Spin up with a Machine Learning approach

What is it about?

Aim: develop a spinup acceleration procedure which is model version independent. The idea is to develop a python tool set which can applied to the ORCHIDEE family of models.

Who is in?

Task force members: Daniel Goll, Yan Sun, Jinfeng Chang, Yilong Wang, Vladislav Bastrikov, Nicolas Viovy

How can I contribute to this effort?

Please contact the D.Goll if you want to join. Some example we would benefit from are:

• data from conventional spinup simulations
• expertise how to link it to other tools, like libIGCM, ORCHIDAS etc.
• expertise how to host/distribute/maintain the software
• machine learning, python