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Development of a L-band On-orbit Calibration Reference Model for the Marie-Byrd Antarctic Region:  Application to Aquarius, SMOS and SMAP Shannon Brown and Sidharth Misra Jet Propulsion Laboratory, California Institute of Technology
L-band Radiometer Calibration Calibration at L-band has become an important issue:  SMOS, Aquarius, SMAP These radiometers use an internal calibration approach; internal switches and noise diodes Requires external end-to-end calibration reference – pre-launch and on-orbit Calibration techniques developed for radiometers on-board satellite altimeter missions applicable Altimeter radiometers also employ internal calibration For Jason series radiometers, calibration referenced to stable on-Earth references 2
TBReferences 18-37 GHz Tune TB to hot and cold absolute brightness temperature references Vicarious Cold Reference   (Ruf, 2000, TGARS) Stable, statistical lower bound on ocean surface brightness temperature Amazon pseudo-blackbody regions (18-40 GHz) (Brown and Ruf, 2005, JTECH) THOT(frequency, incidence angle, Local Time, Time of year) SSM/I 37.0 GHz V-pol – H-pol TB ,[object Object]
Used on-Earth references to remove long-term drift, instrument temperature dependence and antenna pattern correction errorsHot Reference Targets
AMSR-E De-polarization Developing On-Earth TB Calibration References at L-band Natural targets for L-band radiometer calibration over on-Earth dynamic range Calm, flat ocean scenes – Cold reference Ice sheets: Antarctica (e.g. Dome-C), Greenland – Mid-range reference Land areas:  flat, dry deserts; homogeneous heavily vegetated regions – Hot reference Use to assess absolute calibration, monitor stability and assess residual instrument calibration errors 37 V-H 23 V-H 18 V-H 10 V-H 6 V-H
Use match-ups between Aquarius and ocean altimeters to identify observations over calm seas Compare Aquarius to modeled TB Calm ocean surface reduces model uncertainty – nearly specular emission Model inputs (e.g. SST, SSS) from ancillary data sources Sort comparisons to identify residual errors in corrections (e.g. solar, galactic, ionosphere) Significant number of match-ups with minimal temporal and spatial difference (1 hr/100km) 5 Cold TB Reference Number of match-ups per 1o bin – all horns
Cold Scene Stability Monitoring Used simulated data to assess resolution of method Compare TBs to model to look for jumps/drifts 6 TBV – Model : Horn 1   Inter-channel double difference : Horn 1 Over range of 0 < WS < 5 m/s Assumes 0.5C SST knowledge and 0.5psu SSS knowledge
Antarctic Calibration Reference Recent work has shown Dome-C as suitable candidate for an on-Earth L-band reference (Floury et al., 2002; Macelloni et al. 2006 ; Macelloni et al. 2007) Region is heavily instrumented and studied, but small in size Particularly for Aquarius, larger site desired due to fixed independent radiometer beams Used AMSR-E to search for other suitable Antarctic calibration sites Identified other regions with low spatial and temporal variability of surface and deep ice temperature Aquarius 3-beams
Temporal stability at 6 and 37 GHz 6.9 GHz 37 GHz ,[object Object]
 Regions below 4K std.dev chosen for 37GHz
 Spatial stability of region evaluated by searching for contiguous thermally stable sets within a 150km radius,[object Object]
   Approximate area of stable region ~160,000km2
  Two automated weather stations (AWS) in region,[object Object]
Characteristics of Marie-Byrd Region Warmer surface temperatures in Marie-Byrd region than East Antarctica 11 Mean Surface Temperature Cosimo2000
12 6.9 GHz H-pol 37 GHz H-pol 6.9 GHz V-pol 37 GHz V-pol
13 37 GHz H-pol 6.9 GHz H-pol 37 GHz V-pol 6.9 GHz V-pol
Marie-Byrd vs. Dome C Marie-Byrd Dome-C Tb37_pp = 30K 1Macelloni (2007) Tb37_pp = 15K
15 AMSR-E V-pol Dome C AMSR-E V-pol MB AMSR-E H-pol Dome C AMSR-E H-pol MB
` 16 AMSR-E  6 GHz H-pol AMSR-E  6 GHz V-pol AMSR-E  37 GHz H-pol AMSR-E  37 GHz V-pol
Long Term Temperature Stability at Marie-Byrd ,[object Object]
