Assessment of the Visible Channel Calibrations of the VIRS on TRMM and MODIS on Aqua and Terra

Patrick Minnis Climate Sciences Branch, NASA Langley Research Center, Hampton, Virginia

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David R. Doelling Climate Sciences Branch, NASA Langley Research Center, Hampton, Virginia

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Louis Nguyen Climate Sciences Branch, NASA Langley Research Center, Hampton, Virginia

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Walter F. Miller Science Systems and Applications, Inc., Hampton, Virginia

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Venkatesan Chakrapani Hampton University, Hampton, Virginia

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Abstract

Several recent research satellites carry self-calibrating multispectral imagers that can be used for calibrating operational imagers lacking complete self-calibrating capabilities. In particular, the visible (VIS, 0.65 μm) channels on operational meteorological satellites are generally calibrated before launch, but require vicarious calibration techniques to monitor the gains and offsets once they are in orbit. To ensure that the self-calibrating instruments are performing as expected, this paper examines the consistencies between the VIS channel (channel 1) reflectances of the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on the Terra and Aqua satellites and the version 5a and 6 reflectances of the Visible Infrared Scanner (VIRS) on the Tropical Rainfall Measuring Mission using a variety of techniques. These include comparisons of Terra and Aqua VIS radiances with coincident broadband shortwave radiances from the well-calibrated Clouds and the Earth’s Radiant Energy System (CERES), time series of deep convective cloud (DCC) albedos, and ray-matching intercalibrations between each of the three satellites. Time series of matched Terra and VIRS data, Aqua and VIRS data, and DCC reflected fluxes reveal that an older version (version 5a, ending in early 2004) of the VIRS calibration produced a highly stable record, while the latest version (version 6) appears to overestimate the sensor gain change by ∼1% yr−1 as the result of a manually induced gain adjustment. Comparisons with the CERES shortwave radiances unearthed a sudden change in the Terra MODIS calibration that caused a 1.17% decrease in the gain on 19 November 2003 that can be easily reversed. After correction for these manual adjustments, the trends in the VIRS and Terra channels are no greater than 0.1% yr−1. Although the results were more ambiguous, no statistically significant trends were found in the Aqua MODIS channel 1 gain. The Aqua radiances are 1% greater, on average, than their Terra counterparts, and after normalization are 4.6% greater than VIRS radiances, in agreement with theoretical calculations. The discrepancy between the two MODIS instruments should be taken into account to ensure consistency between parameters derived from them. With the adjustments, any of the three instruments can serve as references for calibrating other satellites. Monitoring of the calibrations continues in near–real time and the results are available via the World Wide Web.

Corresponding author address: Patrick Minnis, Climate Sciences Branch, NASA Langley Research Center, Hampton, VA 23681. Email: patrick.minnis-1@nasa.gov

Abstract

Several recent research satellites carry self-calibrating multispectral imagers that can be used for calibrating operational imagers lacking complete self-calibrating capabilities. In particular, the visible (VIS, 0.65 μm) channels on operational meteorological satellites are generally calibrated before launch, but require vicarious calibration techniques to monitor the gains and offsets once they are in orbit. To ensure that the self-calibrating instruments are performing as expected, this paper examines the consistencies between the VIS channel (channel 1) reflectances of the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on the Terra and Aqua satellites and the version 5a and 6 reflectances of the Visible Infrared Scanner (VIRS) on the Tropical Rainfall Measuring Mission using a variety of techniques. These include comparisons of Terra and Aqua VIS radiances with coincident broadband shortwave radiances from the well-calibrated Clouds and the Earth’s Radiant Energy System (CERES), time series of deep convective cloud (DCC) albedos, and ray-matching intercalibrations between each of the three satellites. Time series of matched Terra and VIRS data, Aqua and VIRS data, and DCC reflected fluxes reveal that an older version (version 5a, ending in early 2004) of the VIRS calibration produced a highly stable record, while the latest version (version 6) appears to overestimate the sensor gain change by ∼1% yr−1 as the result of a manually induced gain adjustment. Comparisons with the CERES shortwave radiances unearthed a sudden change in the Terra MODIS calibration that caused a 1.17% decrease in the gain on 19 November 2003 that can be easily reversed. After correction for these manual adjustments, the trends in the VIRS and Terra channels are no greater than 0.1% yr−1. Although the results were more ambiguous, no statistically significant trends were found in the Aqua MODIS channel 1 gain. The Aqua radiances are 1% greater, on average, than their Terra counterparts, and after normalization are 4.6% greater than VIRS radiances, in agreement with theoretical calculations. The discrepancy between the two MODIS instruments should be taken into account to ensure consistency between parameters derived from them. With the adjustments, any of the three instruments can serve as references for calibrating other satellites. Monitoring of the calibrations continues in near–real time and the results are available via the World Wide Web.

