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The Tropical Cyclone Boundary Layer 2: Dynamics. www.cawcr.gov.au. Jeff Kepert Head, High Impact Weather Research Oct 2013. Turbulence time scales are short (< 1 hour) Cyclone evolves slowly (~ 10 hours to days) Assume that boundary layer flow in tropical cyclones is the response to - PowerPoint PPT Presentation
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The Centre for Australian Weather and Climate ResearchA partnership between CSIRO and the Bureau of Meteorology
The Tropical Cyclone Boundary Layer2: Dynamics
Jeff Kepert
Head, High Impact Weather Research
Oct 2013
www.cawcr.gov.au
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• Turbulence time scales are short (< 1 hour)• Cyclone evolves slowly (~ 10 hours to days)• Assume that boundary layer flow in tropical cyclones is the response to
• Conditions above the boundary layer (gradient wind, stability structure)
• Surface conditions (roughness, fluxes)
• One side of two-way interaction• Approach successful for marine boundary layer theory
• except for strong horizontal advection
• needs modification over land where diurnal effects are strong
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Theoretical framework
BL affects the TC:• distribution of updraft• thermodynamic properties of updraft• dynamic properties of updraft
TC affects the BL:• distribution of gradient wind / pressure• large-scale divergence asymmetry• turbulent fluxes through top• convective downdrafts
Ignore Keep (some of)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Types of models
• Full nonlinear equations, asymmetric (Kepert and Wang 2001)• Linearised equations, asymmetric (Rosenthal 1962, Kepert 2001)• Depth-averaged equations, nonlinear, asymmetric (Shapiro 1983,
Smith 2003, Smith and Vogl 2008)• Depth-averaged equations, nonlinear, symmetric (Smith 2003, Smith
and Vogl 2008)• Depth-averaged equations, linear, symmetric (Ooyama 1969, Emanuel
1986)• Prescribed vertical structure, symmetric (Smith 1968, Kuo 1971, Kepert
2010)• One-dimensional (Moss and Rosenthal 1975, Powell 1980)
• Most of these models study the response to an imposed, steady, tropical cyclone-like pressure field.
• See Kepert (2010, QJRMS) for additional references.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Angular momentum
axisy
mm
etric
axisy
mm
etric
invisc
id
Absolute angular momentum is conserved for inviscid flow
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
The full BL model
• Solves the thermodynamic and momentum budget equations over a domain that is hundreds of km across and a few km deep
• Upper boundary conditions represent all the effects of the TC on the BL
• Prescribed pressure / gradient wind
• Storm motion
• Convection
• Turbulent transfer
• Asymmetries (including environmental)
• Lower boundary condition has sophisticated air-sea interaction, etc• Includes suitable turbulence closure, other parameterisations• Model described in Kepert and Wang (2001, JAS) and Kepert (2012,
MWR)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Symmetric Structure
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Symmetric structure
Radial
Azimuthal
Vertical
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Comparison to observations
Obs in H. Isabel (Bell 2010) Typical model run
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Flow summary diagram
vgr
104ζ
100w
-u10
v10
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Supergradient flow
• fig
Black contours: vShading: v – vgr, zero contour whiteVectors u-w
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Supergradient flow
• Inflow produces an azimuthal acceleration (by conservation of angular momentum)
• Supergradient flow implies that there is an outwards acceleration • Centrifugal force (outwards) + Coriolis (outwards) > pressure gradient
(inwards)
• The jet maximum occurs within the inflow layer
• What maintains the inflow in the presence of this outwards acceleration?
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
u
gradient windresidual
friction
verticaladvection
radial advection
v
angularmomentum advection
friction
verticaladvection
Contours: 0, +/-{1,2,3…128}*1e-4 m s-2
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Supergradient flow
• Inflow produces an azimuthal acceleration (by conservation of angular momentum)
• Supergradient flow implies that there is an outwards acceleration • Centrifugal force (outwards) > Coriolis (inwards) + pressure gradient
(inwards)
• The jet maximum occurs within the inflow layer
• What maintains the inflow in the presence of this outwards acceleration?
• Diffusion and advection of inflow from below, plus self-advection of inflow (less important)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Radial wind Azimuthal wind
Inside RMW
Outside RMW
Same above BL
Large Variation in Nearby Wind Profiles
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Hurricane Guillermo (1997)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Radial Flow Azimuthal Flow
Strongest winds in right forward quadrant
Strongest inflow to right
5 m/s
Near-Surface Earth-Relative Flow
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Surface winds
Powell (1982, MWR)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Asymmetries (earth-relative)
Total flow
Asymmetric
Wavenumber-1
Radial (10 m) Azimuthal (10 m) Vertical (400 m)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Asymmetries (storm-relative)
Total flow
Asymmetric
Wavenumber-1
Radial (10 m) Azimuthal (10 m) Vertical (400 m)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
5 m/s• Surface wind factor is 0.6 to 0.8 in
outer part of storm.
• It increases towards the centre and is 0.8 to 1.0 near the RMW.
• It is larger on the left than on the right (in the NH).
Surface Wind Reduction Factor -Ratio of surface wind speed to gradient wind
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• Objective analysis, observations plotted as percentage, black ring shows RMW.
• No shading => not enough data for analysis.
|V50| / |V1500|
• Largest values (~1) in left eye-wall.
• Smallest values to right.
• Secondary max associated with outer rainband.
|V50| / |V2500|
H. Georges: Observed Surface Wind Factor
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• Track of Andrew at landfall over Miami in 1992, with positions of surface wind observations for which co-located aircraft data (at altitude ~ 3 km) were available.
Hurricane Andrew
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• From tabulated aircraft-surface wind speed comparison in Powell and Houston (Weather & Forecasting, 1996)
Hurricane Andrew
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Hurricane Mitch (1998)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• Convection biased towards left rear of slowly moving storm.
• Data courtesy of NOAA/HRD
Hurricane Mitch
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Hurricane Mitch - Comparison of gradient and observed winds
GPS dropsonde data from NOAA/HRD
• Pressure profiles were fitted to observations at 100, 200 … 3000 m (left).
• Black = Holland• Red = Willoughby
• Gradient wind compared to observed storm-relative azimuthal flow (right)
• Super-gradient near eye-wall from about 500 m to 2 km.
100 m
3 km
1.5 km
500 m
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• Best track from NOAA/NHC
Hurricane Georges
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Hurricane Georges
• From NOAA/NHC reconnaissance aircraft.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• Data from NOAA/HRD
H. Georges – Observed eyewall wind profiles
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
Georges : Observations and model wind speed
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology
• Nonlinear model predicts• Supergradient flow in upper
boundary layer• Inflow layer becomes shallower
towards centre• Surface wind factor increases
towards centre, higher on left• Strongest surface winds in right
front quadrant• Wind profile variation between
storms
• Observational evidence for all of this
Conclusions