6 GHz TB stable to <0.1K over last 5 yearsAnnual averaged surface temperature from Byrd AWS stable to ~1C from 1980 – 2000 17
Development of Coupled Forward Model Use model to transfer calibration from higher frequencies radiometers to L-band Model couples an ice heat-transport equation and radiative-transfer equation Constrain model using AMSR-E and in situ AWS data constrain density profile, temperature profile and grain size Predicts brightness temperature at L-band Use as a calibration reference ,[object Object]
Sensitive to heat-transport model, but temporal variability small
Lower uncertainty on monthly or longer time scales
Inter-satellite calibration
Use region to assess calibration between sensors – daily observations
Model used to account for differences in incidence angle
Assessing absolute calibration
Uncertainty dependent on radiative transfer model
Evaluate several models to estimate uncertainty,[object Object]
20 6.9 GHz H-pol SMOS 55o H-pol df SMOS 55o V-pol 6.9 GHz V-pol
Time Series Comparison Monthly averaged SMOS TB at 55o incidence angle compared to AMSR-E 6.9 GHz channel for June 2010 to June 2011 Observed annual signal at L-band higher than expected 21 AMSR-E 6.9 GHz and SMOS V-pol AMSR-E 6.9 GHz and SMOS H-pol

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IGARSS_Brown_Aquarius_2011.pptx

  • 1. Development of a L-band On-orbit Calibration Reference Model for the Marie-Byrd Antarctic Region: Application to Aquarius, SMOS and SMAP Shannon Brown and Sidharth Misra Jet Propulsion Laboratory, California Institute of Technology
  • 2. L-band Radiometer Calibration Calibration at L-band has become an important issue: SMOS, Aquarius, SMAP These radiometers use an internal calibration approach; internal switches and noise diodes Requires external end-to-end calibration reference – pre-launch and on-orbit Calibration techniques developed for radiometers on-board satellite altimeter missions applicable Altimeter radiometers also employ internal calibration For Jason series radiometers, calibration referenced to stable on-Earth references 2
  • 3.
  • 4. Used on-Earth references to remove long-term drift, instrument temperature dependence and antenna pattern correction errorsHot Reference Targets
  • 5. AMSR-E De-polarization Developing On-Earth TB Calibration References at L-band Natural targets for L-band radiometer calibration over on-Earth dynamic range Calm, flat ocean scenes – Cold reference Ice sheets: Antarctica (e.g. Dome-C), Greenland – Mid-range reference Land areas: flat, dry deserts; homogeneous heavily vegetated regions – Hot reference Use to assess absolute calibration, monitor stability and assess residual instrument calibration errors 37 V-H 23 V-H 18 V-H 10 V-H 6 V-H
  • 6. Use match-ups between Aquarius and ocean altimeters to identify observations over calm seas Compare Aquarius to modeled TB Calm ocean surface reduces model uncertainty – nearly specular emission Model inputs (e.g. SST, SSS) from ancillary data sources Sort comparisons to identify residual errors in corrections (e.g. solar, galactic, ionosphere) Significant number of match-ups with minimal temporal and spatial difference (1 hr/100km) 5 Cold TB Reference Number of match-ups per 1o bin – all horns
  • 7. Cold Scene Stability Monitoring Used simulated data to assess resolution of method Compare TBs to model to look for jumps/drifts 6 TBV – Model : Horn 1 Inter-channel double difference : Horn 1 Over range of 0 < WS < 5 m/s Assumes 0.5C SST knowledge and 0.5psu SSS knowledge
  • 8. Antarctic Calibration Reference Recent work has shown Dome-C as suitable candidate for an on-Earth L-band reference (Floury et al., 2002; Macelloni et al. 2006 ; Macelloni et al. 2007) Region is heavily instrumented and studied, but small in size Particularly for Aquarius, larger site desired due to fixed independent radiometer beams Used AMSR-E to search for other suitable Antarctic calibration sites Identified other regions with low spatial and temporal variability of surface and deep ice temperature Aquarius 3-beams
  • 9.
