Mass Conserving Courant Number Independent Eulerian Advection of the Moisture Quantities for the LMK

Size: px
Start display at page:

Download "Mass Conserving Courant Number Independent Eulerian Advection of the Moisture Quantities for the LMK"

Transcription

1 Mass Conserving Courant Number Independent Eulerian Advection of the Moisture Quantities for the LMK Jochen Förstner, Michael Baldauf, Axel Seifert Deutscher Wetterdienst, Kaiserleistraße 29/35, Offenbach am Main J. Förstner - 6 March

2 Grid structure: Time integration: modes order TVD Aktionsprogramm 2003 horizontal: Arakawa-C staggered vertical: Lorenz staggered time-splitting (Klemp-Wilhelmson-splitting) of slow and fast 2-timelevels: Runge-Kutta Kutta: 2 nd order, 3 rd order, 3 rd (7km LM: 3-timelevels: Leapfrog (+ centered differences)) Advection: for u, v, w, p*, T: horizontal adv.: upwind 3 rd or 5 th order, centered 4 th or 6 th order vertical adv.: implicit centered 2 nd order, explicit upwind 3 rd or 5 th order (J.Förstner), implicit upwind 3 rd order (M. Baldauf) for q v, q c, q i, q r, q s, q g, TKE: Courant-number-independent (CNI) advection: Motivation: no constraint for w (deep convection!) Euler forward (J.Förstner): - van Leer-type scheme - Bott-scheme (2 nd, 4 th order) in Conservation Form Semi-Lagrange (M. Baldauf): - tri-linear: q r, q s, q g tri-cubic: q v, q c, q i, TKE (clipping) - tri-cubic: q v, q c, q i, q r, q s, q g, TKE (multiplicative filling) Smoothing: divergence damping 4 th order horizontal diffusion (to control instabilities near damping layers) J. Förstner - 6 March

3 Advective Form Flux Form 3D Wind Divergence Conservation Form diagnostic prognostic or 3D Strang-Splitting J. Förstner - 6 March

4 Courant Number Independent Formulation: Standard Courant Number Integer Flux Integer Courant Number Fractional Courant Number Fractional Flux Positive Definite Bott - Scheme: J. Förstner - 6 March

5 Solid Body Rotation of a tracer cone with an initial maximum of 1 Aktionsprogramm 2003 MAX( INT(Cr) ) = 2 (nearly 3) 80 time steps for one turn J. Förstner - 6 March

6 xz - Advection (u = 150 m/s, w = -10 m/s) of a tracer cone with an initial maximum of 1 Aktionsprogramm 2003 vertically stretched grid: MAX( INT(Cr) ) = 1 (near the bottom boundary) J. Förstner - 6 March

7 Aktionsprogramm 2003 southwesterly flow Observation Bott (2nd order) Flux Form - DIV (vqx) - qx v semi-lagrange qv, qc, qi: tri-cubic qr, qs, qg: tri-linear 07/08/2004 Mass Conserv. CNI Eulerian Advection of qx for the LMK LM-User 2006 J. Förstner - 6 March

8 southwesterly flow Observation Aktionsprogramm 2003 Bott (2 nd order) Conservation Form (ρvq x ) = (vρ x ) moist turbulence with (subscale) cloud diagnostic (only) scale clouds 07/08/2004 J. Förstner - 6 March

9 (north)westerly flow Observation Aktionsprogramm 2003 Bott (2 nd order) Flux Form - DIV (vq x ) - q x v semi-lagrange q v, q c, q i : tri-cubic q r, q s, q g : tri-linear 07/24/2004 J. Förstner - 6 March

10 Transport of Tracer in a Real Case Flow Field init Bott (2 nd ) Flux Form - DIV + Clipping semi- Lagrange (tri-cubic) + Clipping Bott (2 nd ) Conserv. Form

11 Bott (2 nd order) semi-lagrange J. Förstner - 6 March

12 ϕ n = (u, v, w, pp, T,...) n Physics-Dynamics Dynamics-Coupling Descr. of Advanced Research WRF Ver. 2 (2005) Physics (I) Radiation Shallow Convection Coriolis force Turbulence Physics (I) -Tendencies: Δϕ n (phys I) + Δϕ n-1 (phys II) Dynamics Runge-Kutta [ Δϕ (phys) + Δϕ (adv) fast waves ] ϕ * = (u, v, w, pp, T,...) * - Δϕ n-1 (phys II) Physics (II) Cloud Microphysics Physics (II) -Tendencies: Δϕ n (phys II) ϕ n+1 = (u, v, w, pp, T,...) n+1 J. Förstner - 6 March

13 Problems with New Physics-Dynamics-Coupling (NPDC) Negative feedback between NPDC and operational moist turbulence parameterization (... not present in dry turbulence parameterization) 2-Δz - structures in the specific cloud water field (q c ) 2-Δz - structures in the TKE field, unrealistic high values, where q c > 0 Measurements (K. Stephan, J. Förstner and M. Raschendorfer) Turbulence Parameterization Bug - correction in formulation of explicit correction No upper value for q c (scale) + q c (subscale) in SUBROUTINE cloud_diag (statistical scheme for cloud diagnostic) No vertical smoothing in calculation of explicit correction M. 1 (wichfakt = 0.0 in PHYCTL namelist) NPDC Latent heat conversions in SUBROUTINE satad (saturation adjustment) directly after Runge-Kutta dynamics are not taken into account M. 2 J. Förstner - 6 March

14 neither M. 1 nor M. 2 J. Förstner - 6 March

15 only M. 1 J. Förstner - 6 March

16 M. 1 and M. 2 J. Förstner - 6 March

17 Dynamic Bottom Boundary Condition... (Positive) Pressure Bias Problem blue: Old Bottom Boundary Cond. red: Dynamic Bottom Boundary Cond. (Figures by Torrisi, CNMCA Rom)... for metric pressure gradient term in equation for u-u and v-v component. Gaßmann (COSMO Newsletter No. 4) J. Förstner - 6 March

