Research on the HWRF Model: Intensification and Uncertainties in Model Physics Research on the HWRF Model: Intensification and Uncertainties in Model Physics.

Slides:



Advertisements
Similar presentations
Impact of cumulus parameterization on motion, structure, intensity: preliminary results Robert Fovell and Yizhe Peggy Bu University of California, Los.
Advertisements

Sensitivity of the HWRF model prediction for Hurricane Ophelia (2005) to the choice of the cloud and precipitation scheme Yuqing Wang and Qingqing Li International.
Department of Physics /Victoria Sinclair Structure and force balance of idealised cold.
UU Unitah Basin WRF Model Configuration (same as DEQ) See Alcott and Steenburgh 2013 for further details on most aspects of this numerical configuration:
Impact of environmental moisture on intensification of Hurricane Earl (2010) Longtao Wu, Hui Su, and Robert Fovell HS3 Science Meeting May 2014.
An intraseasonal moisture nudging experiment in a tropical channel version of the WRF model: The model biases and the moisture nudging scale dependencies.
Mesoscale Convective Vortices (MCVs) Chris Davis (NCAR ESSL/MMM and RAL) Stan Trier (NCAR ESSL/MMM) Boulder, Colorado 60-h Radar Composite Animation (00.
Cold Fronts and their relationship to density currents: A case study and idealised modelling experiments Victoria Sinclair University of HelsinkI David.
Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer Parameterizations SCOTT A. BRAUN AND WEI-KUO TAO PRESENTATION.
A WRF Simulation of the Genesis of Tropical Storm Eugene (2005) Associated With the ITCZ Breakdowns The UMD/NASA-GSFC Users' and Developers' Workshop,
Background Tropopause theta composites Summary Development of TPVs is greatest in the Baffin Island vicinity in Canada, with development possibly having.
Realtime Analysis of Model ICs Wallace Hogsett, NHC 1.
Hurricane forecasts with Regional NMMB: Impact of HWRF Physics Weiguo Wang and Vijay Tallapragada EMC/NCEP/NOAA, College Park, MD Mar
HWRF Model Sensitivity to Non-hydrostatic Effects Hurricane Diagnostics and Verification Workshop May 4, 2009 Katherine S. Maclay Colorado State University.
Convective-scale diagnostics Rob Rogers NOAA/AOML Hurricane Research Division.
Impact of the 4D-Var Assimilation of Airborne Doppler Radar Data on Numerical Simulations of the Genesis of Typhoon Nuri (2008) Zhan Li and Zhaoxia Pu.
Some Preliminary Modeling Results on the Upper-Level Outflow of Hurricane Sandy (2012) JungHoon Shin and Da-Lin Zhang Department of Atmospheric & Oceanic.
Tropical cyclone intensification Roger Smith Ludwig-Maximilians University of Munich Collaborators: Michael Montgomery, Naval Postgraduate School, Monterey,
Assessment of the vertical exchange of heat, moisture, and momentum above a wildland fire using observations and mesoscale simulations Joseph J. Charney.
Chris Birchfield Atmospheric Sciences, Spanish minor.
Mesoscale Modeling Review the tutorial at: –In class.
HWRF ERROR ANALYSIS T N Krishnamurti A.Thomas A. Simon Florida State University.
19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Examining the Sensitivity of.
Prediction of Atlantic Tropical Cyclones with the Advanced Hurricane WRF (AHW) Model Jimy Dudhia Wei Wang James Done Chris Davis MMM Division, NCAR Jimy.
In this study, HWRF model simulations for two events were evaluated by analyzing the mean sea level pressure, precipitation, wind fields and hydrometeors.
Jian-Wen Bao (NOAA/ESRL/PSD) Sara A. Michelson (NOAA/ESRL/PSD) S. G. Gopalakrishnan (NOAA/AOML/HRD) In Collaboration with Frank Marks (NOAA/AOML/HRD) Vijay.
Tropical cyclone intensification Roger Smith Ludwig-Maximilians University of Munich Collaborators: Michael Montgomery, Naval Postgraduate School, Monterey,
IMPACTS OF TURBULENCE ON HURRICANES (ONR-BAA ) PI: Yongsheng Chen, York University, Toronto, Ontario, Canada Co-PIs: George H. Bryan and Richard.
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Regional Modeling using MODIS SST composites Prepared.
Jian-Wen Bao Christopher W. Fairall Sara A. Michelson Laura Bianco NOAA/ESRL/Physical Sciences Division in collaboration with N. Surgi, Y. Kwon and V.
Work summarized in collaboration with: Roger Smith, Jun Zhang, S. Braun, Jason Dunion On the dynamics of secondary eyewall formation in Hurricane Edouard.
