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Contents

Introduction

Climate System

Causes of Climate Change

Empirical Study of Climate

Climate Modelling

Palaeoclimatic Change

Contemporary Climate Change

Epilogue
Appendix
References

 

6.8.2.5. Multivariate Fingerprints

Although most univariate detection methods of global climate change due to an enhanced greenhouse effect have their limitations, it is likely that multivariate fingerprint methods, which involve the simultaneous use of several time series, will facilitate attribution. In its most general form one might consider the time evolution of a 3-D spatial field, comparing model results with observations. This may be achieved by comparing changes in mean values and variances, or correlating spatial patterns between simulation and observation (Wigley & Barnett, 1990).

  Introduction

Greenhouse Effect

Enhanced G-Effect

Greenhouse Gases
 -Carbon Dioxide
  ·Sources
  ·Sinks
  ·Carbon Cycle
  ·Concentrations
  ·Equilibrium
 -Methane
  ·Sources
  ·Sinks
  ·Concentrations
 -Nitrous Oxide
  ·Sources
  ·Sinks
  ·Concentrations
 -Halocarbons
  ·Sources
  ·Sinks
  ·Concentrations
 -Ozone
 -Other Gases
 -Lifetimes
 -Summary

Greenhouse Forcing
 -Forcing Factors
 -GWPs
 -ΔF-ΔC
 -1765 to 1990
 -Ozone

Aerosols
 -Sources & Sinks
 -Forcing
  ·Direct
  ·Indirect
 -Total Forcing

Climate Variations
 -Surface Temp.
 -Precipitation
 -Other
  ·Stratosphere
  ·Cryosphere
  ·Atmos. Circulation
  ·Cloudiness

Detection
 -Modelling
 -Attribution
  ·Latitudes.
  ·Stratosphere
  ·Precipitation
  ·Sea Level
  ·Fingerprints
 -When?

Future Climate
 -GCM Simulations
 -Feedbacks
  ·Water Vapour
  ·Clouds
  ·Ice Albedo
  ·G-house Gases
 -21st Century

Impacts
 -Agriculture
 -Forestry
 -Ecosystems
 -Water Resources
 -Oceans/Coasts
 -Human & Health

Responses
 -Stabilising
 -FCCC
 -Kyoto Protocol
 -UK Programme
  ·Energy Demand
  ·Energy Supply
 -Evaluation

Conclusion