![Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],7/29/2011 IGARSS 2011](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recomendados
Recomendados
Mais conteúdo relacionado
Mais procurados
Mais procurados (19)
Destaque
Semelhante a Lim IGARSS2011 Reduced.ppt
Semelhante a Lim IGARSS2011 Reduced.ppt (20)
Mais de grssieee
Mais de grssieee (20)
Último
Último (20)
Lim IGARSS2011 Reduced.ppt
- 1. CALIBRATION AND PERFORMANCE OF THE HAMSR INSTRUMENT DURING THE NASA GRIP CAMPAIGN Boon Lim*, Shannon Brown, Richard Denning, Pekka Kangaslahti, Bjorn Lambrigtsen, Jordan Tanabe, and Alan Tanner Jet Propulsion Laboratory *Contact : Boon.H.Lim@jpl.nasa.gov
- 5. GRIP Flights 7/29/2011 IGARSS 2011 Frank 08/28/2010 Earl 09/02/2010 Matthew 09/23/2010 AL92 09/12/2010 Karl 09/16/2010
- 6. HAMSR Imagery During GRIP Hurricane Earl 2010
- 7. Hurricane Matthew Platform Report – Scott Braun 7/29/2011 IGARSS 2011
- 8. HAMSR GRIP Ground Data System HAMSR ground data processor netCDF L1B files JPL Hurricane Portal HAMSR website quick look images RTMM Commanding Data downlink GHOC
- 9. HAMSR software upgraded after GRIP to provide real-time imagery over Iridium Successfully tested during 2011 WISPAR campaign HAMSR RTMM Display for GRIP
- 11. WISPAR 2011- Thermal Environment 7/29/2011 IGARSS 2011
- 18. Comparison – Gain Smoothing 7/29/2011 IGARSS 2011
- 19. Comparison – Spikes 7/29/2011 IGARSS 2011
- 20. Comparison – Robustness 7/29/2011 IGARSS 2011
- 22. Marginal Pixels 7/29/2011 IGARSS 2011
- 27. HAMSR Timeline 7/29/2011 IGARSS 2010=1
- 28. HAMSR Block Diagram 7/29/2011 IGARSS 2011
- 31. Allan Variance LN2 Stare 7/29/2011 IGARSS 2011
- 32. GRIP – Agency Coordination 7/29/2011 IGARSS 2011
- 33. Danielle, Earl and Fiona 7/29/2011 IGARSS 2011
Notas do Editor
- 4 distributed thermisors Ambient targets maximum rate of change ~20C over 3 hours, 7C per hour Heated targets very stable Improvements with dithering of the dac
- Approx 10C separation in the targets Will also automatically flag if there is a ‘broken’ channel – connection loose, thermal breaks, motor scanning, other mechanical issues
- No discernable difference when Using the Hot or Ambient Counts. Future processing would take a better average of it.
- The gain now actually represents the physical change in the system Receiver temperature does not change on small time scales
- Instantaneous reaction to changes in the system, represented by the change in the counts. Note the thickness in the trace of the ‘smoothed’ gain Actually in the receiver
- Even in failure situations, the calibration is robust and does not incorrectly flag data
- Noise statistics, STD vs percentage Imperative that the flagged pixels are actually what ‘marginal’ and is not flagging good data
- Noise statistics, STD vs percentage Imperative that the flagged pixels are actually what ‘marginal’ and is not flagging good data
- Integrated Multispectral Atmospheric Sounders (IMAS) – NASA Code Y Technology Development Funds JPL, TRW, UMASS develop InP MMICs 55/118 downconverter units CAMEX-4 Convection And Moisture Experiment (Jacksonville, Florida) TCSP Tropical Cloud Systems and Processes (Costa Rica) NAMMA NASA African Monsoon Multidisciplinary Analyses (Cape Verde)
- 4 distributed thermisors Ambient targets maximum rate of change ~20C over 3 hours, 7C per hour Heated targets very stable Improvements with dithering of the dac
- 0.52 dwell time on each target Lines indicated the maximum time from the other target and the maximum time from a single ended calibration