Energy Production, Frictional Dissipation, and Maximum Intensity of a Numerically Simulated Tropical Cyclone 4/ 蘇炯瑞 Wang, Y., and J. Xu, 2010: Energy.
Richard Rotunno NCAR *Based on:
Predictability and dynamics of the rapid intensification of Hurricane Edouard (2014) Erin Munsell and Fuqing Zhang (Penn State) Jason Sippel (EMC/IMSG)
How Small-Scale Turbulence Sets the Amplitude and Structure of Tropical Cyclones Kerry Emanuel PAOC.
Seasonal Modeling (NOAA) Jian-Wen Bao Sara Michelson Jim Wilczak Curtis Fleming Emily Piencziak.
Figure sec mean topography (m, shaded following scale at upper left) of the Intermountain West and adjoining regions,
Three Lectures on Tropical Cyclones Kerry Emanuel Massachusetts Institute of Technology Spring School on Fluid Mechanics of Environmental Hazards.
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:
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Tropical Cyclone Boundary Layer 4:
Munehiko Yamaguchi Typhoon Research Department, Meteorological Research Institute of the Japan Meteorological Agency 9:00 – 12: (Thr) Topic.
How Do Outer Spiral Rainband Affect Tropical Cyclone Structure and Intensity? The working hypothesis is based on the fact that the outer rainbands are.
Tropical Transition in the Eastern North Pacific: Sensitivity to Microphysics Alicia M. Bentley ATM May 2012.
An evaluation of satellite derived air-sea fluxes through use in ocean general circulation model Vijay K Agarwal, Rashmi Sharma, Neeraj Agarwal Meteorology.
Acceleration of high winds in idealised simulations of extratropical cyclones. Tim P. Slater Prof. David M. Schultz Prof. Geraint Vaughan 3 Jan 2012 UTC.
An Examination Of Interesting Properties Regarding A Physics Ensemble 2012 WRF Users’ Workshop Nick P. Bassill June 28 th, 2012.
The Hyperspectral Environmental Suite (HES) and Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental.
Numerical Simulation and Prediction of Supercell Tornadoes Ming Xue School of Meteorology and Center for Analysis and Prediction of Storms University of.
Yuqing Wang Department of Meteorology, University of Hawaii The 65 th IHC, February 28-March 3, 2011.
Predicting Hurricanes with Explicit Convection: The Advanced Hurricane-research WRF (AHW) Chris Davis NCAR Earth System Laboratory Mesoscale and Microscale.
A Subtropical Cyclonic Gyre of Midlatitude Origin John Molinari and David Vollaro.
Dynamics and predictability of the rapid intensification of Hurricane Edouard (2014) Erin Munsell Summer 2015 Group Meeting August 17 th, 2015.
Influences of Large-Scale Moist Convection on Turbulence in Clear Air (CAT) Stan Trier NCAR, Boulder Outline: 1)Observations and High Resolution Simulations.
Page 1© Crown copyright 2006 Boundary layer mechanisms in extra-tropical cyclones Bob Beare.
Rapid Intensification of Tropical Cyclones by Organized Deep Convection Chanh Q. Kieu, and Da-Lin Zhang Department of Atmospheric and Oceanic Science University.
INNER CORE STRUCTURE AND INTENSITY CHANGE IN HURRICANE ISABEL (2003) Shuyi S. Chen and Peter J. Kozich RSMAS/University of Miami J. Gamache, P. Dodge,
Microphysical-dynamical interactions in an idealized tropical cyclone simulation Stephen R. Herbener and William R. Cotton Colorado State University, Fort.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Tropical Cyclone Boundary Layer 2:
Matt Vaughan Class Project ATM 621
Sensitivity to the Representation of Microphysical Processes in Numerical Simulations during Tropical Storm Formation Penny, A. B., P. A. Harr, and J.
Yumin Moon & David S. Nolan (2014)
Water Budget of Typhoon Nari(2001)
Coupled atmosphere-ocean simulation on hurricane forecast
IMPROVING HURRICANE INTENSITY FORECASTS IN A MESOSCALE MODEL VIA MICROPHYSICAL PARAMETERIZATION METHODS By Cerese Albers & Dr. TN Krishnamurti- FSU Dept.
Convective and orographically-induced precipitation study
Bell, M. M. , M. T. Montgomery, and W. -C
Tong Zhu and Da-Lin Zhang 2006:J. Atmos. Sci.,63,
Impacts of Air-Sea Interaction on Tropical Cyclone Track and Intensity
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
Xu, H., and X. Li, 2017 J. Geophys. Res. Atmos., 122, 6004–6024
Presentation transcript:

