19 December 2012 1 ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Examining the Sensitivity of.

Slides:



Advertisements
Similar presentations
What’s quasi-equilibrium all about?
Advertisements

Section 2: The Planetary Boundary Layer
Department of Physics /Victoria Sinclair Structure and force balance of idealised cold.
Mesoscale Convective Vortices (MCVs) Chris Davis (NCAR ESSL/MMM and RAL) Stan Trier (NCAR ESSL/MMM) Boulder, Colorado 60-h Radar Composite Animation (00.
Günther Zängl, DWD1 Improvements for idealized simulations with the COSMO model Günther Zängl Deutscher Wetterdienst, Offenbach, Germany.
Krakow - September, 15th 2008COSMO WG 2 - Runge Kutta1 Further Developments of the Runge-Kutta Time Integration Scheme Investigation of Convergence (task.
UNCLASSIFIED 3.5: Eddy Seeding for Improved WRF- LES Simulations Using Realistic Lateral Boundary Conditions Brian Gaudet, Aijun Deng, David Stauffer,
Characteristics of Isolated Convective Storms
Weismann (1992) Weisman, M. L., 1992: The role of convectively generated rear- inflow jets in the evolution of long-lived mesoconvective systems. J. Atmos.
ASSIMILATION of RADAR DATA at CONVECTIVE SCALES with the EnKF: PERFECT-MODEL EXPERIMENTS USING WRF / DART Altuğ Aksoy National Center for Atmospheric Research.
Page 1© Crown copyright 2005 RF01/RF02: LES sensitivity studies Adrian Lock and Eoin Whelan.
Convective Weather Thunderstorms Lightning Tornadoes… …and more.
Atmospheric Analysis Lecture 2.
The General Circulation of the Atmosphere Tapio Schneider.
ON THE RESPONSE OF HAILSTORMS TO ENHANCED CCN CONCENTRATIONS William R. Cotton Department of Atmospheric Science, Colorado State University.
© University of Reading 2007www.reading.ac.uk RMetS Student Conference, Manchester September 2008 Boundary layer ventilation by mid-latitude cyclones Victoria.
Horizontal Convective Rolls MPO 551 Paper Presentation Dan Stern Horizontal Convective Rolls : Determining the Environmental Conditions Supporting their.
Towards Developing a “Predictive” Hurricane Model or the “Fine-Tuning” of Model Parameters via a Recursive Least Squares Procedure Goal: Minimize numerical.
Mesoscale Modeling Review the tutorial at: –In class.
– Equations / variables – Vertical coordinate – Terrain representation – Grid staggering – Time integration scheme – Advection scheme – Boundary conditions.
Atmospheric Modeling in an Arctic System Model John J. Cassano Cooperative Institute for Research in Environmental Sciences and Department of Atmospheric.
Russ Bullock 11 th Annual CMAS Conference October 17, 2012 Development of Methodology to Downscale Global Climate Fields to 12km Resolution.
– Equations / variables – Vertical coordinate – Terrain representation – Grid staggering – Time integration scheme – Advection scheme – Boundary conditions.
Cumulus Clouds. What goes on inside a cumulus cloud?
Simulating Supercell Thunderstorms in a Horizontally-Heterogeneous Convective Boundary Layer Christopher Nowotarski, Paul Markowski, Yvette Richardson.
Rossby Wave Two-layer model with rigid lid η=0, p s ≠0 The pressures for the upper and lower layers are The perturbations are 
Case Study Example 29 August 2008 From the Cloud Radar Perspective 1)Low-level mixed- phase stratocumulus (ice falling from liquid cloud layer) 2)Brief.
IMPACTS OF TURBULENCE ON HURRICANES (ONR-BAA ) PI: Yongsheng Chen, York University, Toronto, Ontario, Canada Co-PIs: George H. Bryan and Richard.
WRF exercise 1 Kessler μ-physics scheme vs Thompson μ-physics scheme Isaac Hankes Joseph Ching.
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
The three-dimensional structure of convective storms Robin Hogan John Nicol Robert Plant Peter Clark Kirsty Hanley Carol Halliwell Humphrey Lean Thorwald.
Richard Rotunno NCAR *Based on:
