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Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research Foundation, 2009

Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

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Page 1: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Working Group on Space-Based Lidar Winds

Destin, Florida

February 3, 2010

Tom Apedaile

Bill Bradford

Alan Marchant

Danny Scholes

Tom Wilkerson

™ USU Research Foundation, 2009

Page 2: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

ValidWind capabilities:• horizontal range 2km

• altitude range 1km

• velocity accuracy 1% at all wind speeds

• direction accuracy 1º for v > 1m/s

• profile resolution 20m

• profiling rate 5 – 10 min

• small balloon tracer- 11” He-filled latex

• retroreflector tape

• laser rangefinder- built-in inclinometer

- integrated compass

- bluetooth data link

• 3D balloon trajectory

• trajectory analysis S/W

Page 3: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

The ValidWind Concept

• Applications for Local Wind Profiling

• Intrinsic Accuracy and Aerodynamics

• Data Processing

• Validation Campaigns

• System Improvements

Page 4: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Aug 19

Aug 20

• proposed wind turbine site at the mouth of Logan canyon

• supplementary power for USU campus

• exploit canyon drainage wind• campaign results:

- nocturnal jet develops from the bottom up, then decays coherently

- ideal turbine height ~ 100m (unobtrusive)

- jet duration 11 hours (winter evaluation needed)

time of day (MDT)

Page 5: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

-200 0 200 400 600 800 1000 1200 1400-200

-100

0

100

200

300

400

horizontal distance (m)

alti

tud

e w

.r.t

. se

nso

r (m

)

v > 7 m/s

v < 7 m/s

leeward terrain

• wind field cross-section projected to plane 52 from North (the prevailing wind direction on 9/19/09)

• strong updraft at the ridgeline transitions to a strong leeward downdraft• horizontal velocity steady at 7.8 ± 1.3 m/s• vertical flow shifts dramatically from +1.6 to -3.5 m/s• preferred turbine location may be slightly leeward

wind vector field constructed from multiple balloon trajectorieswind vector field constructed from multiple balloon trajectories

Clarkston ridge, West of Logan9/19/09

NE

Page 6: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Danish Flats campaign.

ValidWind profiling was performed over or near the processing facility.ValidWind profiling was performed over or near the processing facility.

Air-quality campaign at Danish Flats treatment facility, 10/22-26/09

• ValidWind used to monitor wind profiles.

• Wind data coordinated with other instruments to assess fluxes.

• Wind data Balloon flights coordinated to provide profiles over the facility.

• Good agreement with a 15m tower.

• Comparison w/ Remtech sodar.- average speed and direction ok

- sodar yields poor profile accuracy

Page 7: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Jimsphere• Metalized balloon, tracked

by radar.• Intentionally roughened to

minimize “lift instabilities.”• “Standard for upper level

wind measurement.”

PIBAL – Pilot Balloon• First described ~1872.

• Developed to check upper level winds before manned balloon flights.

• Passive balloon.

• Direction measured by theodolite.

• Range based on a typical rate of ascent.

Rawinsonde• Weather balloon with

telemetry.

• Trajectory traced by GPS.

• Flights may last hours and extend above the troposphere.

All of these balloons have limited advection accuracy.All of these balloons have limited advection accuracy.

Page 8: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Balloon motion relative to the wind.

CD, Re, terminal velocity

Lift-induced perturbations.

Transient slip.

Page 9: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

air

air DU

Re

Aerodynamic properties scale with Reynolds number:

where U = velocity (rate of rise) and D = diameter.

For ValidWind, D 13”, Vz ~ 2 m/s, Re ~ 44,000.

For weather balloons, D 2m, Vz ~ 7 m/s, Re ~ 900,000.

The drag coefficient is a function of Re defined by:22

8DUCF airDdrag

subcritical flow

supercritical flow

transition from laminar to turbulent boundary layer

CD = 0.4 – 0.5 for all Re of interestCD = 0.4 – 0.5 for all Re of interest

Page 10: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Terminal rate of rise is reached when the drag force cancels the loft:

or

For the nominal ValidWind parameters, Vz = 2.0 m/s.

