SIMULATION OF X-BAND RADAR FOR THE ASSESMENT OF...
Transcript of SIMULATION OF X-BAND RADAR FOR THE ASSESMENT OF...
SIMULATION OF X-BAND RADAR FOR THE ASSESMENT OF EDDY DISSIPATION RATE
ON A CONVECTIVE BOUNDARY LAYER Pereira, C. (1), Vanhoenacker-Janvier, D.(1), Barbaresco F. (2) ,
1) ICTEAM, UCL, Louvain-la-Neuve, Belgium, [email protected], [email protected] (2) Surface Radar Domain,Technical directorate,Thales Air system SA,
France, [email protected]
SESAR project
Outline
• Introduction
• Background
• Detection of turbulences
• Example of results
• Conclusion and Perspective
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INTRODUCTION
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Introduction • Problematic:
– Real-time monitoring of wind hazards. – Design of sensors for the assessment of wind shear
(Radar, Lidar). • Use of X-Band Radar for air turbulence
monitoring . • Radar simulation for support of measurement
campaigns: – Electromagnetic calculation. – Atmospheric data. – Focus on clear air turbulence in the boundary layer.
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BACKGROUND
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Wake vortices detection
• SESAR SESAR P12.2.2: Simulations of Aircraft Wake Vortices detection by X-band Radar.
• Fluid mechanics 2D model: simulates the movement and evolution of atmosphere parameters (air pressure, air temperature and humidity) in presence of wake vortices.
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Procedure: vortex age detection
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Electromagnetic modeling: computes the power backscattered to the radar by the wake vortices, evolving in function of dielectric permittivity.
dx Xmax
Volume
Slice modulation
Slice
y
z
𝑟𝑟 = distance vector (x, y, z) between the receiver and the volume element [m]; 𝜀𝜀𝑟𝑟 𝑦𝑦,𝑧𝑧 = dielectric permittivity of the atmosphere (evolving in y and z in our case); 𝑓𝑓 𝑥𝑥 = modulation function used to extend the slice in the x dimension (takes into account the antenna radiation pattern); Calculation of Radar Cross Section allows to distinguish Radar cells with and without
presence of vortices.
𝐼𝐼𝐼𝐼𝐼𝐼𝑝𝑝 = � 𝜀𝜀𝑟𝑟 𝑦𝑦,𝑧𝑧 − 1 𝑓𝑓 𝑥𝑥 𝑒𝑒−𝑖𝑖𝑖𝑖𝑖.𝑟𝑟 𝑑𝑑𝑟𝑟𝑟𝑟/𝑖
−𝑟𝑟/𝑖
DETECTION OF TURBULENCES
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Context
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FP7 UFO (Ultra Fast wind sensOrs) Project: (http://www.ufo-wind-sensors.eu) • Goal WP2000:
• Deliver a X-band Radar simulator. • Use a fluid mechanics model to generate representative atmospheric
data.
• Use of a atmospheric simulator for the convective boundary layer: • Large Eddy Simulation.
• Pressure • Temperature • Humidity • Wind
• Parameters in 3D + Time evolution
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Turbulent spectrum
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Turbulent spectrum Input range: energy is introduced into the turbulence (ex: wind shear). Inertial range: energy decreases as eddies size reduces progressively. Dissipation range: energy is converted into heat and absorbed at molecular level.
Φ𝑛𝑛 𝜅𝜅 = 0.033 𝐶𝐶𝑛𝑛𝑖 𝜅𝜅𝑖 + 𝜅𝜅𝐿𝐿𝑖 −11/6𝑒𝑒−𝜅𝜅𝜅𝜅𝑚𝑚
2
– 𝜅𝜅 : wave number [rad/m] – 𝜅𝜅𝐿𝐿: outer wave number – 𝜅𝜅𝑚𝑚: inner wave number
𝚽𝚽𝐧𝐧 𝛋𝛋 = 𝟎𝟎.𝟎𝟎𝟎𝟎𝟎𝟎 𝐂𝐂𝐧𝐧𝟐𝟐𝛋𝛋−𝟏𝟏𝟏𝟏/𝟎𝟎
Position of our study: Inertial range.
Atmospheric simulation
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The turbulence intensity is evaluated by 𝐶𝐶𝑛𝑛𝑖 :
𝐶𝐶𝑛𝑛𝑖 = 𝐼𝐼(𝑟𝑟+�) − 𝐼𝐼(𝑟𝑟)
𝑖
δ 𝑖/3 [𝑚𝑚−𝑖/3]
With: 𝐼𝐼 : is the refractive index 𝑟𝑟 : is the spatial vector position [m] 𝛿𝛿: is the spatial separation [m] <>: represent is average operator
Pressure
Temperature
Humidity
Refractivity
Computes the power backscattered to the radar by use of refractive index structure constant 𝐶𝐶𝑛𝑛𝑖 [1]. [1] Muschinski, A., P.P. Sullivan, D.B. Wuertz, R.J. Hill, S.A. Cohn, D.H. Lenschow, and R.J. Doviak, 1999: First synthesis of wind-profiler signals on the basis of large-eddy simulation data. Radio Science, 34, 1437-1459
EXAMPLE OF RESULTS
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Context
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• Atmosphere data: – Generated by LES model from
Institut franco-allemand de recherches de Saint-Louis
– Environment: Boundary Layer – Place: Virtual flat ground – Weather: Summer day, no cloud, no
rain, no mean wind – Duration: 1 hour with time step of 20
s – Dimension: 6 km horizontally and 1.5
km in height – Spatial resolution: 30 m
Context
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• Turbulences: • Height: 1100 m • Width: 350 m • Significant turbulence
intensity (0 < 𝐶𝐶𝑛𝑛𝑖 < 2 10−11)
Configuration radar
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Scenario: • Elevation angle: 90 deg • Frequency: 9.3 GHz • Pulse length: 40 m • Fixed position • Radar Cross section in
function of altitude and atmosphere time evolution.
Turbulent layer
LES volume
6 km
1.5 km
Radiation Pattern
Radar Cross Section
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Detection: • Turbulence detected around
1000 m of altitude. • Dynamic ~ 20dB • RCS intensity at turbulent
level is regular.
Radar Cross Section
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Turbulence seen from Radar: • Cn² on radar radiation pattern. • Issues with time sampling. • Cause problems on analysis for EDR
retrieval. • + 20 Gb of atmospheric data..
CONCLUSION AND PERSPECTIVE
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Conclusion • Conclusion:
– An early results of X-band simulation using atmospheric data is presented for the turbulence detection in the boundary layer.
• Combination of a Large Eddy Simulation data with an electromagnetic calculation. • Evaluation of Radar Cross Section versus time. • Use of refractive index structure constant 𝐶𝐶𝑛𝑛𝑖 for Radar Cross Section.
– The atmospheric turbulence influence is visible on the Radar Cross Section along
the propagation path. – Issues with time resolution: apparition of jumps due to fast evolution of
atmosphere. – Use of full time resolution to overcome this drawback (1s) in smaller areas.
• Perspective: – Extend the electromagnetic model to other parameters as:
• Doppler shifts; • Eddy Dissipation Rate.
– Use of LES from UCL to investigate the Radar sensitivity to rain.
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THANK YOU FOR YOUR ATTENTION
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