ppcpy.retrievals.quasiV2

Functions

quasi_bsc
quasi_retrieval2	Retrieve aerosol optical properties using quasi retrieval method (V2), improved by utilizing Raman signals.

ppcpy.retrievals.quasiV2.quasi_bsc(data_cube)

ppcpy.retrievals.quasiV2.quasi_retrieval2(height, att_beta_el, att_beta_ra, wv, wv_r, molExtEl, molBscEl, molExtRa, AE, LR, nIters=1)

Retrieve aerosol optical properties using quasi retrieval method (V2), improved by utilizing Raman signals.

Parameters:

• height (ndarray) – Height array [m].

• att_beta_el (ndarray) – Attenuated backscatter at elastic wavelength [m^{-1}sr^{-1}].

• att_beta_ra (ndarray) – Attenuated backscatter at Raman wavelength [m^{-1}sr^{-1}].

• wavelength (int) – Elastic backscatter wavelength [nm].

• molExtEl (ndarray) – Molecular extinction coefficient at elastic wavelength [m^{-1}].

• molBscEl (ndarray) – Molecular backscatter coefficient at elastic wavelength [m^{-1}sr^{-1}].

• molExtRa (ndarray) – Molecular extinction coefficient at Raman wavelength [m^{-1}].

• AE (float) – Extinction-related Ångström exponent.

• LR (float) – Aerosol lidar ratio [sr].

• nIters (int, optional) – Number of iterations. Default is 1.

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)

Reference:

Baars et al., 2017 (DOI:10.5194/amt-10-3175-2017)

History:

• 2021-06-07: first edition by Zhenping

• 2025-03-30: AI translation to python