A Reanalysis of the MSU Channel 2 Tropospheric Temperature Record

Carl A. Mears Remote Sensing Systems, Santa Rosa, California

Search for other papers by Carl A. Mears in
Current site
Google Scholar
PubMed
Close
,
Matthias C. Schabel Remote Sensing Systems, Santa Rosa, California

Search for other papers by Matthias C. Schabel in
Current site
Google Scholar
PubMed
Close
, and
Frank J. Wentz Remote Sensing Systems, Santa Rosa, California

Search for other papers by Frank J. Wentz in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Over the period from 1979 to 2001, tropospheric trends derived from a widely cited analysis of the Microwave Sounding Unit (MSU) temperature record show little or no warming, while surface temperature trends based on in situ observations show a pronounced warming of ∼0.2 K decade−1. This discrepancy between trends at the surface and in the upper atmosphere has been a source of significant debate. Model predictions of amplification of warming with height in the troposphere are clearly inconsistent with the available observations, leading some researchers to question the adequacy of their representation of the water vapor greenhouse feedback. A reanalysis of the MSU channel 2 dataset, with the objective of providing a second independent source of these data, is described in this paper. Results presented herein show a global trend of 0.097 ± 0.020 K decade−1, generally agreeing with the work of Prabhakara et al. but in disagreement with the MSU analysis of Christy and Spencer, which shows significantly less (∼0.09 K decade−1) warming. Differences in the various methodologies are discussed and it is demonstrated that the principal source of these discrepancies is in the treatment of errors due to variations in the temperature of the MSU hot calibration target.

Corresponding author address: Carl A. Mears, 438 First St., Ste. 200, Santa Rosa, CA 95401. Email: mears@remss.com

Abstract

Over the period from 1979 to 2001, tropospheric trends derived from a widely cited analysis of the Microwave Sounding Unit (MSU) temperature record show little or no warming, while surface temperature trends based on in situ observations show a pronounced warming of ∼0.2 K decade−1. This discrepancy between trends at the surface and in the upper atmosphere has been a source of significant debate. Model predictions of amplification of warming with height in the troposphere are clearly inconsistent with the available observations, leading some researchers to question the adequacy of their representation of the water vapor greenhouse feedback. A reanalysis of the MSU channel 2 dataset, with the objective of providing a second independent source of these data, is described in this paper. Results presented herein show a global trend of 0.097 ± 0.020 K decade−1, generally agreeing with the work of Prabhakara et al. but in disagreement with the MSU analysis of Christy and Spencer, which shows significantly less (∼0.09 K decade−1) warming. Differences in the various methodologies are discussed and it is demonstrated that the principal source of these discrepancies is in the treatment of errors due to variations in the temperature of the MSU hot calibration target.

Corresponding author address: Carl A. Mears, 438 First St., Ste. 200, Santa Rosa, CA 95401. Email: mears@remss.com

Save
  • Angell, J. K., 2000: Tropospheric temperature variations adjusted for El Niño, 1958–1998. J. Geophys. Res., 105 , 1184111849.

  • Christy, J. R., and R. W. Spencer, 1995: Assessment of precision in temperatures from the microwave sounding units. Climatic Change, 30 , 97102.

    • Search Google Scholar
    • Export Citation
  • Christy, J. R., R. W. Spencer, and E. S. Lobl, 1998: Analysis of the merging procedure for the MSU daily temperature time series. J. Climate, 11 , 20162041.

    • Search Google Scholar
    • Export Citation
  • Christy, J. R., R. W. Spencer, and W. D. Braswell, 2000: MSU tropospheric temperatures: Dataset construction and radiosonde comparisons. J. Atmos. Oceanic Technol., 17 , 11531170.

    • Search Google Scholar
    • Export Citation
  • Christy, J. R., R. W. Spencer, W. B. Norris, W. D. Braswell, and D. E. Parker, 2003: Error estimates of version 5.0 of MSU–AMSU bulk atmospheric temperatures. J. Atmos. Oceanic Technol., 20 , 613629.

    • Search Google Scholar
    • Export Citation
  • Gaffen, D., M. Sargent, R. Habermann, and J. Lanzante, 2000: Sensitivity of tropospheric and stratospheric temperature trends to radiosonde data quality. J. Climate, 13 , 17761796.

    • Search Google Scholar
    • Export Citation
  • Gentemann, C. L., C. J. Donlon, A. Stuart-Menteth, and F. J. Wentz, 2003: Diurnal signals in satellite sea surface temperature measurements. Geophys. Res. Lett., 30 .1140, doi:10.1029/2002GL016291.

    • Search Google Scholar
    • Export Citation
  • Hansen, J., H. Wilson, M. Sato, R. Ruedy, K. Shah, and E. Hansen, 1995: Satellite and surface temperature data at odds? Climatic Change, 30 , 103117.

    • Search Google Scholar
    • Export Citation
  • Hansen, J., R. Ruedy, M. Sato, M. Imhoff, W. Lawrence, D. Easterling, T. Peterson, and T. Karl, 2001: A closer look at the United States and global surface temperature change. J. Geophys. Res., 106 , 2394723963.

    • Search Google Scholar
    • Export Citation
  • Hoots, F. R., and R. L. Roehrich, cited 2003: Spacetrack Rep. 3. [Available online at www.celestrak.com/NORAD/documentation/spacetrk.pdf.].

