Closed hkershaw-brown closed 1 year ago
./obs_seq_to_netcdf
loc = ncread('obs_epoch_001.nc', location);
scatter(loc(1,:), loc(2,:), loc(3,:))
GPS profile locations:
These look like the olympic rings to me. I don't know how to interpret them. @hkershaw-brown is there any issue with 'obs_epoch_001.nc'
or is this the behavior you expect?
@mgharamti no issue I just did a 2d scatter plot instead of 3d and you get a ripple which entertained me. The correct plots are in there too.
This is up and running. There is no perturbing.
Met with CCMC and CU Boulder people. Just getting the original TIEGCM-DART shell scripts for cycling filter as a deliverable, so not putting these python setup scripts into DART and closing this issue for now.
https://github.com/NCAR/DART/tree/nasa-cycle Archived here also https://github.com/hkershaw-brown/DART/tree/nasa-cycle
May resurrect some of this for CROCODILE.
Use case
What are you trying to accomplish? Sometimes there may already be a way to do what you need.
Set up experiments for the NASA-TIEGCM team: https://ccmc.gsfc.nasa.gov/ PMO, filter for a given date range.
There is https://github.com/NCAR/DART/issues/469 hanging out which should be pulled into the experiment setup.
Is your feature request related to a problem?
We don't really have out-of-the box setups that I can point people to when setting up a cycling experiment for a large model. Particularly for PMO. There is https://github.com/NCAR/DART/tree/main/observations/obs_converters/even_sphere which is for synthetic radiosondes
Describe your preferred solution
Python to set up and run the experiment:
Describe any alternatives you have considered
It would nice to not have the setup scripts be model specific. For now, focusing on the TIEGCM-NASA deliverable.