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Welcome to the Model Uncertainty - Model Intercomparison Project (MUMIP)

An initiative of the WCRP Working Group for Numerical Experimentation and the WWRP Predictability, Dynamics and Ensemble Forecasting Working Group

Introduction

MU-MIP is an international project which seeks to characterise systematic and random component of model error across many different climate models. This is the first coordinated intercomparison of random model error, and will be used to inform stochastic parametrisation development.

Some key questions:

  • How should we best represent model uncertainty/random error using stochastic approaches?
  • To what extent should this representation be model specific or a fundamental property of atmospheric models? 
  • Are current approaches justified? How can they be improved?
  • Can a coarse-graining approach be used to validate and compare high-resolution simulations and their behaviour across scales?

The MU-MIP team consists of scientists from 10+ institutes spanning three continents. Please get in touch (hannah.christensen 'at' physics.ox.ac.uk) if you would like to get involved!

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