    • Search Google Scholar
    • Export Citation
  • Houghton, J. T., Y. Ding, D. J. Griggs, M. Noguer, P. J. van der Linden, X. Dai, K. Maskell, and C. A. Johnson, Eds.,. . 2001: Climate Change 2001: The Scientific Basis. Cambridge University Press, 881 pp.

    • Search Google Scholar
    • Export Citation
  • Hurrell, J. W., S. J. Brown, K. E. Trenberth, and J. R. Christy, 2000: Comparison of tropospheric temperatures from radiosondes and satellites: 1979–98. Bull. Amer. Meteor. Soc., 81 , 21652178.

    • Search Google Scholar
    • Export Citation
  • Kidwell, K. B., cited 1998: NOAA polar orbiter data users guide. National Climatic Data Center, 417 pp. [Available online at http://www2.nodc.noaa.gov/docs/podug/.].

    • Search Google Scholar
    • Export Citation
  • Kiehl, J. T., J. J. Hack, G. B. Bonan, B. A. Boville, B. P. Briegleb, D. L. Williamson, and P. J. Rasch, 1996: Description of the NCAR Community Climate Model (CCM3). National Center for Atmospheric Research Tech. Note NCAR/TN-420+STR, Boulder, CO, 152 pp.

    • Search Google Scholar
    • Export Citation
  • Lanzante, J., S. Klein, and D. Seidel, 2003a: Temporal homogenization of monthly radiosonde temperature data. Part I: Methodology. J. Climate, 16 , 224240.

    • Search Google Scholar
    • Export Citation
  • Lanzante, J., S. Klein, and D. Seidel, 2003b: Temporal homogenization of monthly radiosonde temperature data. Part II: Trends, sensitivities, and MSU comparison. J. Climate, 16 , 241262.

    • Search Google Scholar
    • Export Citation
  • Mears, C. A., M. Schabel, F. J. Wentz, B. D. Santer, and B. Govindasamy, 2002: Correcting the MSU middle tropospheric temperature for diurnal drifts. Proc. Int. Geophysics and Remote Sensing Symp., Vol. III, Toronto, ON, Canada, IEEE Geophysics and Remote Sensing Society, 1839–1841.

    • Search Google Scholar
    • Export Citation
  • Mo, T., 1995: A study of the microwave sounding unit on the NOAA-12 satellite. IEEE Trans. Geosci. Remote Sens., 33 , 11411152.

  • Mo, T., M. D. Goldberg, and D. S. Crosby, 2001: Recalibration of the NOAA microwave sounding unit. J. Geophys. Res., 106 (D10) 1014510150.

    • Search Google Scholar
    • Export Citation
  • Parker, D. E., M. Gordon, D. P. N. Cullum, D. M. H. Sexton, C. K. Folland, and N. Rayner, 1997: A new global gridded radiosonde temperature data base and recent temperature trends. Geophys. Res. Lett., 24 , 14991502.

    • Search Google Scholar
    • Export Citation
  • Prabhakara, C., J. R. Iacovazzi, J-M. Yoo, and G. Dalu, 1998: Global warming deduced from MSU. Geophys. Res. Lett., 25 , 19271930.

  • Prabhakara, C., J. R. Iacovazzi, J-M. Yoo, and G. Dalu, 2000: Global warming: Evidence from satellite observations. Geophys. Res. Lett., 27 , 35173520.

    • Search Google Scholar
    • Export Citation
  • Santer, B. D., J. J. Hnilo, T. M. L. Wigley, J. S. Boyle, C. Doutriaux, M. Fiorino, D. E. Parker, and K. E. Taylor, 1999: Uncertainties in “observational” estimates of temperature change in the free atmosphere. J. Geophys. Res., 104 , 63056334.

    • Search Google Scholar
    • Export Citation
  • Santer, B. D., and Coauthors. 2000: Interpreting differential temperature trends at the surface and in the lower troposphere. Science, 287 , 12271232.

    • Search Google Scholar
    • Export Citation
  • Shah, K. P., and D. Rind, 1995: Use of microwave brightness temperatures with a general circulation model. J. Geophys. Res., 100 (D7) 1384113874.

    • Search Google Scholar
    • Export Citation
  • Spencer, R. W., and J. R. Christy, 1990: Precise monitoring of global temperature trends from satellites. Science, 247 , 15581562.

  • Spencer, R. W., and J. R. Christy, 1992a: Precision and radiosonde validation of satellite gridpoint temperature anomalies. Part I: MSU channel 2. J. Climate, 5 , 847857.

    • Search Google Scholar
    • Export Citation
  • Spencer, R. W., and J. R. Christy, 1992b: Precision and radiosonde validation of satellite gridpoint temperature anomalies. Part II: A tropospheric retrieval and trends during 1979–1990. J. Climate, 5 , 858866.

    • Search Google Scholar
    • Export Citation
  • Trenberth, K. E., and J. W. Hurrell, 1997: Response to “How accurate are satellite ‘thermometers’?”. Nature, 389 , 342343.

  • Wallace, J. M., and Coauthors. 1999: Reconciling Observations of Global Temperature Change. National Academy Press, 85 pp.

  • Wentz, F. J., and M. Schabel, 1998: Effects of satellite orbital decay on MSU lower tropospheric temperature trends. Nature, 394 , 661664.

    • Search Google Scholar
    • Export Citation
  • Wentz, F. J., and T. Meissner, 1999: AMSR ocean algorithm, version 2. Remote Sensing Systems RSS Tech. Rep. 121599A, 58 pp.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 810 245 29
PDF Downloads 316 146 19