Corresponding author address: Patrick Minnis, Climate Sciences Branch, NASA Langley Research Center, Hampton, VA 23681. Email: patrick.minnis-1@nasa.gov

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  • Barnes, R. A., Barnes W. L. , Lyu C-H. , and Gales J. L. , 2000: An overview of the Visible and Infrared Scanner radiometric calibration algorithm. J. Atmos. Oceanic Technol., 17 , 395405.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Barnes, R. A., Eplee R. E. Jr., Patt F. S. , Kieffer H. H. , Stone T. C. , Meister G. , Butler J. J. , and McClain C. R. , 2004: Comparison of SeaWiFS measurements of the moon with the U.S. Geological Survey lunar model. Appl. Opt., 43 , 58385854.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Barnes, W. L., Pagano T. S. , and Salomonson V. V. , 1998: Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS–AM1. IEEE Trans. Geosci. Remote Sens., 36 , 10881100.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Barnes, W. L., Xiong X. , and Salomonson V. , 2004: MODIS instrument status and operational activities. Earth Observing Systems IX, W. L. Barnes and J. J. Butler, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 5542), 14–23.

    • Search Google Scholar
    • Export Citation
  • Doelling, D. R., Nguyen L. , and Minnis P. , 2004: On the use of deep convective clouds to calibrate AVHRR data. Earth Observing Systems IX, W. L. Barnes and J. J. Butler, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 5542), 281–289.

    • Search Google Scholar
    • Export Citation
  • Eplee R. E. Jr., , Barnes R. A. , Patt F. S. , Meister G. , and McClain C. R. , 2004: SeaWiFS lunar calibration methodology after six years on orbit. Earth Observing Systems IX, W. L. Barnes and J. J. Butler, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 5542), 1–13.

    • Search Google Scholar
    • Export Citation
  • Geier, E. B., Green R. N. , Kratz D. P. , Minnis P. , Miller W. F. , Nolan S. K. , and Franklin C. B. , 2003: Clouds and the Earth’s Radiant Energy System Data Management System. Single Satellite Footprint TOA/Surface Fluxes and Clouds (SSF) Collection Doc., release 2, version 1, 243 pp. [Available online at http://asd-www.larc.nasa.gov/ceres/collect_guide/SSF_CG.pdf.].

  • Hu, Y., Wielicki B. A. , Yang P. , Stackhouse P. W. Jr., Lin B. , and Young D. F. , 2004: Application of deep convective cloud albedo observation to satellite-based study of the terrestrial atmosphere: Monitoring the stability of spaceborne measurements and assessing absorption anomaly. IEEE Trans. Geosci. Remote Sens., 42 , 25942599.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Loeb, N. G., 1997: In-flight calibration of NOAA AVHRR visible and near-IR bands over Greenland and Antarctica. Int. J. Remote Sens., 18 , 477490.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Loeb, N. G., Manalo-Smith N. , Kato S. , Miller W. F. , Gupta S. , Minnis P. , and Wielicki B. A. , 2003: Angular distribution models for top-of-atmosphere radiative flux estimation from the Clouds and the Earth’s Radiant Energy System instrument on the Tropical Rainfall Measuring Mission satellite. Part I: Methodology. J. Appl. Meteor., 42 , 240265.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Loeb, N. G., and Coauthors, 2007: Multi-instrument comparison of top-of-atmosphere reflected solar radiation. J. Climate, 20 , 575591.

  • Lyu, C-H., and Barnes W. L. , 2003: Four years of TRMM/VIRS on-orbit calibrations and characterization using lunar models and data from Terra/MODIS. J. Atmos. Oceanic Technol., 20 , 333347.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Matthews, G., Priestley K. , Spence P. , Cooper D. , and Walikainen D. , 2005: Compensation for spectral darkening of short wave optics occurring on the Clouds and the Earth’s Radiant Energy System. Earth Observing Systems X, J. J. Butler, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5882), 354–365.

