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Demystifying global climate models for use in the life sciences.

David S Schoeman1, Alex Sen Gupta2, Cheryl S Harrison3

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Life scientists can better use climate model data for policy by understanding its strengths and limitations. This guide empowers researchers to avoid spurious conclusions and robustly address climate change impacts on human and natural systems.

Keywords:
CMIP6 modelsEarth system modelsclimate change adaptationclimate change ecologyclimate projections

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Area of Science:

  • Climate Science
  • Life Sciences
  • Environmental Science

Background:

  • Life scientists provide evidence for policymakers on climate change impacts.
  • Climate model outputs are technical and complex, posing challenges for non-experts.
  • Misinterpretation of climate data can lead to flawed conclusions.

Purpose of the Study:

  • To provide an accessible introduction to climate model outputs for life scientists.
  • To empower the life science community to effectively use climate data.
  • To support robust analysis of human and natural systems under climate change.

Main Methods:

  • Review of climate model output characteristics.
  • Explanation of data strengths and limitations.
  • Guidance on appropriate use of climate data for life science research.

Main Results:

  • Life scientists can gain a better understanding of climate model data.
  • Improved ability to assess the reliability of climate projections.
  • Reduced risk of overconfident or spurious conclusions in research.

Conclusions:

  • Accessible understanding of climate model outputs is crucial for life scientists.
  • Empowering researchers with data interpretation skills enhances policy-relevant science.
  • Robust use of climate data supports informed decision-making for a changing world.