PicassoPy flowchart

[ulysses78]

An overview of the PicassoPy workflow.

• read configs
• read raw-data
• check date in file vs. date in filename
• check_for_correct_mshots
• setChannelTags
• read laser-logbook
• pollyPreprocess
  • Deadtime-correction
  • remove background
  • mask low SNR
  • find polarization calibration times
  • calculate range-corrected-signal
  • Temperature effect correction (for Raman signal).
• saturation detection

[martin-rdz]

The next steps would be

• channel flags (or is that already covered)
• GHK polarization calibration (instead of the 'traditional' transmission ratios)
• Cloud screening and cloud free profiles segmentation (Georg seems to work on an improved version there)
• Meteorological data loading
• Aeronet data loading
• Molecular scattering calculation (at that point for each cloud free profile)
• Rayleigh fitting
• ...

I think the 3 types of auxillary data are a good example for the abstract interface class and concrete implementation

• Met Data
  • Radiosondes
  • Model Data (ECMWF IFS, ICON, ...)
• Water vapour calibration
  • IWV from Microwave Radiometer, Sun Photometer, ....
  • absolute Humidity profiles for Radiosonde, Model, ...
• AOD
  • Photometer
  • ...

[ulysses78]

The channel-flagging is already covered with the pollyChannelTags function of the PicassoProc-class. After calling the function, the class-object (i.e. data_cube) has an extra dictionary, called data_cube.channel_dict.

[martin-rdz]

An (slightly incomplete) overview on the current state:

[martin-rdz]

Another update, which I will include in the documentation soon.
Tried to do it with mermaid, but for that the diagramm is too complex. Now it's rendered with drawio.