Quantifying the influence of anthropogenic surface processes and inhomogeneities on gridded global climate data

@article{McKitrick2007QuantifyingTI,
  title={Quantifying the influence of anthropogenic surface processes and inhomogeneities on gridded global climate data},
  author={Ross McKitrick and Patrick J. Michaels},
  journal={Journal of Geophysical Research},
  year={2007},
  volume={112}
}
[1] Local land surface modification and variations in data quality affect temperature trends in surface-measured data. Such effects are considered extraneous for the purpose of measuring climate change, and providers of climate data must develop adjustments to filter them out. If done correctly, temperature trends in climate data should be uncorrelated with socioeconomic variables that determine these extraneous factors. This hypothesis can be tested, which is the main aim of this paper. Using… 
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