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Looking for a general for some modern major models.

Mott T Greene1

  • 1Honors Program, CMB 1061, University of Puget Sound, Tacoma, WA 98416-1061, USA. greene@ups.edu

Endeavour
|May 2, 2006
PubMed
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Seeing clearly is not necessarily believing.

Natureยท2005
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Complex computer climate models, essential for predicting future climates, face challenges due to their immense size and the complexity of scientific communities developing them. This highlights the dual promise and limits of advancing science through increased computing power.

Area of Science:

  • Climate science
  • Computational modeling
  • Complex systems

Background:

  • Computer climate models are highly complex scientific tools, utilizing vast numbers of equations and supercomputing power to simulate climate evolution over millennia.
  • These models achieve remarkable detail in qualitative descriptions and quantitative precision.

Observation:

  • The advancement of these sophisticated climate models is increasingly challenged by their own scale and complexity.
  • Similar challenges of size and complexity are observed within the scientific communities responsible for developing these models.

Findings:

  • A complex co-evolution exists between the development of advanced computing technologies and the structure of scientific communities.
  • This interplay influences the trajectory and potential of climate modeling and scientific research.

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Implications:

  • Understanding this co-evolution is crucial for assessing the future potential and inherent limitations of computationally driven scientific discovery.
  • It provides insights into managing large-scale scientific endeavors and leveraging computational power effectively.