Research on the HWRF Model: Intensification and Uncertainties in Model Physics Research on the HWRF Model: Intensification and Uncertainties in Model Physics Jian-Wen Bao NOAA/ESRL NOAA/ESRL Physical Sciences Division 28 June 2011 Jian-Wen Bao NOAA/ESRL NOAA/ESRL Physical Sciences Division 28 June 2011

1. Impact of horizontal and vertical diffusion on the intensification of an idealized vortex in the hwrf model 2. Sensitivity of tropical cyclone structure and wind-pressure relationships to physics representations in the hwrf model 3. Sensitivity of the asymptotic behavior of idealized tropical cyclone intensification to physics: ARW vs HWRF Collaborators: S. A. Michelson (NOAA/ESRL/PSD) S. G. Gopalakrishna and Franks Marks (NOAA/AMOL/HRD) Vijay Tallapragada (NOAA/NCEP/EMC) Mike Montgomery (Naval Postgraduate School) Issues under Investigation

Sensitivity of Tropical Cyclone Structure and Wind-Pressure Relationships to Physics Representations in the HWRF Model Sensitivity to: Boundary layer (BL) mixing, subgrid convection and radiation The surface drag The bulk microphysics and subgrid convection schemes Comparison of different evaluation metrics: 1.The maximum surface 10-m wind (VMAX) and minimum sea level pressure (PMIN) — operational metrics of tropical cyclone intensity 2.The azimuthally-averaged temporal and spatial structure of the tangential wind and its acceleration.

Model Experiment Setup The HWRF model is initialized with a weak axisymmetric vortex disturbance in an idealized tropical environment that is favorable for the vortex disturbance to develop into a hurricane. The initial mass and wind fields associated with the weak vortex disturbance are obtained by solving the nonlinear balance equation for the given wind distributions of the initial vortex (Wang 1995, MWR), and the prescribed background thermal sounding and winds. f-plane located at 12.5⁰N The prescribed axisymmetric vortex: — maximum surface tangential wind: 15 ms -1 — radius of surface maximum wind: 90 km Quiescent environment thermally corresponding to the Jordan sounding with a constant sea surface temperature of 29ºC Both models are run with 2 domains, a 9 km outer domain with a moving 3-km nest and 43 vertical levels