18 J. Förstner - 6 March

19 J. Förstner - 6 March

20 Dynamic BBC 4-Δ Low-Pass-Filter of Orography (whole Domain) Old BBC... plus 5-Δ extra Smoothing (for Δh 375 m) Dynamic BBC... plus 5-Δ extra Smoothing (for Δh 375 m) Old BBC... plus 6-Δ extra Smoothing (for Δh 250 m) Dynamic BBC... plus 6-Δ extra Smoothing (for Δh 250 m) J. Förstner - 6 March

21 LMK LME J. Förstner - 6 March

22 LMK LME J. Förstner - 6 March

23 LMK LME J. Förstner - 6 March

24 Summary and Outlook Aktionsprogramm 2003 Completely Revised Conservative Advection of Moisture Quantities: Clipping of negative values of q x (semi-lagrangian) and different diffusivity of the schemes: Model sensitivity with respect to patterns, (too small) mean and (too big) maximum values of precipitation. Monotone Bott schemes (slightly more diffusive than PD) necessary? Further Tests of the Various Options in LMK: semi-lagrangian (tri-cubic) with multiplicative filling / Eulerian advection of q x? New Coupling of Physics and Dynamics: Include (complete) diabatic forcing due to latent heat in RK scheme? Pressure Bias Problem solved? yes Corrected Moisture Convergence = d t q v Advection + d t q v Diffusion no... work with Lucio Torrisi in COSMO project Merge Different Turbulence Parameterizations (work with M. Raschendorfer has started) documentation, configuration of vertical layers and filter for orography, conservation properties, divergence damping, convergence tests, tuning,... J. Förstner - 6 March

The Runge-Kutta method

The Runge-Kutta method The Runge-Kutta method Advanced Numerics Seminar Langen, 08.03.2006 Michael Baldauf Deutscher Wetterdienst, Offenbach, Germany Outline View of LMK-Dynamics, -Numerics Time-splitting schemes General remarks

More information

Deutscher Wetterdienst

Deutscher Wetterdienst S-LC-RK3 (3-stage, 2nd order) + up5 (Wicker, Skamarock, 2002) TVD-RK3 (Shu, Osher, 1988) + up5 different small timesteps ΔT/Δt = 6 possible 2 2 1 1 1 1 better efficiency for S-LC-RK3 method used in COSMO-DE,

More information

Deutscher Wetterdienst

Deutscher Wetterdienst Stability Analysis of the Runge-Kutta Time Integration Schemes for the Convection resolving Model COSMO-DE (LMK) COSMO User Seminar, Langen 03.+04. March 2008 Michael Baldauf Deutscher Wetterdienst, Offenbach,

More information

Stabilitätsanalyse des Runge-Kutta- Zeitintegrationsschemas für das konvektionserlaubende Modell COSMO-DE

Stabilitätsanalyse des Runge-Kutta- Zeitintegrationsschemas für das konvektionserlaubende Modell COSMO-DE Stabilitätsanalyse des Runge-Kutta- Zeitintegrationsschemas für das konvektionserlaubende Modell COSMO-DE DACH-Tagung 20.-24.09.200, Bonn Michael Baldauf GB FE, Deutscher Wetterdienst, Offenbach M. Baldauf

More information

Split explicit methods

Split explicit methods Split explicit methods Almut Gassmann Meteorological Institute of the University of Bonn Germany St.Petersburg Summer School 2006 on nonhydrostatic dynamics and fine scale data assimilation Two common

More information

Weather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004

Weather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004 Weather Research and Forecasting Model Melissa Goering Glen Sampson ATMO 595E November 18, 2004 Outline What does WRF model do? WRF Standard Initialization WRF Dynamics Conservation Equations Grid staggering

More information

Convection Permitting Simulation of Extreme Precipitation Events Lessons Learned

Convection Permitting Simulation of Extreme Precipitation Events Lessons Learned Convection Permitting Simulation of Extreme Precipitation Events Lessons Learned A. F. Prein, M. Suklitsch, H. Truhetz, and A. Gobiet Wegener Center for Climate and Global Change (WEGC) and Institute for

More information

The Advanced Research WRF (ARW) Dynamics Solver

The Advanced Research WRF (ARW) Dynamics Solver Dynamics: Introduction The Advanced Research WRF (ARW) Dynamics Solver 1. What is a dynamics solver? 2. Variables and coordinates 3. Equations 4. Time integration scheme 5. Grid staggering 6. Advection

More information

The 'Conservative Dynamical Core' priority. developments in the COSMO model

The 'Conservative Dynamical Core' priority. developments in the COSMO model 1 The 'Conservative Dynamical Core' priority project and other current dynamics developments in the COSMO model 33 rd EWGLAM and 18 th SRNWP meeting 10-13 Oct. 2011, Tallinn, Estonia M. Baldauf, U. Blahak

More information

Description of. Jimy Dudhia Dave Gill. Bill Skamarock. WPS d1 output. WPS d2 output Real and WRF. real.exe General Functions.

