airborne glm simulator fly’s eye glm simulator mason g. quick, richard blakeslee, hugh christian,...
TRANSCRIPT
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Airborne GLM SimulatorFly’s Eye GLM Simulator
Mason G. Quick, Richard Blakeslee, Hugh Christian, Mike Stewart, Scott Podgorny, David Corredor
NASA Postdoctoral FellowZP-11 MSFC
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Airborne GLM SimulatorObjectives
• Determine GLM Detection Efficiency• Validate the GLM events while observing the
same storms– location accuracy in space and time
• Provide calibration of the Optical Energy that is observed by the GLM– Background radiance (day/night)– Signal radiance
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Fly’s Eye GLM Simulator• 5 x 5 array of radiometers
– OI: 777 nm• 5 extra spectral channels
– UV: 337 nm– UV: 400 nm– NI: 500 nm– Hα: 660 nm– N2: 675 nm– WideBand: 400-1000 nm
• Wide Angle Camera, normal frame rate• Electric Field Change Meter
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FEGSTelescope Array
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FEGSMission Requirements
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• 1/3” CMOS sensor• 1080p HD resolution• 60 fps• Progressive Scan
• 1.4 mm fisheye lens• ~ 95° x 125° FOV
• HD-SDI video signal• GPS text overlay• Waypoint trigger tagging• Record to USB flash drive (or SD card)• 60GB/8HR flight
FEGSIntegrated Camera and DVR
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FEGS
10 km
10 km
FEGS Footprint
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FEGSData System Enclosure
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FEGS Hardware
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FEGSData System Enclosure
ER2 Rack
FEGS Enclosure
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Data System
PreAmp ADCPhotoDiode
FPGA + Buffer
Solid State Drive
Micro Processor
Trigger
GPS
30 Optical Channels
USB 2.0
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FEGS Optical Board Data Channels
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FEGS Optical Board Block Diagram
2.5VREF
LVDS Receivers
+2.5VREF
SCLK (15Mhz)
-2.5VA -2.5VREG
--1.0V REG
-15VA
5.0V REG
+15VA
-15V
+15V
+3.3VD
+5.0VA
-1.0VA
ADC5LTC2376-18 ADC
CNV
SDO1 (Serial output to FPGA board)
LVDS DISTRIBUTIONDRIVERS
PD5 PD4 PD3 PD2 PD1
Bank 1 of 6
Notes:1. Analog front end AC coupled for XXXXXXX2. DC coupled for all others3. FPGA controlled digital triggering off AC coupled channels4. Temp Sensor ADC TBD
Banks 2 to 6
SDO2
SDO3
SDO4
SDO5
SDO6
ADC4 ADC3 ADC2 ADC1
From FPGA board
+5.0VA
5.0VREF
+5.0VREF +15.0VA
REV - 3/23/2015
ADC Front End
ADC Front End
ADC Front End
ADC Front End
ADC Front End
+3.3V
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FEGS FPGA Board Block Diagram
LVDS DriversA3P600-PQ208I
+1.5v Reg
+1.5VDFPGA core
Osc
FPGA Clock
+3.3VD
CY7C1061DV33-10ZSXI
SRAM
SRAMLVDS Receivers
ADC Signalsto ADC BOARD
DS1830AS+
Reset
USB Module + 60Mhz CLK
Copernicus IIGPS
Antenna
TO MICRO
JTAGLVTTL TestHeader
Circular BufferControl
GPS Decoder & UART
SubsecondGenerator
Watchdog
USBFIFO
ADCControl
USBControl
+3.3V
REV - 3/23/2015
Notes:
Camera GPS
RS232Driver
ADC Signalsfrom ADC BOARD
ExternalTrigger in
Camera Trigger(LVTTL)
+12V
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Data Rates
• 30 Optical Channels– 6 MB/s (22 GB/HR)
• Camera – 2 MB/s (7 GB/HR)
• E-Field– 22MB/s (80 GB/HR)
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FEGS Calibration
• Spectral Response• Angular FOV• Sensitivity• Temporal Response• Linearity
• Real Observations?
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Previous Measurements
- Amplitude- Integrated Energy- Rise Time- FWHM (duration)- Number of pulses- Inter-Pulse Interval- Complexity- Background Level
D.M. Mach, R.J. Blakeslee, J.C. Bailey, W.M. Farrell, R.A. Goldberg, M.D. Desch, J.G. Houser, Lightning optical pulse statistics from storm overflights during the Altus Cumulus Electrification Study, Atmospheric Research, Volume 76, 2005, Pages 386-401, doi:10.1016/j.atmosres.2004.11.039
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Additional FEGS Applications
• Optimize LCFA– Spatial or temporal clustering– Accuracy of scientific results– Completeness of performance metrics
• Instrument Health/Degradation
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Other Science Questions
• % radiation at 777.4 nm• Typical optical depths in cloud• TGFs• Dim events from ALTUS Cumulus
Electrification Study (ACES)?
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Thank You
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Total Lightning Optical Observations from Space
• Early indication, tracking, monitoring of storm intensification
• More timely and accurate forecasts and warnings
• In-cloud lightning dominates severe storms• Lightning “jump” identification• Lightning climatology
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• Designed for 10 yrs of operation• Instrument Suite– Earth Viewing: ABI and GLM– Solar Viewing: SUVI and EXIS– SEISS and Magnetometer (in-situ space
environment)• Geostationary Orbit
GOES-R
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Geostationary Lightning Mapper
GOES-R Expected GLM Area Coverage
Steven J. Goodman, Richard J. Blakeslee, William J. Koshak, Douglas Mach, Jeffrey Bailey, Dennis Buechler, Larry Carey, Chris Schultz, Monte Bateman, Eugene McCaul Jr., Geoffrey Stano, The GOES-R Geostationary Lightning Mapper (GLM), Atmospheric Research, Volumes 125–126, May 2013, Pages 34-49, ISSN 0169-8095, http://dx.doi.org/10.1016/j.atmosres.2013.01.006.
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GLM• 1372 x 1300 pixel CCD FPA• Variable pitch CCD FPA• 8-14 km resolution• 2 ms integration• Radiance at 777.4 nm, 1 nm passband• Background Radiance• 7.7 mbps telemetric downlink• Expected DE of 90%• 20 second latency
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GLM
Lightning Cluster
Filter Algorithm
Steven J. Goodman, Richard J. Blakeslee, William J. Koshak, Douglas Mach, Jeffrey Bailey, Dennis Buechler, Larry Carey, Chris Schultz, Monte Bateman, Eugene McCaul Jr., Geoffrey Stano, The GOES-R Geostationary Lightning Mapper (GLM), Atmospheric Research, Volumes 125–126, May 2013, Pages 34-49, ISSN 0169-8095, http://dx.doi.org/10.1016/j.atmosres.2013.01.006.