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Review of the U.S. Climate Change Science Program's Synthesis and Assessment Product on Temperature Trends in the Lower Atmosphere (2005) / Chapter Skim
Currently Skimming:

Review of Chapter 4
Pages 27-30

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 27...
... and to surface data on both sea and land. For the atmospheric data, there is separate discussion of radiosonde and satellite data, although less attention is given to radiosonde data because of the well-known historical bias m radiosonde stratosphere measurements (which also affects averages computed for the troposphere)
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From page 28...
... For example, one could treat the unknown shift of the time series (resulting from the change of satellites) as a parameter with a prior distribution, construct a posterior distribution by analyzing data from both satellites, and then integrate out that posterior distribution using Monte Carlo methods to derive a reconstructed time series that allows for uncertainty m the shift.
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From page 29...
... There can be significant biases m the radiosonde temperature data m the stratosphere due to radiation errors. Both radiosonde datasets do not include physical models for radiation adjustments.
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From page 30...
... 2. In lines 335-347, how can the umcertamly of the lower troposphere temperature record be consistent with the mid-troposphere uncertamly, especially given that the mid tropospheric record is biased low by contaminating lower stratosphere influences?
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Key Terms

  • radiosonde data
  • radiosonde datasets
  • lower troposphere
  • troposphere temperature
  • upper troposphere

  • lower stratosphere
  • stratospheric contributions
  • reduce stratospheric
  • satellite data
  • uncorrected biases

  • radiosonde temperature
  • separate discussion
  • monthly mean
  • statistical uncertainty
  • posterior distribution

  • emphasis throughout
  • minor effect
  • analysis relies
  • calibration corrections
  • temperature record

  • radiation errors
  • historical bias
  • separate appendix
  • radiosonde temperatures
  • unknown shift

  • mam contributor
  • time lag
  • adjustments associated
  • cold bias
  • data throughout


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