    • Search Google Scholar
    • Export Citation
  • Matthews, G., Priestley K. , Loeb N. G. , Loukachine K. , Thomas S. , Walikainen D. , and Wielicki B. A. , 2006: Coloration determination of spectral darkening occurring on a broadband earth observing radiometer: Application to Clouds and the Earth’s Radiant Energy System (CERES). Earth Observing Systems XI, J. J. Butler, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 6296), 62960M, doi:10.1117/12.680884.

    • Search Google Scholar
    • Export Citation
  • Minnis, P., and Harrison E. F. , 1984: Diurnal variability of regional cloud and clear-sky radiative parameters derived from GOES data. Part I: Analysis method. J. Climate Appl. Meteor., 23 , 9931011.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Minnis, P., Nguyen L. , Doelling D. R. , Young D. F. , Miller W. F. , and Kratz D. P. , 2002: Rapid calibration of operational and research meteorological satellite imagers. Part I: Evaluation of research satellite visible channels as references. J. Atmos. Oceanic Technol., 19 , 12331249.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Priestley, K. J., and Coauthors, 2000: Postlaunch radiometric validation of the Clouds and the Earth’s Radiant Energy System (CERES) Proto-Flight Model on the Tropical Rainfall Measuring Mission (TRMM) spacecraft through 1999. J. Appl. Meteor., 39 , 22492258.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Priestley, K. J., Thomas S. , Spence P. L. , Szewczyk Z. P. , Kizer E. A. , Walikainen D. , Al-Hajjah A. , and Wilson R. S. , 2003: A comprehensive radiometric validation protocol for the CERES Earth Radiation Budget climate record sensors. Earth Observing Systems VIII, W. L. Barnes, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5151), 282–287.

    • Search Google Scholar
    • Export Citation
  • Richiazzi, P., Yang S. , Gautier C. , and Sowle S. D. , 1998: SBDART: A research and teaching software tool for plane-parallel radiative transfer in the earth’s atmosphere. Bull. Amer. Meteor. Soc., 79 , 21012114.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Smith, D. L., Read P. D. , and Mutlow C. T. , 1997: The calibration of the visible/near infra-red channels of the Along-Track Scanning Radiometer-2 (ATSR-2). Sensors, Systems and Next Generation Satellites, H. Fujisada, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 3221), 53–62.

    • Search Google Scholar
    • Export Citation
  • Smith, G. L., and Coauthors, 2004: Clouds and Earth Radiant Energy System: An overview. Adv. Space Res., 33 , 11251131.

  • Spence, P., Priestley K. , Kizer E. , Thomas S. , Cooper D. , and Walikainen D. , 2004: Correction of drifts in the measurement of the Clouds and Earth’s Radiant Energy System scanning thermistor bolometer instruments on the Terra and Aqua satellites. Earth Observing Systems IX, J. J. Butler, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5542), 53–64.

    • Search Google Scholar
    • Export Citation
  • Tahnk, W. R., and Coakley J. A. Jr., 2002: Improved calibration coefficients for the NOAA-12 and NOAA-15 AVHRR visible and near-IR channels. J. Atmos. Oceanic Technol., 19 , 18261833.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Thomas, S., Priestley K. J. , and Spence P. , 2004: Performance results of CERES instrument sensors aboard EOS Terra and Aqua spacecraft using tropical ocean measurements. Proc. SPIE Earth Observing Systems IX, J. J. Butler, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5542), 65–73.

    • Search Google Scholar
    • Export Citation
  • Wielicki, B. A., Barkstrom B. R. , Harrison E. F. , Lee R. B. III, Smith G. L. , and Cooper J. E. , 1996: Clouds and the Earth’s Radiant Energy System (CERES): An Earth Observing System Experiment. Bull. Amer. Meteor. Soc., 77 , 853868.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wielicki, B. A., and Coauthors, 1998: Clouds and the Earth’s Radiant Energy System (CERES): Algorithm overview. IEEE Trans. Geosci. Remote Sens., 36 , 11271141.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wilson, R. S., Lee R. B. III, Paden J. , Pandey D. K. , Priestley K. J. , Thomas S. , and Al-Hajjah A. , 2003: On-orbit solar calibrations using the Aqua Clouds and Earth’s Radiant Energy System (CERES) in-flight calibration system. Earth Observing Systems VIII, W. L. Barnes, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5151), 288–299.

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