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.

What is the current status?

26/01/2021

• DONE: Proof of concept for ORCHIDEE-CNP v1.2
• ONGOING: Finding a common setup for pixel selection applicable to all ORCHIDEE versions
• ONGOING: Collecting data from other ORCHIDEE versions for testing
• ONGOING: Translating matlab into python code
• ONGOING: Recruiting task force members

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