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
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 by emailing Judith Berner on berner 'at' ucar.edu if you would like to get involved!
We also have a mailing list for communicating information about upcoming meetings, new code and data releases, and so on.
Send a message to sympa 'at' maillist.ox.ac.uk from the address you want to subscribe to the list.
In the subject line of your message, type in: subscribe mumip YourFirstName YourLastName
Leave the message body blank.
All subscribers can email the list - simply send an email to mumip 'at' maillist.ox.ac.uk