Description of. Jimy Dudhia Dave Gill. Bill Skamarock. WPS d1 output. WPS d2 output Real and WRF. real.exe General Functions. WPS d1 output WPS d2 output Real and WRF Description of real.exe General Functions Jimy Dudhia Dave Gill wrf d01 input wrf d01 bdy wrf d02 input Bill Skamarock wrf.exe Real program in a nutshell Function

More information

COSMO / CLM Training Course

COSMO / CLM Training Course COSMO / CLM Training Course DWD and the CLM-Community DWD Training and Conference Center (BTZ) in Langen 02-06 March 2009 Introduction The COSMO-model together with the preprocessing package is a state

More information

Flux Diagnosis in the COSMO model and their problems

Flux Diagnosis in the COSMO model and their problems Flux Diagnosis in the COSMO model and their problems Ronny Petrik 1 Michael Baldauf 2 Almut Gassmann 1 1 Max-Planck-institute for meteorology 2 German Weather Service 2nd March 2008 Outline Motivation

More information

PALM - Cloud Physics. Contents. PALM group. last update: Monday 21 st September, 2015

PALM - Cloud Physics. Contents. PALM group. last update: Monday 21 st September, 2015 PALM - Cloud Physics PALM group Institute of Meteorology and Climatology, Leibniz Universität Hannover last update: Monday 21 st September, 2015 PALM group PALM Seminar 1 / 16 Contents Motivation Approach

More information

2.39 A NEW METHOD FOR THE NOWCASTING OF STRATIFORM PRECIPITATION USING RADAR DATA AND THE HORIZONTAL WIND FIELD OF THE GERMAN LOKALMODELL (LM).

2.39 A NEW METHOD FOR THE NOWCASTING OF STRATIFORM PRECIPITATION USING RADAR DATA AND THE HORIZONTAL WIND FIELD OF THE GERMAN LOKALMODELL (LM). 2.39 A NEW METHOD FOR THE NOWCASTING OF STRATIFORM PRECIPITATION USING RADAR DATA AND THE HORIZONTAL WIND FIELD OF THE GERMAN LOKALMODELL (LM). Tanja Winterrath * Deutscher Wetterdienst, Offenbach am Main,

More information

Convection-Resolving Model Simulations: Process-Based Comparison of LM Results with Observations

Convection-Resolving Model Simulations: Process-Based Comparison of LM Results with Observations Convection-Resolving Model Simulations: Process-Based Comparison of LM Results with Observations Jörg Trentmann, Britta Wecker, Marcus Paulat, Heini Wernli, Ulrich Corsmeier, Jan Handwerker Goal Improve

More information

Formulation and performance of the Variable-Cubic Atmospheric Model

Formulation and performance of the Variable-Cubic Atmospheric Model Formulation and performance of the Variable-Cubic Atmospheric Model John McGregor CSIRO Marine and Atmospheric Research Aspendale, Melbourne Southern Hemisphere PDEs on the Sphere NCAR 11 April 2014 CSIRO

More information

The Shallow Water Equations

The Shallow Water Equations If you have not already done so, you are strongly encouraged to read the companion file on the non-divergent barotropic vorticity equation, before proceeding to this shallow water case. We do not repeat

More information

Horizontal nonlinear Smagorinsky diffusion

Horizontal nonlinear Smagorinsky diffusion 1 Working Group on Numerical Aspects 3 Horizontal nonlinear Smagorinsky diffusion M. Baldauf and G. Zängl Deutscher Wetterdienst, Offenbach, Germany 1 Introduction The COSMO model uses several diffusion

More information

ICON. The Icosahedral Nonhydrostatic model: Formulation of the dynamical core and physics-dynamics coupling

ICON. The Icosahedral Nonhydrostatic model: Formulation of the dynamical core and physics-dynamics coupling ICON The Icosahedral Nonhydrostatic model: Formulation of the dynamical core and physics-dynamics coupling Günther Zängl and the ICON deelopment team PDEs on the sphere 2012 Outline Introduction: Main

More information

A Revised Version of the Cloud Microphysical Parameterization of COSMO-LME

A Revised Version of the Cloud Microphysical Parameterization of COSMO-LME A Revised Version of the Cloud Microphysical Parameterization of COSMO-LME Axel Seifert DWD, Offenbach -1- Motivation: Well known problems of COSMO-LME regards wintertime precipitation: Overestimation

More information

3D-Transport of Precipitation

3D-Transport of Precipitation 3D-Transport of Precipitation Almut Gassmann DWD/FE 13 October 17, 2000 1 Current diagnostic scheme for gridscale precipitation The current scheme for gridscale precipitation assumes column equilibrium

More information

Jacobians of transformation 115, 343 calculation of 199. Klemp and Wilhelmson open boundary condition 159 Kuo scheme 190

Jacobians of transformation 115, 343 calculation of 199. Klemp and Wilhelmson open boundary condition 159 Kuo scheme 190 Index A acoustic modes 121 acoustically active terms 126 adaptive grid refinement (AGR) 206 Advanced Regional Prediction System 3 advection term 128 advective form 129 flux form 129 Allfiles.tar 26 alternating

More information

WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities

WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities Jason Otkin Cooperative Institute for Meteorological Satellite Studies Space Science and Engineering Center University of Wisconsin

More information

Update on CAM and the AMWG. Recent activities and near-term priorities. by the AMWG

Update on CAM and the AMWG. Recent activities and near-term priorities. by the AMWG Update on CAM and the AMWG. Recent activities and near-term priorities. by the AMWG The CAM family Model CAM3 CCSM3 CAM4 CCSM4 CAM5 (CAM5.1) CESM1.0 (CESM1.0.3) CAM5.2 CESM1.1 Release Jun 2004 Apr 2010

More information

Deutscher Wetterdienst

Deutscher Wetterdienst Deutscher Wetterdienst Modelling the Volcanic Ash Episode: Experiences with COSMO-ART Detlev Majewski (FE1) Bernhard Vogel, Heike Vogel (KIT) Thomas Hanisch, Jochen Förstner (FE13), Ulrich Pflüger (FE15)

More information

HWRF Dynamics The WRF-NMM

HWRF Dynamics The WRF-NMM HWRF Dynamics The WRF-NMM Zavisa Janjic Creator of the NMM Samuel Trahan - Presenter Matt Pyle NMM Dynamic Solver Basic Principles Equations / Variables Model Integration Horizontal Grid Spatial Discretization

