Rapid Calibration of Operational and Research Meteorological Satellite Imagers. Part II: Comparison of Infrared Channels

Patrick Minnis Atmospheric Sciences, NASA Langley Research Center, Hampton, Virginia

Search for other papers by Patrick Minnis in
Current site
Google Scholar
PubMed
Close
,
Louis Nguyen Atmospheric Sciences, NASA Langley Research Center, Hampton, Virginia

Search for other papers by Louis Nguyen in
Current site
Google Scholar
PubMed
Close
,
David R. Doelling Analytical Services and Materials, Inc., Hampton, Virginia

Search for other papers by David R. Doelling in
Current site
Google Scholar
PubMed
Close
,
David F. Young Atmospheric Sciences, NASA Langley Research Center, Hampton, Virginia

Search for other papers by David F. Young in
Current site
Google Scholar
PubMed
Close
,
Walter F. Miller Science Applications International Corporation, Hampton, Virginia

Search for other papers by Walter F. Miller in
Current site
Google Scholar
PubMed
Close
, and
David P. Kratz Atmospheric Sciences, NASA Langley Research Center, Hampton, Virginia

Search for other papers by David P. Kratz in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

To establish a more reliable reference instrument for calibration normalization, this paper examines the differences between the various thermal infrared imager channels on a set of research and operational satellites. Mean brightness temperatures from the Visible Infrared Scanner (VIRS) on the Tropical Rainfall Measuring Mission (TRMM) satellite and the second Along-Track Scanning Radiometer (ATSR-2) on the second European Remote Sensing Satellite (ERS-2) are correlated with matched data from the eighth Geostationary Operational Environmental Satellite (GOES-8), the fifth Geostationary Meteorological Satellite (GMS-5), and with each other. VIRS data are also correlated with the Terra satellite's Moderate Resolution Imaging Spectroradiometer (MODIS) provisional data as a preliminary assessment of their relative calibrations. As an additional check on their long-term stability, the VIRS data are compared to the broadband longwave radiances of the Clouds and the Earth's Radiant Energy System (CERES) scanners on TRMM. No statistically significant trend in the calibration of any of the three (3.7, 10.8, and 12.0 μm) VIRS thermal channels could be detected from the comparisons with CERES data taken during 1998 and 2000 indicating that the VIRS channels can serve as a reliable reference for intercalibrating satellite imagers. However, a small day–night difference in the VIRS thermal channels detected at very low temperatures should be taken into account. In general, most of the channels agreed to within less than ±0.7 K over a temperature range between 200 and 300 K. Some of the smaller differences can be explained by spectral differences in the channel response functions. A few larger differences were found at 200 K for some of the channels suggesting some basic calibration differences for lower temperatures. A nearly 3-K bias in the ATSR-2 11-μm channel relative to VIRS and GOES-8 was found at the cold end of the temperature range. The intercalibrations described here are being continued on a routine basis.

Corresponding author address: Patrick Minnis, NASA Langley Research Center, MS 420, Hampton, VA 23681. Email: p.minnis@larc.nasa.gov

Abstract

To establish a more reliable reference instrument for calibration normalization, this paper examines the differences between the various thermal infrared imager channels on a set of research and operational satellites. Mean brightness temperatures from the Visible Infrared Scanner (VIRS) on the Tropical Rainfall Measuring Mission (TRMM) satellite and the second Along-Track Scanning Radiometer (ATSR-2) on the second European Remote Sensing Satellite (ERS-2) are correlated with matched data from the eighth Geostationary Operational Environmental Satellite (GOES-8), the fifth Geostationary Meteorological Satellite (GMS-5), and with each other. VIRS data are also correlated with the Terra satellite's Moderate Resolution Imaging Spectroradiometer (MODIS) provisional data as a preliminary assessment of their relative calibrations. As an additional check on their long-term stability, the VIRS data are compared to the broadband longwave radiances of the Clouds and the Earth's Radiant Energy System (CERES) scanners on TRMM. No statistically significant trend in the calibration of any of the three (3.7, 10.8, and 12.0 μm) VIRS thermal channels could be detected from the comparisons with CERES data taken during 1998 and 2000 indicating that the VIRS channels can serve as a reliable reference for intercalibrating satellite imagers. However, a small day–night difference in the VIRS thermal channels detected at very low temperatures should be taken into account. In general, most of the channels agreed to within less than ±0.7 K over a temperature range between 200 and 300 K. Some of the smaller differences can be explained by spectral differences in the channel response functions. A few larger differences were found at 200 K for some of the channels suggesting some basic calibration differences for lower temperatures. A nearly 3-K bias in the ATSR-2 11-μm channel relative to VIRS and GOES-8 was found at the cold end of the temperature range. The intercalibrations described here are being continued on a routine basis.

