Stochastic climate theory and modeling

  title={Stochastic climate theory and modeling},
  author={Christian L. E. Franzke and Terence J. O'Kane and Judith Berner and Paul D. Williams and Valerio Lucarini},
  journal={Wiley Interdisciplinary Reviews: Climate Change},
Stochastic methods are a crucial area in contemporary climate research and are increasingly being used in comprehensive weather and climate prediction models as well as reduced order climate models. Stochastic methods are used as subgrid‐scale parameterizations (SSPs) as well as for model error representation, uncertainty quantification, data assimilation, and ensemble prediction. The need to use stochastic approaches in weather and climate models arises because we still cannot resolve all… 

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