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Area of Science:

  • Climate Science
  • Earth System Science
  • Atmospheric Physics

Background:

  • The range of global warming projections remains wide, with estimates for a doubling of CO2 varying from 1.5°C to over 4.5°C.
  • Inter-model differences in climate feedbacks are conventionally considered the primary driver of this warming projection spread (WPS).

Purpose of the Study:

  • To investigate the influence of model control climate states on climate feedback diversity and its contribution to the warming projection spread.
  • To identify factors beyond intrinsic climate feedbacks that explain the divergence in global warming projections.

Main Methods:

  • Analysis of climate model control states, focusing on factors like ice coverage and water vapor.
  • Comparison of how control climate characteristics influence the diversity of climate feedbacks (ice-albedo and water vapor).
  • Assessment of the relationship between control climate diversity and the warming projection spread.

Main Results:

  • Climate feedbacks inherit diversity from the model's control climate state, in addition to intrinsic feedback diversity.
  • Control climate ice coverage influences ice-albedo feedback strength and subsequent warming.
  • Control climate conditions also affect water vapor feedback, with opposing impacts on warming.
  • The influence of inherited traits weakens the correlation between control climate diversity and the warming projection spread.

Conclusions:

  • Diversity in climate model mean states, particularly ice coverage and water vapor, significantly impacts climate feedbacks and warming projections.
  • Understanding and characterizing the diversity among climate model control states is crucial for narrowing the range of future global warming predictions.
  • This research offers a new perspective on the sources of uncertainty in climate modeling.