Kinematics of Super Tuesday Storms Todd Murphy and Kevin Knupp University of Alabama in Huntsville.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998).
The Linear and Non-linear Evolution Mechanism of Mesoscale Vortex Disturbances in Winter Over Western Japan Sea Yasumitsu MAEJIMA and Keita IGA (Ocean.
Dual-Aircraft Investigation of the inner Core of Hurricane Norbert. Part Ⅲ : Water Budget Gamache, J. F., R. A. Houze, Jr., and F. D. Marks, Jr., 1993:
Numerical simulations of inertia-gravity waves and hydrostatic mountain waves using EULAG model Bogdan Rosa, Marcin Kurowski, Zbigniew Piotrowski and Michał.
Possible Aerosol Effects on Lightning Activity and Structure of Hurricanes Khain, A., N. Cohen, B. Lynn, and A. Pokrovsky, 2008: Possible aerosol effects.
Research on the HWRF Model: Intensification and Uncertainties in Model Physics Research on the HWRF Model: Intensification and Uncertainties in Model Physics.
Matthias Raschendorfer DWD Recent extensions of the COSMO TKE scheme related to the interaction with non turbulent scales COSMO Offenbach 2009 Matthias.
Chapter 5 - PBL MT 454 Material Based on Chapter 5 The Planetary Boundary Layer.
Georg A. Grell (NOAA / ESRL/GSD) and Saulo R. Freitas (INPE/CPTEC) A scale and aerosol aware stochastic convective parameterization for weather and air.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
Christopher Nowotarski, Paul Markowski, Yvette Richardson
10 th COSMO General Meeting, Krakow, September 2008 Recent work on pressure bias problem Lucio TORRISI Italian Met. Service CNMCA – Pratica di Mare.
Modelling and observations of droplet growth in clouds A Coals 1, A M Blyth 1, J-L Brenguier 2, A M Gadian 1 and W W Grabowski 3 Understanding the detailed.
1 Reformulation of the LM fast- waves equation part including a radiative upper boundary condition Almut Gassmann and Hans-Joachim Herzog (Meteorological.
Interannual to decadal variability of circulation in the northern Japan/East Sea, Dmitry Stepanov 1, Victoriia Stepanova 1 and Anatoly Gusev.
Developing General Circulation Models for Hot Jupiters
Page 1© Crown copyright 2006 Boundary layer mechanisms in extra-tropical cyclones Bob Beare.
ARPS( Advanced Regional Prediction System ) Version Center for Analysis and Prediction of Storms (CAPS), Oklahoma University tridimensional compressible.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Status of the COSMO-1 configuration at MeteoSwiss Guy.
Background – Building their Case “continental” – polluted, aerosol laden “maritime” – clean, pristine Polluted concentrations are 1-2 orders of magnitude.
Cumulus Clouds. Instabilities Resulting in Vertical Overturning 1.Thermal Instability (Assuming uniform vertical pressure gradient) a) Static (Parcel.
T.Nasuno, H.Tomita, M.Satoh, S. Iga, and H.Miura Frontier Research Center for Global Change WMO International Cloud Modeling Workshop July 12-16, 2004,
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.
Microphysical-dynamical interactions in an idealized tropical cyclone simulation Stephen R. Herbener and William R. Cotton Colorado State University, Fort.
Impacts of Vertical Momentum Mixing in an Arctic Ocean Model Youyu Lu 1, Greg Holloway 2, Ji Lei 1 1 Bedford Institute of Oceanography 2 Institute of Ocean.
Development of the two-equation second-order turbulence-convection model (dry version): analytical formulation, single-column numerical results, and.
Characteristics of Isolated Convective Storms
Hurricane Vortex X L Converging Spin up Diverging Spin down Ekman
Ben Green Group meeting, 9/13/2013
Mark A. Bourassa and Qi Shi
Thermodynamic Diagrams and Severe Weather
Sensitivity of WRF microphysics to aerosol concentration
Peter Lean1 Suzanne Gray1 Peter Clark2
A CASE STUDY OF GRAVITY WAVE GENERATION BY HECTOR CONVECTION
William Flamholtz, Brian Tang, and Lance Bosart
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
Presentation transcript:

