCAR A global hydrostatic sound-proof model Isentropic model: Isosteric/isopycninc model:  = ρ -1,  =p, M ≡ gh +  (Szmelter & Smolarkiewicz, J. Comput. Phys. 2010)

NCAR Fr=2 Fr=1 Fr=0.5 Stratified (mesoscale) flow past an isolated hill on a reduced planet 4 hours Hunt & Snyder J. Fluid Mech. 1980; Smolar. & Rotunno, J. Atmos. Sci ; Wedi & Smolar., QJR 2009

NCAR Smith, Advances in Geophys 1979; Hunt, Olafsson & Bougeault, QJR 2001 h  =8 -1 o

NCAR Conclusions: Unstructured-mesh discretization sustains the accuracy of structured-grid discretization and offers full flexibility in spatial resolution. Future atmospheric models may blend structured/unstructured discretization techniques.