ppcpy.retrievals.quasiV1#

Functions

quasi_bsc

quasi_retrieval

Retrieve aerosol optical properties using the quasi-retrieving method.

ppcpy.retrievals.quasiV1.quasi_bsc(data_cube)[source]#
ppcpy.retrievals.quasiV1.quasi_retrieval(height, att_beta, molExt, molBsc, LRaer, nIters=2)[source]#

Retrieve aerosol optical properties using the quasi-retrieving method.

Parameters:
  • height (array) – Height in meters [m].

  • att_beta (ndarray) – Attenuated backscatter [m^{-1}Sr^{-1}].

  • molExt (ndarray) – Molecular extinction coefficient [m^{-1}].

  • molBsc (ndarray) – Molecular backscatter coefficient [m^{-1}Sr^{-1}].

  • LRaer (float) – Aerosol lidar ratio [Sr].

  • nIters (int, optional) – Number of iterations (default is 2).

Returns:

Quasi particle backscatter coefficient [m^{-1}Sr^{-1}]. quasi_par_ext (ndarray):

Quasi particle extinction coefficient [m^{-1}].

Return type:

quasi_par_bsc (ndarray)

References

Baars, H., Seifert, P., Engelmann, R., & Wandinger, U. “Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements.” Atmospheric Measurement Techniques 10, 3175-3201, doi:10.5194/amt-10-3175-2017 (2017).

History:
  • 2018-12-25: First edition by Zhenping

  • 2019-03-31: Added the keyword ‘nIters’ to control iteration times.

  • 2025-03-21: AI based translation to python and debugging