  • 10. Regions below 4K std.dev chosen for 37GHz
  • 11.
  • 12. Approximate area of stable region ~160,000km2
  • 13.
  • 14. Characteristics of Marie-Byrd Region Warmer surface temperatures in Marie-Byrd region than East Antarctica 11 Mean Surface Temperature Cosimo2000
  • 15. 12 6.9 GHz H-pol 37 GHz H-pol 6.9 GHz V-pol 37 GHz V-pol
  • 16. 13 37 GHz H-pol 6.9 GHz H-pol 37 GHz V-pol 6.9 GHz V-pol
  • 17. Marie-Byrd vs. Dome C Marie-Byrd Dome-C Tb37_pp = 30K 1Macelloni (2007) Tb37_pp = 15K
  • 18. 15 AMSR-E V-pol Dome C AMSR-E V-pol MB AMSR-E H-pol Dome C AMSR-E H-pol MB
  • 19. ` 16 AMSR-E 6 GHz H-pol AMSR-E 6 GHz V-pol AMSR-E 37 GHz H-pol AMSR-E 37 GHz V-pol
  • 20.
  • 21. 6 GHz TB stable to <0.1K over last 5 yearsAnnual averaged surface temperature from Byrd AWS stable to ~1C from 1980 – 2000 17
  • 22.
  • 23. Sensitive to heat-transport model, but temporal variability small
  • 24. Lower uncertainty on monthly or longer time scales
  • 26. Use region to assess calibration between sensors – daily observations
  • 27. Model used to account for differences in incidence angle
  • 29. Uncertainty dependent on radiative transfer model
  • 30.
  • 31. 20 6.9 GHz H-pol SMOS 55o H-pol df SMOS 55o V-pol 6.9 GHz V-pol
  • 32. Time Series Comparison Monthly averaged SMOS TB at 55o incidence angle compared to AMSR-E 6.9 GHz channel for June 2010 to June 2011 Observed annual signal at L-band higher than expected 21 AMSR-E 6.9 GHz and SMOS V-pol AMSR-E 6.9 GHz and SMOS H-pol
  • 33. Conclusions and Future Work Marie-Byrd region identified as a candidate L-band calibration site in West Antarctica Large in extent, thermally stable Complementary to Dome-C site Analysis of AMSR-E indicates good long term stability of region Developing model to transfer calibration from higher frequency radiometers (e.g. AMSR-E, WindSat) to L-band over region Next steps Evaluate several radiative transfer models, constrain using AMSR-E Inter-compare Aquarius and SMOS over region
  • 35.
  • 37. Additionally, constrain solution to minimize slope of RMS error vs. instrument temperatureSSM/I 37.0 GHz V-pol – H-pol TB Hot Reference Targets
  • 38. Salinity Retrieval Validation Form database of Aquarius co-locations with in situ data Argo float array, the Shipboard Sensor Database (SSD) and the Global Temperature-Salinity Profile Program (GTSPP). Analyze global mean differences between Aquarius retrieved salinity and in-situ measurements Assess over time and instrument temperature Analyze regional differences Assess antenna pattern correction, faraday rotation correction and atmospheric and roughness corrections 25
  • 39. Faraday Rotation Correction Dual-frequency altimeter match-ups also useful for assessing Faraday rotation correction Match-ups cover large range of TEC values 26
  • 40. 27
  • 42. Calibration Approach for Aquarius Monitor instrument level parameters and diagnostics Objective is to identify the cause of any observed calibration or retrieval error or instability in order to apply a suitable correction at the appropriate level of processing Compare retrievals to in situ ground truth or models Compare brightness temperatures to natural on-Earth reference targets
  • 43.
  • 44. Radiative Transfer Model Used simple radiative transfer model to estimate L-band TB from estimated temperature vs depth Snow is assumed to be dry and pure Density was varied from 0.3g/cm3 to 0.916 g/cm3 to fit with AMSR-E values Simple empirical scattering correction 0.17 K peak to peak 1.4 GHz 6.8 GHz 10.7 GHz 18.7 GHz 36.5 GHz