Experiment Summary EXPERIMENT NUMBER and NAME (color symbol designation in the VMAX and PMIN time series) Description of Physics Options 1 GFS/SAS/FER/NCAR (Red) GFS BL and surface scheme, SAS convective scheme on both grids, Ferrier microphysics scheme, NCAR Rapid Radiative Transfer Model longwave radiation scheme, Dudhia shortwave radiation scheme 2 MYJ/SAS/FER/NCAR (Black) MYJ BL and surface scheme, SAS convective scheme on both grids, Ferrier microphysics scheme, NCAR Rapid Radiative Transfer Model longwave radiation scheme, Dudhia shortwave radiation scheme 3 -MYJ/BMJ/FER/NCAR (Gray) MYJ BL and surface scheme, Betts-Miller-Janjic convective scheme on both grids, Ferrier microphysics scheme, NCAR Rapid Radiative Transfer Model longwave radiation scheme, Dudhia shortwave radiation scheme 4-GFS/BMJ/FER/GFD (Orange) GFS BL and surface scheme, Betts-Miller-Janjic convective scheme on both grids, Ferrier microphysics scheme, GFDL radiation scheme 5-GFS/BMJ/FER/NCAR (Pink) GFS BL and surface scheme, Betts-Miller-Janjic convective scheme on both grids, Ferrier microphysics scheme, NCAR Rapid Radiative Transfer Model longwave radiation scheme, Dudhia shortwave radiation scheme, 6-GFS/SAS/FER/NCAR/MOD-DRAG (Brown) GFS BL and surface scheme, SAS convection scheme on both grids, Ferrier microphysics scheme, NCAR Rapid Radiative Transfer Model longwave radiation scheme, Dudhia shortwave radiation scheme, realistic drag coefficient consistent with recent observations 7-GFS/SAS/WS5/GFD (Light Blue) GFS BL and surface scheme, SAS convection scheme on both grids, WRF Single-Moment 5-class microphysics scheme, GFDL radiation scheme 8-GFS/SAS/WS6/GFD (Magenta) GFS BL and surface scheme, SAS convection scheme on both grids, WRF Single-Moment 6-class microphysics scheme, GFDL radiation scheme 9 - GFS/SAS/Thom/GFD (Yellow) GFS BL and surface scheme, SAS convection scheme on both grids, WRF Thomson microphysics scheme, GFDL radiation scheme 10- GFS/SAS/FER/GFD(Green) GFS BL and surface scheme, SAS convection scheme on both grids, Ferrier microphysics scheme, GFDL radiation scheme 11-GFS/noSAS/FER/GFD (Purple) GFS BL and surface scheme, SAS convection scheme on 9-km grid, no convective scheme on 3- km grid, Ferrier microphysics scheme, GFDL radiation scheme

The left panel (a) is the minimum sea level pressure (hPa). The right (b) is the maximum surface wind speed (ms -1 ). The red lines are Experiment 1 (GFS/SAS/FER/NCAR), the black lines are Experiment 2 (MYJ/SAS/FER/NCAR), the gray lines are Experiment 3 (MYJ/BMJ/FER/NCAR), the orange lines are Experiment 4 GFS/BMJ/FER/GFD and the pink lines are Experiment 5 (GFS/BMJ/FER/NCAR). Minimum sea level pressure (hPa) versus maximum surface wind speed (ms -1 ). The red filled diamonds are Experiment 1 (GFS/SAS/FER/NCAR), the black filled circles are Experiment 2 (MYJ/SAS/FER/NCAR), the gray filled circles are Experiment 3 (MYJ/BMJ/FER/NCAR), the orange filled diamonds are Experiment 4 (GFS/BMJ/FER/GFD), the pink filled diamonds are Experiment 5 (GFS/BMJ/FER/NCAR) and the open squares are from Knaff and Zehr (2007). The open red triangles (Experiment 1, GFS/SAS/FER/NCAR) and the open black circles (Experiment 2, MYJ/SAS/FER/NCAR) are the minimum sea level pressure (hPa) versus above the surface maximum azimuthally averaged tangential wind speed.

(a)(b)(c) (d) (e) Hovmöller diagrams of the azimuthally-averaged tangential wind speed (ms -1 ) for Experiment 1 (GFS/SAS/FER/NCAR) (a), Experiment 2 (MYJ/SAS/FER/NCAR) (b), Experiment 3 (MYJ/BMJ/FER/NCAR) (c), Experiment 4 (GFS/BMJ/FER/GFD) (d) and Experiment 5 (GFS/BMJ/FER/NCAR) (e) at 1 km above the surface. The shaded and contour intervals are 5 ms -1.

(a)(b)(c) (d) (e) Azimuthally and h averaged radius-height cross sections of the tangential wind contours (in red color) superposed on top of the secondary circulation vectors, radial wind speed (black contours, ms -1 ), and the net tangential forcing (frictional effect included) in units of ms -1 h -1 (color shaded) related to the primary circulation term in equation 2 for Experiment 1 (GFS/SAS/FER/NCAR) (a), Experiment 2 (MYJ/SAS/FER/NCAR) (b), Experiment 3 (MYJ/BMJ/FER/NCAR) (c), Experiment 4 (GFS/BMJ/FER/GFD) (d), and Experiment 5 (GFS/BMJ/FER/NCAR) (e). The positive contribution towards the spin-up process is indicated by the blue end of the spectrum.