More information

Prognostic Precipitation in the Lokal-Modell (LM)

Prognostic Precipitation in the Lokal-Modell (LM) Prognostic Precipitation in the Lokal-Modell (LM) Michael Baldauf, Günther Doms German Weather Service (DWD), Offenbach, Germany COSMO-Meeting, Mailand, 22.09.2004 COSMO, Work Package 2.1.1: Task: replacement

More information

ICON. The Icosahedral Nonhydrostatic modelling framework

ICON. The Icosahedral Nonhydrostatic modelling framework ICON The Icosahedral Nonhydrostatic modelling framework Basic formulation, NWP and high-performance computing aspects, and its perspective towards a unified model for seamless prediction Günther Zängl,

More information

Overview of COSMO WG3a activities Upper air physical aspects. Federico Grazzini, ARPA Emilia-Romagna Servizio Idro Meteo Clima (SIMC)

Overview of COSMO WG3a activities Upper air physical aspects. Federico Grazzini, ARPA Emilia-Romagna Servizio Idro Meteo Clima (SIMC) Overview of COSMO WG3a activities Upper air physical aspects Federico Grazzini, ARPA Emilia-Romagna Servizio Idro Meteo Clima (SIMC) The former WG3 has been split: wg coordinator Federico Grazzini Scientists

More information

Development of Yin-Yang Grid Global Model Using a New Dynamical Core ASUCA.

Development of Yin-Yang Grid Global Model Using a New Dynamical Core ASUCA. Development of Yin-Yang Grid Global Model Using a New Dynamical Core ASUCA. M. Sakamoto, J. Ishida, K. Kawano, K. Matsubayashi, K. Aranami, T. Hara, H. Kusabiraki, C. Muroi, Y. Kitamura Japan Meteorological

More information

A hierarchy of one- and two-moment microphysical parameterizations in the COSMO model

A hierarchy of one- and two-moment microphysical parameterizations in the COSMO model Deutscher Wetterdienst GB Forschung und Entwicklung A hierarchy of one- and two-moment microphysical parameterizations in the COSMO model Axel Seifert German Weather Service Offenbach, Germany Ulrich Blahak

More information

The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science

The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science Outline Basic Dynamical Equations Numerical Methods Initialization

More information

Comparing the formulations of CCAM and VCAM and aspects of their performance

Comparing the formulations of CCAM and VCAM and aspects of their performance Comparing the formulations of CCAM and VCAM and aspects of their performance John McGregor CSIRO Marine and Atmospheric Research Aspendale, Melbourne PDEs on the Sphere Cambridge 28 September 2012 CSIRO

More information

A Global Atmospheric Model. Joe Tribbia NCAR Turbulence Summer School July 2008

A Global Atmospheric Model. Joe Tribbia NCAR Turbulence Summer School July 2008 A Global Atmospheric Model Joe Tribbia NCAR Turbulence Summer School July 2008 Outline Broad overview of what is in a global climate/weather model of the atmosphere Spectral dynamical core Some results-climate

More information

Using hybrid isentropic-sigma vertical coordinates in nonhydrostatic atmospheric modeling

Using hybrid isentropic-sigma vertical coordinates in nonhydrostatic atmospheric modeling Using hybrid isentropic-sigma vertical coordinates in nonhydrostatic atmospheric modeling Michael D. Toy NCAR Earth System Laboratory/ Advanced Study Program Boulder, Colorado, USA 9th International SRNWP

More information

Implementation of stochastic physics in COSMO: recent tests

Implementation of stochastic physics in COSMO: recent tests Implementation of stochastic physics in COSMO: recent tests Lucio Torrisi CNMCA, National Meteorological Center,Italy 14 COSMO-General Meeting, Lugano, 10-13 September 2 012 Outline Buizza stochastic physics

More information

Implementation and validation of the. ECMWF IFS convection scheme. in COSMO-CLM. Peter Brockhaus. Daniel Lüthi. Christoph Schär

Implementation and validation of the. ECMWF IFS convection scheme. in COSMO-CLM. Peter Brockhaus. Daniel Lüthi. Christoph Schär Implementation and validation of the ECMWF IFS convection scheme in COSMO-CLM Peter Brockhaus Peter Bechtold Daniel Lüthi Oliver Fuhrer Christoph Schär (ETH) (ECMWF) (ETH) (MeteoSwiss) (ETH) COSMO/CLM

More information

From small-scale turbulence to large-scale convection: a unified scale-adaptive EDMF parameterization

From small-scale turbulence to large-scale convection: a unified scale-adaptive EDMF parameterization From small-scale turbulence to large-scale convection: a unified scale-adaptive EDMF parameterization Kay Sušelj 1, Joao Teixeira 1 and Marcin Kurowski 1,2 1 JET PROPULSION LABORATORY/CALIFORNIA INSTITUTE

More information

1 INTRODUCTION 2 MODEL SETUP

1 INTRODUCTION 2 MODEL SETUP 8.1 INFLUENCE OF AMBIENT ENVIRONMENTAL CONDITIONS AND OROGRAPHY ON THE CHARACTERISTICS OF DEEP CONVECTIVE CELLS AS SIMULATED WITH A SOPHISTICATED TWO-MOMENT (BULK) MICROPHYSICAL SCHEME Ulrich Blahak, H.

More information

Hydrostatic Hamiltonian particle-mesh (HPM) methods for atmospheric modeling.

