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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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