HARLIE Winds: Methods and Results
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Transcript of HARLIE Winds: Methods and Results
HARLIE Winds: Methods and Results
M. Anderson, I. Andrus, C. Egbert, and T. Wilkerson
Space Dynamics Laboratory
Utah State University, Logan, UT 84341(435) 797-9611 [email protected]
Presentation for Working Group on Space-Based Lidar Winds
Key West, FL January 23-25,2002
* Research Support: NPOESS, NASA, and SDL
Research Objectives
• Develop methods for HARLIE wind profiling
• Compare HARLIE results with other wind sensors (sondes, GLOW, cloud imagery)
• Refine techniques for data visualization and analysis
• Develop mature HARLIE capability for wind lidar Cal/Val
HARLIE Winds: Methods and Results
Wave image of HARLIE conical scan data: Curve-fit method
Video imagery of cloud motions: Automated pattern recognition and tracking
Automated data reduction for HARLIE scans
• Plans and directions for future work
Topics
Available Wind Data Comparisons (HARGLO-2)
HARLIE(Automated)
HARLIE(Manual)
SkyCam(Automated)
Sondes GLOW
HARLIE Wave Image Wind direction and speed
Lidar return as a function of HARLIE scan angle and time
Curve fit(Manual/Automated)Phase directionAmplitude speed
HARGLO-2 Nov. 16, 2001
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0 1 2 3 4 5 6 7 8Velocity (m/s)
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LORAN Sonde 11:00 UT to 12:37 UT HARLIE Manual 11:00 UT to 11:30 UT
HARLIE Manual 12:00 UT to 12:30 UT
-240 -180 -120 -60 0 60
Direction (deg)
HARGLO-2 Nov. 17, 2001
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Velocity (m/s)
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GPS Sonde 15:15 UT to 15:56 UT HARLIE Manual 14:30 UT to 15:00 UT
HARLIE Manual 15:00 UT to 15:30 UT HARLIE Manual 15:30 UT to 16:00 UT
HARLIE Manual 16:00 UT to 16:30 UT
-90 -60 -30 0 30 60 90 120
Direction (deg)
Cloud tracking via Block Matching (camera image space)
Cloud feature identification Wind Speed and Direction(includes camera distortion correction)
Previous cloud tracking method (manual)
Test of cloud-tracking algorithm from ARM-CART site campaign Oct. 4, 2000
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21:21:36 21:28:48 21:36:00 21:43:12 21:50:24 21:57:36 22:04:48Time
Vel
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SC Block Matching Method (Automated) SC Feature Matching Method (Manual)
Wind Gradients March 7, 1999
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11:00 12:12 13:24 14:36 15:48 17:00Time (hr:min)
Dir
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eg) Harlie 508.5 to 954 m.
Harlie 1081.5 to 1420.5 m.
Harlie 1654 m.
Harlie 1866.5 to 2333 m.
Harlie 5048.5 to 5281.5 m.
SkyCam
Graphical Representation of the Automatic Curve Fit Routine
Intensity vs. Rotation 3/ 9/ 99 13:00 UT
1400 m
0 1 2 3 4 5 6 7 8 9
0 50 100 Rotation Number
0-9 Degrees 10-19 Degrees
Inte
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ty
0-9 Degrees 10-19 Degrees
Wind Velocity and Direction17 Nov, 2001
17 Nov 2001 1700-1729 UT
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0 5 10 15 20
Velocity (m/s)
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HARLIE Automatic HARLIE Manual Sky Cam
17 Nov 2001 1700-1729 UT
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0 10 20 30 40 50 60 70 80 90
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HARLIE Automatic HARLIE Manual SkyCam
Wind Velocity and Direction 19 Nov, 2001
19 Nov 2001, 0930-0959 UT
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HARLIE Automatic HARLIE Manual
19 Nov 2001, 0930-0959UT
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180 225 270 315 360
Direction
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HARLIE Automatic HARLIE Manual
HARGLO-2 Nov. 19, 2001
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0 5 10 15 20 25 30 35
Velocity (m/s)
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LORAN Sonde 11:00 to 12:22 Harlie Manual 11:00 to 11:30 Harlie Manual 11:22 to 12:08
Harlie Manual 11:52 to 12:38 Harlie Automatic 11:30 to 12:00 Harlie Automatic 12:00 to 12:30
150 180 210 240 270 300 330 360
Direction (deg)
GLOW and HARLIE (preliminary results)HARGLO-2
17 Nov 2001, 1800-1830 UT
-30 0 30 60 90 120Horizontal Wind Direction (deg)
HARLIE - manual data extraction GLOW SkyCam
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0 3 6 9 12Horizontal Wind Speed (m/s)
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Status and Plans (USU)
• Automated HARLIE data reduction works• Automated cloud tracking works• These methods still undergoing critical tests• Complete reduction/comparison of
HARGLO-2 data• Additional methods being explored
(correlation/ Fourier analysis)• New measurement campaigns under
consideration
HARLIE Winds: Methods and Results
M. Anderson, I. Andrus, C. Egbert, and T. Wilkerson
Space Dynamics Laboratory
Utah State University, Logan, UT 84341(435) 797-9611 [email protected]
Presentation for Working Group on Space-Based Lidar Winds
Key West, FL January 23-25,2002
* Research Support: NPOESS, NASA, and SDL