Hydrostatic Hamiltonian particle-mesh (HPM) methods for atmospheric modeling. Hydrostatic Hamiltonian particle-mesh (HPM) methods for atmospheric modeling. Seoleun Shin Sebastian Reich Jason Frank August 19, 11 Abstract We develop a hydrostatic Hamiltonian particle-mesh (HPM) method

More information

PV Generation in the Boundary Layer

PV Generation in the Boundary Layer 1 PV Generation in the Boundary Layer Robert Plant 18th February 2003 (With thanks to S. Belcher) 2 Introduction How does the boundary layer modify the behaviour of weather systems? Often regarded as a

More information

Simulation of heavy precipitation events with the COSMO model

Simulation of heavy precipitation events with the COSMO model LM User Seminar, 6 March 2007, Langen Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Simulation of heavy precipitation events with the COSMO model Silke

More information

MOX EXPONENTIAL INTEGRATORS FOR MULTIPLE TIME SCALE PROBLEMS OF ENVIRONMENTAL FLUID DYNAMICS. Innsbruck Workshop October

MOX EXPONENTIAL INTEGRATORS FOR MULTIPLE TIME SCALE PROBLEMS OF ENVIRONMENTAL FLUID DYNAMICS. Innsbruck Workshop October Innsbruck Workshop October 29 21 EXPONENTIAL INTEGRATORS FOR MULTIPLE TIME SCALE PROBLEMS OF ENVIRONMENTAL FLUID DYNAMICS Luca Bonaventura - Modellistica e Calcolo Scientifico Dipartimento di Matematica

More information

Cloud parameterization and cloud prediction scheme in Eta numerical weather model

Cloud parameterization and cloud prediction scheme in Eta numerical weather model Cloud parameterization and cloud prediction scheme in Eta numerical weather model Belgrade, 10th September, 2018 Ivan Ristić, CEO at Weather2 Ivana Kordić, meteorologist at Weather2 Introduction Models

More information

Numerical Oscillations and how to avoid them

Numerical Oscillations and how to avoid them Numerical Oscillations and how to avoid them Willem Hundsdorfer Talk for CWI Scientific Meeting, based on work with Anna Mozartova (CWI, RBS) & Marc Spijker (Leiden Univ.) For details: see thesis of A.

More information

A Description of the. Nonhydrostatic Regional COSMO-Model. Part VII : User s Guide

A Description of the. Nonhydrostatic Regional COSMO-Model. Part VII : User s Guide Consortium for Small-Scale Modelling A Description of the Nonhydrostatic Regional COSMO-Model Part VII : User s Guide U. Schättler, G. Doms, and C. Schraff COSMO V5.05 April 2018 www.cosmo-model.org Printed

More information

Variational soil assimilation at DWD

Variational soil assimilation at DWD Variational soil assimilation at DWD Werner Wergen, Reinhold Hess and Martin Lange Deutscher Wetterdienst Offenbach am Main, Germany The soil moisture assimilation scheme (SMA) at DWD Full description

More information

Report of the Scientific Project Manager

Report of the Scientific Project Manager Report of the Scientific Project Manager G. Doms, DWD, 4th COSMO General Meeting, Warsaw, Poland Status of the LM LM Version 2.13 (18 January 2002) - Option for use of Wind profiler/rass reports - Adjustments

More information

A new option for Rayleigh damping

A new option for Rayleigh damping A new option for Rayleigh damping Lucio TORRISI CNMCA Pratica di Mare (Rome) l.torrisi@meteoam.it Overview Role of a Rayleigh damping layer at the top of the computational domain. Motivation for a new

More information

Francis X. Giraldo,

Francis X. Giraldo, 1 Time-Integrators Francis X. Giraldo, giraldo@nrlmry.navy.mil, www.nrlmry.navy.mil/~giraldo/projects/nseam.html 1.1 Introduction Roughly speaking, there are 2 classes of TIs: 1. EulerianMethods(fixed-frame-e.g.,arockatthebottomofaflowing

More information

Impact of horizontal diffusion, radiation and cloudiness parametrization on fog forecasting in valleys (Meteorol Atmos Phys, 2010, 108:57-70)

Impact of horizontal diffusion, radiation and cloudiness parametrization on fog forecasting in valleys (Meteorol Atmos Phys, 2010, 108:57-70) Impact of horizontal diffusion, radiation and cloudiness parametrization on fog forecasting in valleys (Meteorol Atmos Phys, 2010, 108:57-70) Martina Tudor Research Department Croatian Meteorological and

More information

A Time-Split Nonhydrostatic Atmospheric Model for Weather Research and Forecasting Applications. William C. Skamarock and Joseph B.

A Time-Split Nonhydrostatic Atmospheric Model for Weather Research and Forecasting Applications. William C. Skamarock and Joseph B. A Time-Split Nonhydrostatic Atmospheric Model for Weather Research and Forecasting Applications William C. Skamarock and Joseph B. Klemp National Center for Atmospheric Research, Boulder, Colorado Submitted

More information

Description of the fire scheme in WRF

Description of the fire scheme in WRF Description of the fire scheme in WRF March 8, 2010 1 Introduction The wildland fire model in WRF is an implementation of the semi-empirical fire propagation model developed in Coen (2005) and Clark et

More information

Toward the Mitigation of Spurious Cloud-Edge Supersaturation in Cloud Models

Toward the Mitigation of Spurious Cloud-Edge Supersaturation in Cloud Models 1224 M O N T H L Y W E A T H E R R E V I E W VOLUME 136 Toward the Mitigation of Spurious Cloud-Edge Supersaturation in Cloud Models WOJCIECH W. GRABOWSKI AND HUGH MORRISON National Center for Atmospheric

More information

Idealized Nonhydrostatic Supercell Simulations in the Global MPAS

Idealized Nonhydrostatic Supercell Simulations in the Global MPAS Idealized Nonhydrostatic Supercell Simulations in the Global Joe Klemp, Bill Skamarock, and Sang-Hun Park National Center for Atmospheric Research Boulder, Colorado Typical characteristics: Supercell Thunderstorms

More information

ALARO-0 at the RMI. Alex, Daan, Geert, Josette, Luc, Olivier, Rafiq, Piet( s first operational talk)

