Alex Kinsella, alex.kinsella@whoi.edu
This is code to process and plot the OMI WXT at the Jamestown met station. It is translated to Python from the WHOI UOP Matlab codebase and simplified to apply only to the WXT instrument. The original code was written by members of the UOP group, including Ben Greenwood, Austin Liou, Nan Galbraith, and others.
To use, put the .DAT file from the WXT in your proc_raw/DEPLOYMENT directory, where DEPLOYMENT is the name of your deployment (e.g. summer2025). Open the decode_WXT notebook, make the appropriate change to the deployment variable and your time bounds at the top, and then run all cells. This will create a processed netcdf dataset in the proc_raw/DEPLOYMENT directory.
To make basic plots of all variables, set your desired deployment at the top of the plot_WXT notebook and then run the cell.
I have also included an environment file environment_wxt.yml to create a basic Python environment to run the code. To install and activate the environment, run conda env create -f environment_wxt.yml followed by conda activate wxt_env. Then you can use the resulting kernel to run these notebooks.