Hi, I had a use-case question.
apologies if there is a similar issue that I missed.
I picked this package up with the intention of running vertical mixing simulations driven by observational (gridded glider) data. As far as I can see, the numerical input example and file reading src suggests that this driving method was intended for model outputs.
I spent some time jerry rigging a synthetic data generator that spits out .nc files that PyLag can work with so I think that driving a model with observational data is certainly possible if its wrangled into the write form.
Unfortunately I don't have much experience here so I was wondering if this is a good idea... The data I have is gridded into 1m depth bins and 2h time bins so I'm concerned that a 2h dt is just way too long. Do you have any advice/warnings?
Hi, I had a use-case question.
apologies if there is a similar issue that I missed.
I picked this package up with the intention of running vertical mixing simulations driven by observational (gridded glider) data. As far as I can see, the numerical input example and file reading src suggests that this driving method was intended for model outputs.
I spent some time jerry rigging a synthetic data generator that spits out .nc files that PyLag can work with so I think that driving a model with observational data is certainly possible if its wrangled into the write form.
Unfortunately I don't have much experience here so I was wondering if this is a good idea... The data I have is gridded into 1m depth bins and 2h time bins so I'm concerned that a 2h dt is just way too long. Do you have any advice/warnings?