ALARO-0 at the RMI. Alex, Daan, Geert, Josette, Luc, Olivier, Rafiq, Piet( s first operational talk) ALARO-0 at the RMI Alex, Daan, Geert, Josette, Luc, Olivier, Rafiq, Piet( s first operational talk) Operational use of Alaro-0 0 at RMIB The model (cy35t1) is run 4 times a day, at: 1. Resolution 4km (square

More information

A semi-implicit non-hydrostatic covariant dynamical kernel using spectral representation in the horizontal and a height based vertical coordinate

A semi-implicit non-hydrostatic covariant dynamical kernel using spectral representation in the horizontal and a height based vertical coordinate A semi-implicit non-hydrostatic covariant dynamical kernel using spectral representation in the horizontal and a height based vertical coordinate Juan Simarro and Mariano Hortal AEMET Agencia Estatal de

More information

NWP Equations (Adapted from UCAR/COMET Online Modules)

NWP Equations (Adapted from UCAR/COMET Online Modules) NWP Equations (Adapted from UCAR/COMET Online Modules) Certain physical laws of motion and conservation of energy (for example, Newton's Second Law of Motion and the First Law of Thermodynamics) govern

More information

The prognostic deep convection parametrization for operational forecast in horizontal resolutions of 8, 4 and 2 km

The prognostic deep convection parametrization for operational forecast in horizontal resolutions of 8, 4 and 2 km The prognostic deep convection parametrization for operational forecast in horizontal resolutions of 8, 4 and 2 km Martina Tudor, Stjepan Ivatek-Šahdan and Antonio Stanešić tudor@cirus.dhz.hr Croatian

More information

1 Introduction to Governing Equations 2 1a Methodology... 2

1 Introduction to Governing Equations 2 1a Methodology... 2 Contents 1 Introduction to Governing Equations 2 1a Methodology............................ 2 2 Equation of State 2 2a Mean and Turbulent Parts...................... 3 2b Reynolds Averaging.........................

More information

CAM-SE: Lecture I. Peter Hjort Lauritzen

CAM-SE: Lecture I. Peter Hjort Lauritzen CAM-SE: Lecture I Peter Hjort Lauritzen Atmospheric Modeling and Predictability Section Climate and Global Dynamics Laboratory National Center for Atmospheric Research 2nd WCRP Summer School on Climate

More information

Numerical Hydraulics

Numerical Hydraulics ETHZ, Fall 017 Numerical Hydraulics Assignment 4 Numerical solution of 1D solute transport using Matlab http://www.bafg.de/ http://warholian.com Numerical Hydraulics Assignment 4 ETH 017 1 Introduction

More information

5. General Circulation Models

5. General Circulation Models 5. General Circulation Models I. 3-D Climate Models (General Circulation Models) To include the full three-dimensional aspect of climate, including the calculation of the dynamical transports, requires

More information

Overview of the Numerics of the ECMWF. Atmospheric Forecast Model

Overview of the Numerics of the ECMWF. Atmospheric Forecast Model Overview of the Numerics of the Atmospheric Forecast Model M. Hortal Seminar 6 Sept 2004 Slide 1 Characteristics of the model Hydrostatic shallow-atmosphere approimation Pressure-based hybrid vertical

More information

Clouds in GEM and calculation of cloud cover variables. Author of french version: Paul Vaillancourt. Translated to english by Gary Toth

Clouds in GEM and calculation of cloud cover variables. Author of french version: Paul Vaillancourt. Translated to english by Gary Toth Clouds in GEM and calculation of cloud cover variables Author of french version: Paul Vaillancourt Translated to english by Gary Toth Date: v1:octobre 2008 ; v2: January 2009; translated April 2009 1.

More information

Mechanisms and prediction of precipitation over complex terrain

Mechanisms and prediction of precipitation over complex terrain Mechanisms and prediction of precipitation over complex terrain S. Wassermann, M. Kunz, Ch. Kottmeier Institut für Meteorologie und Klimaforschung, Universität Karlsruhe (TH) / International PhD-students

More information

ATS 421/521. Climate Modeling. Spring 2015

ATS 421/521. Climate Modeling. Spring 2015 ATS 421/521 Climate Modeling Spring 2015 Lecture 9 Hadley Circulation (Held and Hou, 1980) General Circulation Models (tetbook chapter 3.2.3; course notes chapter 5.3) The Primitive Equations (tetbook

More information

The WRF NMM Core. Zavisa Janjic Talk modified and presented by Matthew Pyle

The WRF NMM Core. Zavisa Janjic Talk modified and presented by Matthew Pyle The WRF NMM Core Zavisa Janjic (Zavisa.Janjic@noaa.gov) Talk modified and presented by Matthew Pyle (Matthew.Pyle@noaa.gov) NMM Dynamic Solver Basic Principles Equations / Variables Model Integration Horizontal

More information

Developments at DWD: Integrated water vapour (IWV) from ground-based GPS

Developments at DWD: Integrated water vapour (IWV) from ground-based GPS 1 Working Group on Data Assimilation 2 Developments at DWD: Integrated water vapour (IWV) from ground-based Christoph Schraff, Maria Tomassini, and Klaus Stephan Deutscher Wetterdienst, Frankfurter Strasse

More information

Semi-Lagrangian Formulations for Linear Advection Equations and Applications to Kinetic Equations

Semi-Lagrangian Formulations for Linear Advection Equations and Applications to Kinetic Equations Semi-Lagrangian Formulations for Linear Advection and Applications to Kinetic Department of Mathematical and Computer Science Colorado School of Mines joint work w/ Chi-Wang Shu Supported by NSF and AFOSR.