Sensitivity to the surface drag EXPERIMENT NUMBER and NAME (color symbol designation in the VMAX and PMIN time series) Description of Physics Options 6-GFS/SAS/FER/NCAR/MOD-DRAG (Brown) GFS BL and surface scheme, SAS convection scheme on both grids, Ferrier microphysics scheme, NCAR Rapid Radiative Transfer Model longwave radiation scheme, Dudhia shortwave radiation scheme, realistic drag coefficient consistent with recent observations

(a) (b) Left panel (a) is the minimum sea level pressure (hPa). The right (b) is the maximum surface wind speed (ms -1 ). The red lines are Experiment 1 (GFS/SAS/FER/NCAR) and the brown lines are Experiment 6 (GFS/SAS/FER/NCAR/MOD-DRAG). Minimum sea level pressure versus maximum surface wind speed. The red filled diamonds are Experiment 1 (GFS/SAS/FER/NCAR), the brown filled diamonds are Experiment 6 (GFS/SAS/FER/NCAR/MOD-DRAG), and the open squares are from Knaff and Zehr (2007).

Hovmöller diagrams of the azimuthally-averaged tangential wind speed at 1 km above the surface for left Experiment 1 (GFS/SAS/FER/NCAR) and right Experiment 6 (GFS/SAS/FER/NCAR/MOD-DRAG). The shaded and contour intervals are 5 ms -1.

Azimuthally and h averaged radius-height cross section of the tangential wind contours (in red color) superposed on top of the vectors of the secondary circulation, radial wind speed (black contours, ms -1 ), and the net tangential forcing (frictional effect included) in units of ms -1 h-1 (color shaded) related to the primary circulation term in equation 2 for left Experiment 1 (GFS/SAS/FER/NCAR) and right Experiment 6 (GFS/SAS/FER/NCAR/MOD- DRAG). The positive contribution towards the spin-up process is indicated by the blue end of the spectrum.

Left panel (a) is the PMIN (hPa). The right (b) is the VMAX (ms -1 ). The red lines are Experiment 1 (GFS/SAS/FER/NCAR), the blue lines are Experiment 7 (GFS/SAS/WS5/GFD), the magenta lines are Experiment 8 (GFS/SAS/WS6/GFD), the dark-yellow lines are for Experiment 9 (GFS/SAS/Thom/GFD), the green lines are for Experiment 10 (GFS/SAS/FER/GFD) and the purple lines are for Experiment 11 (GFS/noSAS/FER/GFD). (a) (b) Minimum sea level pressure versus maximum surface wind speed. The red filled diamonds are Experiment 1 (GFS/SAS/FER/NCAR), the blue filled diamonds are Experiment 7 (GFS/SAS/WS5/GFD), the magenta filled diamonds are Experiment 8 (GFS/SAS/WS6/GFD), the dark-yellow filled diamonds are for Experiment 9 (GFS/SAS/Thom/GFD), the green filled diamonds are for Experiment 10 (GFS/SAS/FER/GFD), the purple filled diamonds are for Experiment 11 (GFS/noSAS/FER/GFD), and the open squares are from Knaff and Zehr (2007).

EXPERIMENT NUMBER and NAME (color symbol designation in the VMAX and PMIN time series) Description of Physics Options 7-GFS/SAS/WS5/GFD (Light Blue) GFS BL and surface scheme, SAS convection scheme on both grids, WRF Single-Moment 5-class microphysics scheme, GFDL radiation scheme 8-GFS/SAS/WS6/GFD (Magenta) GFS BL and surface scheme, SAS convection scheme on both grids, WRF Single-Moment 6-class microphysics scheme, GFDL radiation scheme 9 - GFS/SAS/Thom/GFD (Yellow) GFS BL and surface scheme, SAS convection scheme on both grids, WRF Thomson microphysics scheme, GFDL radiation scheme 10- GFS/SAS/FER/GFD(Green) GFS BL and surface scheme, SAS convection scheme on both grids, Ferrier microphysics scheme, GFDL radiation scheme 11-GFS/noSAS/FER/GFD (Purple) GFS BL and surface scheme, SAS convection scheme on 9-km grid, no convective scheme on 3-km grid, Ferrier microphysics scheme, GFDL radiation scheme Sensitivity to the bulk microphysics and subgrid convection schemes

