Comment on ''Heat capacity, time constant, and sensitivity of Earth's climate system'' by S. E. Schwartz

@article{Foster2008CommentO,
  title={Comment on ''Heat capacity, time constant, and sensitivity of Earth's climate system'' by S. E. Schwartz},
  author={G. Foster and J. Annan and G. Schmidt and M. E. Mann},
  journal={Journal of Geophysical Research},
  year={2008},
  volume={113}
}
  • G. Foster, J. Annan, +1 author M. E. Mann
  • Published 2008
  • Mathematics
  • Journal of Geophysical Research
  • [1] In a recent paper, Schwartz [2007] (hereinafter referred to as S07) estimated climate sensitivity using globally averaged observed time series. He estimated the planet’s effective heat capacity and ‘‘pertinent time constant’’ from ocean heat content and observed global temperature records, assuming that the latter can be modeled as a firstorder Markov (AR(1)) process after removing the trend due to climate forcing by subtracting a linear trend. [2] As S07 correctly states, the… CONTINUE READING
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    References

    SHOWING 1-10 OF 28 REFERENCES
    Comment on “Heat capacity, time constant, and sensitivity of Earth's climate system” by S. E. Schwartz
    • 43
    • PDF
    An Observationally Based Estimate of the Climate Sensitivity
    • 292
    • PDF
    Earth's Energy Imbalance: Confirmation and Implications
    • 765
    • PDF
    Estimated PDFs of climate system properties including natural and anthropogenic forcings
    • 174
    • PDF
    Stochastic climate models Part I. Theory
    • 1,297
    • PDF
    Causes of climate change over the past 1000 years
    • Crowley
    • Environmental Science, Medicine
    • Science
    • 2000
    • 1,832
    • Highly Influential
    • PDF
    Natural variability of the climate system and detection of the greenhouse effect
    • 160
    A Bivariate Time Series Approach to Anthropogenic Trend Detection in Hemispheric Mean Temperatures
    • 178
    • Highly Influential