Corresponding author address: Patrick Minnis, NASA Langley Research Center, MS 420, Hampton, VA 23681. Email: p.minnis@larc.nasa.gov

Save
  • Barkstrom, B. R., Harrison E. F. , and Lee R. B. III,, 1990: Earth Radiation Budget Experiment—Preliminary seasonal results. Eos, 71 .297 and 304.

    • Search Google Scholar
    • Export Citation
  • 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, 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
  • Brest, C. L., Rossow W. B. , and Roiter M. D. , 1997: Update of radiance calbrations for ISCCP. J. Atmos. Oceanic Technol., 14 , 10911109.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Butler, J. J., and Barnes R. A. , 1998: Calibration strategy for the Earth Observing System (EOS)–AM1 platform. IEEE Trans. Geosci. Remote Sens., 36 , 10561061.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Doelling, D. R., Minnis P. , Spangenberg D. A. , Chakrapani V. , Mahesh A. , Valero F. P. J. , and Pope S. , 2001: Cloud radiative forcing during FIRE ACE derived from AVHRR data. J. Geophys. Res., 106 , 1527915296.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Green, R. N., and Wielicki B. A. , 1995: Convolution of imager cloud properties with CERES footprint point spread function (subsystem 4.4). Clouds and the Earth's Radiant Energy System (CERES) algorithm theoretical basis document. Vol. 3, Cloud analyses and radiance inversions (subsystem 4). NASA Rep. 1376, 177–194.

    • Search Google Scholar
    • Export Citation
  • Inoue, T., and Aonashi K. , 2000: A comparison of cloud and rainfall information from instantaneous visible and infrared scanner and precipitation radar observations over a frontal zone in East Asia during June 1998. J. Appl. Meteor., 39 , 22922301.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kratz, D. P., 1995: The correlated k-distribution technique as applied to the AVHRR channels. J. Quant. Spectrosc. Radiat. Transfer, 53 , 501517.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee R. B. III,, , and Coauthors. 1998: Prelaunch calibrations of the Clouds and Earth's Radiant Energy System (CERES) Tropical Rainfall Measuring Mission and Earth Observing System Morning (EOS–AM1) spacecraft thermistor bolometer sensors. IEEE Trans. Geosci. Remote Sens., 36 , 11731185.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lyu, C. H., Barnes R. A. , and Barnes W. L. , 2000: First results from the on-orbit calibrations of the Visible and Infrared Scanner for the Tropical Rainfall Measuring Mission. J. Atmos. Oceanic Technol., 17 , 385394.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Menzel, W. P., and Purdom J. F. W. , 1994: Introducing GOES-I: The first of a new generation of Geostationary Operational Environmental Satellites. Bull. Amer. Meteor. Soc., 75 , 757781.

    • Crossref
    • 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 III: November 1978 radiative parameters. J. Climate Appl. Meteor., 23 , 10321052.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Minnis, P., and Smith W. L. Jr.,, 1998: Cloud and radiative fields derived from GOES-8 during SUCCESS and the ARM–UAV spring 1996 flight series. Geophys. Res. Lett., 25 , 11131116.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Minnis, P., Young D. F. , and Harrison E. F. , 1991: Examination of the relationship between infrared window radiance and the total outgoing longwave flux using satellite data. J. Climate, 4 , 11141133.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Minnis, P., Garber D. P. , Young D. F. , Arduini R. F. , and Takano Y. , 1998: Parameterization of reflectance and effective emittance for satellite remote sensing of cloud properties. J. Atmos. Sci., 55 , 33133339.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Minnis, P., Nguyen L. , Doelling D. R. , Young D. 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
  • Mutlow, C. T., Murray M. J. , Smith D. L. , Watts P. D. , and North P. , 1999: New data sets for climate change and land use studies are on track. Eos, 49 .589 and 594.

    • 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
  • Smith, W. L., Ackerman S. , Revercomb H. , Huang H. , DeSlover D. H. , Feltz W. , Gumley L. , and Collard A. , 1998: Infrared spectral absorption of nearly invisible cirrus clouds. Geophys. Res. Lett., 25 , 11371141.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Thomas, S., and Coauthors,. 2000: On-orbit radiometric performance results of CERES instruments aboard Tropical Rainfall Measuring Mission (TRMM) and Earth Science Enterprise Terra spacecraft. Proc. Fifth Pacific Ocean Remote Sensing Conf., Goa, India, Australian Bureau of Meteorology, 127–131.

    • Search Google Scholar
    • Export Citation
  • Trishchenko, A., and Li Z. , 2001: A method for the correction of AVHRR onboard IR calibration in the event of short-term radiative contamination. Int. J. Remote Sens., 22 , 36193624.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Weinreb, M., Jamison M. , Fulton N. , Chen Y. , Johnson J. X. , Brenner J. , Smith C. , and Baucom J. , 1997: Operational calibration of Geostationary Operational Environmental Satellite-8 and -9 imagers and sounders. Appl. Opt., 36 , 68956904.

    • 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
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 511 269 80
PDF Downloads 94 24 2