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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 5
Pages 31-36

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 31...
... Most of the model simulations analyzed are relatively new, using model integrations performed for the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) assessment.
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From page 32...
... Detection and attribution methods try to represent an observed climatic data set m terms of signals due to forcing factors such as greenhouse gases, aerosols and solar fluctuations, plus correlated random noise. The methods are also called "fingerprint analysis" because it is possible to think of the method as identifying specific fingerprints (spatial patterns of climate change due to specific forcing factors)
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From page 33...
... . Also, the methodology should probably not be used with too many different signal components; most successful applications have used just the major signals mentioned above (greenhouse gases, aerosols and solar fluctuations, possibly including also volcanic forcings, but always bearing m mind that some of these forcings 33
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From page 34...
... In summary, detection and attribution methods are an extremely powerful technique. They are essentially the only method available for formally analyzing the agreement between climate models and observational data.
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From page 35...
... 12. Lines 320-321 state, "volcanic effects probably contribute to slow changes m lapse rate variability".
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From page 36...
... It is those mountain glaciers m low and midlatitudes that are melting systematically. This is a terrific proxy measurement because the mountain glacier melting is unprecedented m modern history and is now happening within the lower atmosphere that is a primary focus of this report.
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Key Terms

  • observational data
  • lapse rate
  • error bars
  • water vapor
  • model runs

  • attribution methods
  • regression analysis
  • climate models
  • plus correlated
  • climate data

  • sulfate response
  • pattern correlations
  • constant relative
  • linear combination
  • relative humidity

  • sulfate signal
  • grid boxes
  • regression coefficients
  • solar fluctuations
  • climate record

  • increase nonlinearly
  • model simulations
  • control runs
  • spatial correlation
  • components analysis

  • mountain glacier
  • decompose climate
  • similar enso
  • correlated noise
  • response patterns


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