Hi there,
Instead of setting ice_ic = 'default' or 'none' in ice_in, I would like to make my own initial condition based on an observational dataset. Therefore, it becomes possible to drive the single-column model icepack with observed forcing starting from the 'observed' initial condition. Can anyone give me some guidance about how can I do it? For example, I have observed data from Aug 10th to Dec 31th. How can I make an initial condition based on what I have for Aug 10th?
Thank you in advance
Instead of setting ice_ic = 'default' or 'none' in ice_in, I would like to make my own initial condition based on an observational dataset. Therefore, it becomes possible to drive the single-column model icepack with observed forcing starting from the 'observed' initial condition. Can anyone give me some guidance about how can I do it? For example, I have observed data from Aug 10th to Dec 31th. How can I make an initial condition based on what I have for Aug 10th?
Thank you in advance