Inversion Effects on Lee-wave Rotors Simon Vosper, Stephen Mobbs, Ralph Burton Institute for...

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Transcript of Inversion Effects on Lee-wave Rotors Simon Vosper, Stephen Mobbs, Ralph Burton Institute for...

Inversion Effects on Lee-wave Rotors

Simon Vosper, Stephen Mobbs, Ralph Burton

Institute for Atmospheric ScienceUniversity of Leeds, UK

UK Met Office BLASIUS model Dry Boussinesq equations of motion using a first-order

(mixing-length) turbulence closure scheme Free-slip and no-slip (via a log-law formulation) lower-

boundary conditions 2 dimensional bell-shaped ridge Upstream wind independent of height, apart from within the

boundary layer in the no-slip case Upstream stratification neutral in a layer immediately above

the ground, capped by a sharp temperature inversion Above inversion buoyancy frequency independent of height

(N=0.01 s-1) Range of inversion strengths (measured by the difference

in potential temperature across the inversion Δθ) and inversion heights, z

i

Numerical Model

No slip case. Horizontal flow speed shaded, potential temperature contoured at 1K intervals. F

i=0.6, z

i=800 m, H=400 m

Closed Rotors

No slip case. Horizontal flow speed shaded, potential temperature contoured at 1K intervals. F

i=0.4, z

i=800 m, H=400 m

Stationary Hydraulic Jump

No Slip Case Closed rotors Stationary hydraulic jumps

Free Slip Case No closed rotors Stationary hydraulic jumps

Regime Diagram – No slip Case

Solid line – critical Fi trapped lee waves (linear theory)

10 min wind vectors, 9 February 2001, East Falkland

High degree of spatial variability during rotor streaming Suggests the use of wind variances in rotor diagnostics Calculate instantaneous spatial standard deviation of

wind at stations downwind of orography σ given by

Rotor diagnostics σ and σU Energy argument suggests that closed rotors can occur if

Analysis of Observations of Rotor Streaming

Time series of rotor diagnostics

Regime Diagram – Observations

Solid line - R=1

Mean Speed-up and Rotors

Uup

is wind speed upstream of mountains U is mean wind speed over 8 stations downwind of

mountains

Regime Diagram – Observations

Idealised modelling demonstrates connection between rotor streaming and trapped lee waves on inversion

Needs no-slip boundary condition

Correlation between inversions observed downwind of mountains and rotors is low

Rotor activity (spatial variability of wind) directly proportional to mean speed-up