Observation:

• Loss of He reduces the loft and the expected Vz. (Latex is leaky.)

• Up/down drafts contribute variability.

• The results are consistent with the spherical balloon model.

2/1

2

8V

DCD

z

DF

trajectory-averaged rate of risetrajectory-averaged rate of rise

Page 11: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

“Lift” is an aerodynamic force normal to motion through the fluid.

The lift coefficient is analogous to the drag coefficient:

Experiments and simulation show CL fluctuating with an amplitude 0.05 – 0.1 for subcritical flow. Fluctuations in CD are much smaller.

The typical fluctuation frequency is with a Strouhal number S ~ 0.1 – 0.2. For ValidWind, the fluctuation frequency is 0.5 – 1 Hz.

Trajectory perturbations are estimated by integrating the equation of motion:

where m’ is the balloon inertial mass plus the aerodynamic “added mass.”

For ValidWind, with worst-case values of CL and S, the rms velocity perturbation is V < 0.2 m/s. This is strongly damped by trajectory averaging.

22

8DUCF airL

DUSfL /

)2sin(2

x2

tfm

AVC L

zL

For super-critical flow, CL is somewhat larger. More importantly, CL develops significant power at low frequencies.

mS

DVCV zL

16

3

Page 12: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

How does the balloon respond to a large velocity offset?• V with respect to the vertical terminal velocity

• balloon launched, starting from rest

• balloon passes through an abrupt sheer layer

Equation of motion:• ignoring perturbations due to lift and turbulence

• co-moving coordinate system

Solution for transverse motion:

where atan(V/Vz) and

Transient decay is approximately exponential with a time constant of order 1s.

For V = 2 m/s, total slip is < 1m.

zu8

a2

mm

DuCD

te )2/tan()2/tan( 0

m

DVC zD

8

2

It’s very hard to throw a balloon.It’s very hard to throw a balloon.

Page 13: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Raw Data collected by MatLab scriptRaw Data collected by MatLab script

compass inclinometer rangefinder timetagflight resetpre-flight trial

dust

Parse Data remove false readingsParse Data remove false readings

. . . e.g. rangefinder failures, background or foreground interference, telemetry errors.

Convert Data to Cartesian coordinatesConvert Data to Cartesian coordinates

East North AGL t

Filter Data w.r.t. time & Fit Velocity Vector

Filter Data w.r.t. time & Fit Velocity Vector

• accommodate asynchronous trajectory sampling• low-pass temporal filter with a uniform scale• smooth the trajectory and estimate velocity in a

single step (minimize processing noise)• accommodate wind shear

Page 14: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

• Gaussian-weighted Quadratic Least squares Filter.

• A type of LOESS (locally estimated scatterplot smoothing) filter.

• MatLab m-file: gqlf(t, ti, X, sigma)

{X} are measurements of a cartesian coordinate corresponding to {t}.

{ti} are the evaluation times, bounded by {t}.

The weighting function is exp(-t2/2sigma2). = 10s, typical

Returns NaN if data density is too low (less than 3 data points within ti±3).

• Return values:

qF.b0 profile estimate (at each value ti) balloon trajectory

qF.b1 slope estimate (dX/dt) velocity profile

qF.b2 2nd derivative estimate (d2X/dt2) ~ wind shear vz

qF.err weighted fit error (indicates pointwise quality of b0)

• Inputs need not be uniformly spaced.

• Filter resolution is uniform all along the trajectory.

• For ValidWind vector profiles, repeat GQLF for x, y, and z.