More information

Assimilation of radar reflectivity

Assimilation of radar reflectivity Assimilation of radar reflectivity Axel Seifert Deutscher Wetterdienst, Offenbach, Germany Convective-scale NWP at DWD: Plans for 2020 Storm-scale ICON-RUC-EPS: hourly 12h ensemble forecasts based on short

More information

Namelist for MUSC and forcing routines

Namelist for MUSC and forcing routines Namelist for MUSC and forcing routines E. Bazile (CNRMGMAP) Atmospheric forcing: NAMLSFORC! ------------------------------------------------------------------ NAMELISTNAMLSFORC & LGEOST_UV_FRC, RCORIO_FORC,

More information

ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION REMARKS AND MOTIVATIONS

ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION REMARKS AND MOTIVATIONS ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION Laura D. Fowler 1, Mary C. Barth 1, K. Alapaty 2, M. Branson 3, and D. Dazlich 3 1

More information

Model description of AGCM5 of GFD-Dennou-Club edition. SWAMP project, GFD-Dennou-Club

Model description of AGCM5 of GFD-Dennou-Club edition. SWAMP project, GFD-Dennou-Club Model description of AGCM5 of GFD-Dennou-Club edition SWAMP project, GFD-Dennou-Club Mar 01, 2006 AGCM5 of the GFD-DENNOU CLUB edition is a three-dimensional primitive system on a sphere (Swamp Project,

More information

Experiments with Idealized Supercell Simulations

Experiments with Idealized Supercell Simulations Latent Heat Nudging in almo: Experiments with Idealized Supercell Simulations Daniel Leuenberger and Andrea Rossa MeteoSwiss Talk Outline Introduction Supercell Storms Characteristics Reference simulation

More information

A Large-Eddy Simulation Study of Moist Convection Initiation over Heterogeneous Surface Fluxes

A Large-Eddy Simulation Study of Moist Convection Initiation over Heterogeneous Surface Fluxes A Large-Eddy Simulation Study of Moist Convection Initiation over Heterogeneous Surface Fluxes Song-Lak Kang Atmospheric Science Group, Texas Tech Univ. & George H. Bryan MMM, NCAR 20 th Symposium on Boundary

More information

Higher-order closures and cloud parameterizations

Higher-order closures and cloud parameterizations Higher-order closures and cloud parameterizations Jean-Christophe Golaz National Research Council, Naval Research Laboratory Monterey, CA Vincent E. Larson Atmospheric Science Group, Dept. of Math Sciences

More information

Diurnal Timescale Feedbacks in the Tropical Cumulus Regime

Diurnal Timescale Feedbacks in the Tropical Cumulus Regime DYNAMO Sounding Array Diurnal Timescale Feedbacks in the Tropical Cumulus Regime James Ruppert Max Planck Institute for Meteorology, Hamburg, Germany GEWEX CPCM, Tropical Climate Part 1 8 September 2016

More information

APPENDIX B. The primitive equations

APPENDIX B. The primitive equations APPENDIX B The primitive equations The physical and mathematical basis of all methods of dynamical atmospheric prediction lies in the principles of conservation of momentum, mass, and energy. Applied to

More information

Lecture 7: The Monash Simple Climate

Lecture 7: The Monash Simple Climate Climate of the Ocean Lecture 7: The Monash Simple Climate Model Dr. Claudia Frauen Leibniz Institute for Baltic Sea Research Warnemünde (IOW) claudia.frauen@io-warnemuende.de Outline: Motivation The GREB

More information

Parametrizing Cloud Cover in Large-scale Models

Parametrizing Cloud Cover in Large-scale Models Parametrizing Cloud Cover in Large-scale Models Stephen A. Klein Lawrence Livermore National Laboratory Ming Zhao Princeton University Robert Pincus Earth System Research Laboratory November 14, 006 European

More information

WaVaCS summerschool Autumn 2009 Cargese, Corsica

WaVaCS summerschool Autumn 2009 Cargese, Corsica Introduction Part I WaVaCS summerschool Autumn 2009 Cargese, Corsica Holger Tost Max Planck Institute for Chemistry, Mainz, Germany Introduction Overview What is a parameterisation and why using it? Fundamentals

More information

Centre report - DWD. 27 th WGNE meeting Oct. 2011, Boulder. M. Baldauf, M. Lange, H. Frank, G. Zängl, B. Früh (DWD)

Centre report - DWD. 27 th WGNE meeting Oct. 2011, Boulder. M. Baldauf, M. Lange, H. Frank, G. Zängl, B. Früh (DWD) Centre report - DWD 27 th WGNE meeting 17-21 Oct. 2011, Boulder M. Baldauf, M. Lange, H. Frank, G. Zängl, B. Früh (DWD) Supercomputing environment at DWD (Sept. 2011) One production and one research computer

More information

CONVECTION-ALLOWING SIMULATIONS OF COLD POOLS IN THE NORTHWESTERN SAHARA

CONVECTION-ALLOWING SIMULATIONS OF COLD POOLS IN THE NORTHWESTERN SAHARA COSMO User Seminar, Langen, 4th March 2008 CONVECTION-ALLOWING SIMULATIONS OF COLD POOLS IN THE NORTHWESTERN SAHARA 1 Peter Knippertz, 1 Jörg Trentmann & 2 Axel Seifert 1 Institute for Atmospheric Physics,

More information

Conservative Scheme for a Compressible Nonhydrostatic Model with Moist Processes

Conservative Scheme for a Compressible Nonhydrostatic Model with Moist Processes VOLUME 3 MONTHLY WEATHER REVIEW JUNE 2003 Conservative Scheme for a Compressible Nonhydrostatic Model with Moist Processes MASAKI SATOH Frontier Research System for Global Change/Saitama Institute of Technology,

More information

Hydrodynamic conservation laws and turbulent friction in atmospheric circulation models

