Set of Functions

Particle size distributions (aersols_psd)

Note

  • Author R. Checa-Garcia
  • License GPLv3 (GNU General Public License version 3)
  • Date 2020-01-01 (last update see github)
  • Other requirements xarray , matplotlib

Set of functions to get statistics information of the modal particle size distributions, create plots (using matplotlib) with the modal distributions, and perform a binning of typical aerosols diagnostics. To manage the netCDF files for binning methods, it is used the library xarray

  • Log-normal distribution
  • Binning of (time, lat, lon) fields. Tests for tendency fluxes (emissions, dry and wet deposition)

See also

  • Examples Lognormal distribution

  • Examples Binning of modal emissions

  • Tests

    • If you run python3 lognormal.py the code perform several unittests.
    • The code for bins has been tests, the example is at the code.
    • There are few private methods (not in documentation but in the code) with examples/tests.

Mie Scattering (pymie_core)

  • Author R. Checa-Garcia
  • License GPLv3 (GNU General Public License version 3)
  • Date 2014-11-10
  • Other requirements none

Set of function to calculate mie scattering properties of spheres. It also possible to estimate for a distribution of spheres given the frecuency per size bin.

  • Outputs:
    • Scattering matrix elements F11, F12, F33, and F34
    • Extinction effiency factor (Qext)
    • Extinction cross section (Cext)
    • Scattering effiency factor (Qsca)
    • Scattering cross section (Csca)
    • Absorption effiency factor (Qabs)
    • Absorption cross section (Cabs)
    • Backscattering effiency factor (Qbk)
    • Backscattering cross section (Cbk)
    • Radiation pressure effiency factor (Qpr)
    • Single scattering albedo (albe)
    • Scattering asymetry factor (g)
  • Inputs:
    • Optical Information: complex refraction index

See also