run_tropomi.py.md

@@ -10,10 +10,10 @@ This line creates the object TROPOMI:
 
 There are 6 methods available:
 
-* `read_nc`, selects the filepaths.
+* `gather_nc_files`, selects the filepaths.
 
 
-* `process_data`, computes averages and the number of valid observations. If `monthly_avg=True` it performs monthly averages (data is split per month). If `monthly_avg=False` the data is averaged all together. Choose the first option if you are interested in averages per month and from `start_date` and `end_date` there are 1,2...12 months of data. If `save=True` the averaged data (obs, lat, lon) is saved in a netCDF file. If `apply_qa=True`, the quality assurance flags set in the satellite_config.yaml file are applied. If `geospatial_crop` settings are specified, it applies geospatial crop to the data. Default parameters are `monthly_avg=False`, `months=[0]`, `save=False`, `apply_qa=True` and `geospatial_crop: NDArray | None = None`.
+* `process_avg_data`, computes averages and the number of valid observations. If `monthly_avg=True` it performs monthly averages (data is split per month). If `monthly_avg=False` the data is averaged all together. Choose the first option if you are interested in averages per month and from `start_date` and `end_date` there are 1,2...12 months of data. If `save=True` the averaged data (obs, lat, lon) is saved in a netCDF file. If `apply_qa=True`, the quality assurance flags set in the satellite_config.yaml file are applied. If `geospatial_crop` settings are specified, it applies geospatial crop to the data. Default parameters are `monthly_avg=False`, `months=[0]`, `save=False`, `apply_qa=True` and `geospatial_crop: NDArray | None = None`.
 
 
 * `process_lazy_data`, is very similar to `process_data`, but without averaging. Produces daily netCDF files of unprocessed data (no averaging techniques are applied). QA can also be implemented by setting `apply_qa=True`, as well as `geospatial_crop`. Default parameters are `monthly_avg=False`, `months=[0]`, `save=False`, `apply_qa=True` and `geospatial_crop: NDArray | None = None`.