(a)(b)(c) (d) (e) Hovmöller diagrams of the azimuthally-averaged tangential wind speed at 1 km above the surface for Experiment 8 (GFS/SAS/WS5/GFD) (a), Experiment 9 (GFS/SAS/WS6/GFD) (b), Experiment 10 (GFS/SAS/Thom/GFD) (c), Experiment 11 (GFS/SAS/FER/GFD) (d), and Experiment 12 (GFS/noSAS/FER/GFD) (e). The shaded and contour intervals are 5 ms -1.

(a)(b)(c) (d) (e) Azimuthally and h averaged radius-height cross sections of the tangential wind contours (in red color) superposed on top of the vectors of the secondary circulation, radial wind speed (black contours, ms -1 ), and the net tangential forcing (frictional effect included) in units of ms -1 h -1 (color shaded) related to the primary circulation term in equation 2 for Experiment 7 (GFS/SAS/WS5/GFD) (a), Experiment 8 (GFS/SAS/WS6/GFD) (b), Experiment 9 (GFS/SAS/Thom/GFD) (c), Experiment 10 (GFS/SAS/FER/GFD) (d), and Experiment 11 (GFS/noSAS/FER/GFD) (e). The positive contribution towards the spin-up process is indicated by the blue end of the spectrum.

(a) (b) (c) (d)(e) The tangentially and h averaged radius-height cross section of, relative humidity (shaded colors), θ_e (black contours) and moisture fluxes (red contours) for Experiment 7 (GFS/SAS/WS5/GFD) (a), Experiment 8 (GFS/SAS/WS6/GFD) (b), Experiment 9 (GFS/SAS/Thom/GFD) (c), Experiment 10 (GFS/SAS/FER/GFD) (d), and Experiment 11 (GFS/noSAS/FER/GFD) (e).

The tangentially and h averaged radius-height cross section of vertical velocity (ms -1 ) for Experiment 7 (GFS/SAS/WS5/GFD) (a), Experiment 8 (GFS/SAS/WS6/GFD) (b), Experiment 9 (GFS/SAS/Thom/GFD) (c), Experiment 10 (GFS/SAS/FER/GFD) (d), and Experiment 11 (GFS/noSAS/FER/GFD) (e). (a) (b) (c) (d)(e)

Vertical Velocity at 400 mb averaged over hours for Experiment 7 (GFS/SAS/WS5/GFD) (a), Experiment 8 (GFS/SAS/WS6/GFD) (b), Experiment 9 (GFS/SAS/Thom/GFD) (c), Experiment 10 (GFS/SAS/FER/GFD) (d), and Experiment 11 (GFS/noSAS/FER/GFD) (e). (a) (b) (c) (d)(e) Red - vertical velocity > 0, shaded > 1 ms -1 Blue- vertical velocity < 0

Accumulated 12- hour precipitation ending at 72 hours for Experiment 7 (GFS/SAS/WS5/GFD) (a), Experiment 8 (GFS/SAS/WS6/GFD) (b), Experiment 9 (GFS/SAS/Thom/GFD) (c), Experiment 10 (GFS/SAS/FER/GFD) (d), and Experiment 11 (GFS/noSAS/FER/GFD) (e). (a) (b) (c) (d) (e)

Main Conclusions 1. The differences measured in terms the VMAX and PMIN, along with the corresponding PWR, are not as revealing as the structural metrics in terms of azimuthally averaged tangential winds and the secondary circulation. 2. The different boundary layer physics parameterization schemes for vertical sub-grid turbulence mixing lead to differences not only in the intensity evolution in terms of the VMAX and PMIN, but also in the structural characteristics of the simulated tropical cyclone. 3. The surface drag coefficient is a key parameter that controls the PWR due to its control over the surface friction that is critical to the agradient force near the surface. 4. Different microphysics and subgrid convection parameterization schemes, due to different realization of vertical diabatic heating distribution, lead to significant variations in the vortex structure.

Questions?