Page 15: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

-1400 -1200 -1000 -800 -600 -400 -200 0-1000

-500

00

200

400

600

800

1000

1200

1400

1600

Danish Flats

10/26/09, 10:39 am MDT

GQLF filter with = 10s

Danish Flats

10/26/09, 10:39 am MDT

GQLF filter with = 10s

altit

ude

(m,

AG

L)

NorthEast

insufficient sample rate

Page 16: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

0 100 200 300 400 500 600 700 800 900 10000

1

2

3

4

5

6

time (seconds)

rms

tra

ject

ory

sm

oo

thin

g r

esi

du

al (

m)

x component (EW)

y component (NS)

z component (vertical)

• residual errors typically 1 - 2m, consistent with sensor precision and pointing repeatability

• errors due to pointing increase with range (r x d)• velocity uncertainty from a 2m residual is < 0.1m/s

Flig

ht #

1, 1

0/26

/09,

Dan

ish

Fla

ts

Page 17: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Boulder Atmospheric Observatory

300m met tower

Sept 30, 2009

(Dan Wolfe, NOAA)

miniMOPA Doppler Lidar

Sept 29, 2009

(Alan Brewer et al., NOAA)

BAO tower40.0500-105.0039latitude 40.05

longitude -105.01per MapQuest

ValidWindinstrument40.0448-105.0056

ValidWind campaign, September 29, 2009.The location was selected to provide balloon tracks passing the miniMOPA outside its 1 km “dead zone.” Initial wind was from the South.

mMOPA lidarlatitude 39.9701longitude -105.1178

ValidWindinstrument39.9634-105.0996

Page 18: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

• wind velocities are consistent

• wind direction offset calibrate ValidWind compass

• wind velocities are consistent

• wind direction offset calibrate ValidWind compass

10 11 12 13 14 15 16 17 180

2

4

6

8

10

12

14

16

18

20

win

d sp

eed

(m/s

)

time (hours, MDT)

ValidWind vs. BAO: -0.25 ± 1.4

win

d so

urce

dire

ctio

n (d

eg)

10 11 12 13 14 15 16 17 180

45

90

135

180

225

270

315

360

ValidWind vs. BAO: 28º ± 1.0

Val

idW

ind

resu

lts a

t 10

0m v

s.

BA

O a

nem

omet

er a

t 10

0m

sim

ilar

resu

lst

at 5

0, 1

50,

& 2

00m

Page 19: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

12 13 14 15 16 17 18 19 20 210

100

200

300

400

500

600

700

800

900

time (MDT)

alti

tud

e (

m, A

GL

)

ValidWind, Boulder, CO, 9/29/09

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5wind speed (m/s)

00:00 UTC

excellent qualitative agreement• wind directions• wind shift event at 23:00 UTC• wind profile features

arrows show wind direction; colors show wind speed

Page 20: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

quantitative agreement in the early afternoon and evening

• wind velocities• profile features• lidar shows a homogeneous, area-

wide wind field

-6 -4 -2 0 2 4 60

100

200

300

400

500

600

700

800

900

100019:37 MDT, 9/29/09

wind velocity component (m/s)

alti

tud

e (

m, A

GL

)

ValidWind NS

ValidWind EWmMOPA NS

mMOPA EW

-6 -4 -2 0 2 4 60

100

200

300

400

500

600

700

800

900

100016:39 MDT, 9/29/09

wind velocity component (m/s)

alti

tud

e (

m, A

GL

)

ValidWind NS

ValidWind EWmMOPA NS

mMOPA EW

Page 21: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Agreement fails when:• wind shift event at 23:00 UTC• lidar shows strong wind field inhomogeneity

mMOPA verifies a local Easterly wind component

-6 -4 -2 0 2 4 60

100

200

300

400

500

600

700

800

900

100017:23 MDT, 9/29/09

wind velocity component (m/s)

alti

tud

e (

m, A

GL

)

ValidWind NS

ValidWind EWmMOPA NS

mMOPA EW

map of Doppler residuals over the ValidWind site

Page 22: Working Group on Space-Based Lidar Winds Destin, Florida February 3, 2010 Tom Apedaile Bill Bradford Alan Marchant Danny Scholes Tom Wilkerson ™ USU Research

Automatic balloon tracking• increased tracking accuracy

• increased sample frequency

• eliminate human limitations on balloon tracking

compass

rangefinder

motorized gimbal

tracking camera

Real-time data processing.• manage the video tracker

• automatic data parsing

• field displays of trajectories and wind profiles