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Examining the Sensitivity of an Idealized Model to Changes in the Initial Potential Temperature Perturbation Chip Helms

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius The Idealized Model: CM1 Created by George Bryan (NCAR) 3D, non-hydrostatic, non-linear, cloud-resolving, idealized model –No data assimilation –Uses a horizontally constant field for the base state –Adds perturbations to base state e.g. warm bubble, cold blob, forced convergence Benefits of using CM1 –Conserves mass and energy better than other modern cloud models –Faster and uses less memory than other models for idealized studies –Very flexible, can be used for a large variety of studies

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Goal Qualitatively examine CM1 sensitivity to: –Initial maximum magnitude of θ' –Initial horizontal warm bubble radius Potential implications of study: –Sensitivity of cloud-resolving models to temperature anomalies e.g. magnitude and extent of an urban heat island

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Methodology Two sets of runs to test sensitivities

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Model Settings

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Sensitivity to magnitude of θ' Composite Reflectivity Cell split occurs earlier as θ' increases

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Sensitivity to Warm Bubble Radius Cell splitting is related to the interaction between vorticity and updrafts Cell split occurs earlier as radius increases Look at updraft strength evolution

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius 0.5 K Delay in reaching peak updraft strength is non- linear function of θ' 1.0 K1.5 K2.0 K

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Relatively low sensitivity at 7 km radius and above Relatively high sensitivity at 6 km radius and below Model Dispersion 2-6Δx  2-6 km radii

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Conclusions As θ' or warm bubble radius increases, storm cell splits earlier and reaches peak updraft strength earlier –More sensitive to θ' than radius Small warm bubble radius runs have resolution and dispersion issues –Impacts 5 km radius most –Very little sensitivity at or above 7 km –Suggests sensitivity is due to model dispersion

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Questions

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Peak Updraft Limit Function of CAPE CAPE = 1946  w max = 62 m/s Actual < 55 m/s Difference due to assumptions of CAPE

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Initial Background Conditions Hodograph corresponds to these levels

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Hodograph Refresher Trace of wind vector direction (azimuth) and magnitude (radius) Straight hodographs suggest cells will split Veering (backing) hodographs suggest right (left) cell will be dominant

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Model Settings - Continued Boundary conditions: –Open-radiative lateral boundary conditions –Zero-flux top/bottom boundary conditions Not included in these runs: –Atmospheric radiation –Surface drag –Surface fluxes

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Sensitivity to magnitude of θ' bfds

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Outlying Model Runs θ' = 0.5K lags behind other runs Radius = 5 km lags significantly behind other runs –Possibly due to turbulent mixing having a greater impact on tight gradients smaller size of anomaly would be diffused faster –Could also be due to dampening near the 2Δx scale (recall Δx = 2 km)

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Detailed model settings 5 th order horizontal/vertical advection schemes Negative moisture is corrected by taking moisture from adjacent grid cells No additional artificial diffusion beyond subgrid turbulence scheme Sixth order diffusion scheme (coefficient = 0.040) TKE subgrid turbulence scheme Zero flux boundary condition for vertical diffusion of winds/scalars at top/bottom of domain Uses Rayleigh damping at upper levels (e-fold time = 1/300, applied above 14km), but not near horizontal boundaries Uses Klemp-Wilhelmson time-splitting, vertically implicit pressure solver (as in MM5, ARPS, WRF), coeff for divergence damper = 0.10, slight foreward-in-time bias used for vertically implicit acoustic solver (alpha = 0.60) Moisture scheme: Morrison double-moment scheme –Hail is used for large ice category –cloud droplet concentration: 250 cm^-3 (marine=100,continental=300) No Coriolis force Includes dissipative heating No energy fallout term Open-radiative lateral boundary scheme: Durran-Klemp (1983) formulation Initial base-state sounding: Weisman-Klemp analytic sounding Initial base-state wind profile: RKW-type profile Initial pressure perturbation is zero everywhere

19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Sensitivity to magnitude of θ' Composite Reflectivity Cell split occurs earlier as θ' increases Cell splitting is related to the interaction between vorticity and updrafts