Hydrodynamic conservation laws and turbulent friction in atmospheric circulation models Hydrodynamic conservation laws and turbulent friction in atmospheric circulation models Erich Becker Leibniz-Institute of Atmospheric Physics, Kühlungsborn, Germany Including contributions from Ulrike

More information

Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section

Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section Cécile Hannay, Dave Williamson, Rich Neale, Jerry Olson, Dennis Shea National Center for Atmospheric

More information

Implementation and Evaluation of WSR-88D Reflectivity Data Assimilation for WRF-ARW via GSI and Cloud Analysis. Ming Hu University of Oklahoma

Implementation and Evaluation of WSR-88D Reflectivity Data Assimilation for WRF-ARW via GSI and Cloud Analysis. Ming Hu University of Oklahoma Implementation and Evaluation of WSR-88D Reflectivity Data Assimilation for WRF-ARW via GSI and Cloud Analysis Ming Hu University of Oklahoma 1. Previous work and Goal of visiting Previous work: Radar

More information

Recent tests with the operational CNMCA-LETKF system

Recent tests with the operational CNMCA-LETKF system Recent tests with the operational CNMCA-LETKF system Francesca Marcucci and Lucio Torrisi IAF Operational Center for Meteorology (COMET), Pratica di Mare Italy COSMO-GM 2015 07-10 September 2015, Wroclaw,

More information

way and atmospheric models

way and atmospheric models Scale-consistent consistent two-way way coupling of land-surface and atmospheric models COSMO-User-Seminar 9-11 March 2009 Annika Schomburg, Victor Venema, Felix Ament, Clemens Simmer TR / SFB 32 Objective

More information

P1.1 THE QUALITY OF HORIZONTAL ADVECTIVE TENDENCIES IN ATMOSPHERIC MODELS FOR THE 3 RD GABLS SCM INTERCOMPARISON CASE

P1.1 THE QUALITY OF HORIZONTAL ADVECTIVE TENDENCIES IN ATMOSPHERIC MODELS FOR THE 3 RD GABLS SCM INTERCOMPARISON CASE P1.1 THE QUALITY OF HORIZONTAL ADVECTIVE TENDENCIES IN ATMOSPHERIC MODELS FOR THE 3 RD GABLS SCM INTERCOMPARISON CASE Fred C. Bosveld 1*, Erik van Meijgaard 1, Evert I. F. de Bruijn 1 and Gert-Jan Steeneveld

More information

Fluid Animation. Christopher Batty November 17, 2011

Fluid Animation. Christopher Batty November 17, 2011 Fluid Animation Christopher Batty November 17, 2011 What distinguishes fluids? What distinguishes fluids? No preferred shape Always flows when force is applied Deforms to fit its container Internal forces

More information

JP1.15 PHYSICAL INITIALIZATION TO INCORPORATE RADAR PRECIPITATION DATA INTO A NUMERICAL WEATHER PREDICTION MODEL (Lokal Model)

JP1.15 PHYSICAL INITIALIZATION TO INCORPORATE RADAR PRECIPITATION DATA INTO A NUMERICAL WEATHER PREDICTION MODEL (Lokal Model) JP1.15 PHYSICAL INITIALIZATION TO INCORPORATE RADAR PRECIPITATION DATA INTO A NUMERICAL WEATHER PREDICTION MODEL (Lokal Model) M. Milan 1, F. Ament 1, V. Venema 1, A. Battaglia 1, C. Simmer 1 1 Meteorological

More information

Response of convection to relative SST: Cloud-resolving simulations in 2D and 3D

Response of convection to relative SST: Cloud-resolving simulations in 2D and 3D 1 2 Response of convection to relative SST: Cloud-resolving simulations in 2D and 3D S. Wang, 1 and A. H. Sobel 2 -------------- Shuguang Wang, Department of Applied Physics and Applied Mathematics, Columbia

More information

A History of Modifications to SUBROUTINE CONVECT by Kerry Emanuel

A History of Modifications to SUBROUTINE CONVECT by Kerry Emanuel A History of Modifications to SUBROUTINE CONVECT by Kerry Emanuel The following represents modifications to the convection scheme as it was originally described in Emanuel, K.A., 1991, J. Atmos. Sci.,

More information

Time-stepping of the CROCO hydrostatic code and its impact on code structure (and on advection schemes)

Time-stepping of the CROCO hydrostatic code and its impact on code structure (and on advection schemes) Time-stepping of the CROCO hydrostatic code and its impact on code structure (and on advection schemes) Florian Lemarié Inria (EPI AIRSEA), Laboratoire Jean Kuntzmann, Grenoble, France General context

More information

Linear model for investigation of nonlinear NWP model accuracy. Marko Zirk, University of Tartu

Linear model for investigation of nonlinear NWP model accuracy. Marko Zirk, University of Tartu Linear model for investigation of nonlinear NWP model accuracy Marko Zirk, University of Tartu Introduction A method for finding numerical solution of non-hydrostatic linear equations of atmospheric dynamics

More information

A Proposed Test Suite for Atmospheric Model Dynamical Cores

A Proposed Test Suite for Atmospheric Model Dynamical Cores A Proposed Test Suite for Atmospheric Model Dynamical Cores Christiane Jablonowski (cjablono@umich.edu) University of Michigan, Ann Arbor PDEs on the Sphere Workshop Monterey, CA, June/26-29/2006 Motivation

More information

Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity

Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity Takamichi Iguchi 1,2 (takamichi.iguchi@nasa.gov) 1 Earth System Science Interdisciplinary

More information

Neva Pristov. LACE area leader for physics

Neva Pristov. LACE area leader for physics ALARO Physics Developments Neva Pristov LACE area leader for physics Main developments TOUCANS turbulence scheme Radiation Convection Ivan Baštak Duran, Jean-Francois Geleyn, Filip Vana Jan Mašek, Radmila

More information