Documentation for PythonicDISORT package

Installation: pip install PythonicDISORT

Modules (Basic Documentation)

• PythonicDISORT package
  • PythonicDISORT.pydisort module
    • pydisort()
  • PythonicDISORT.subroutines module
    • Clenshaw_Curtis_quad()
    • Gauss_Legendre_quad()
    • Planck()
    • affine_transform_poly_coeffs()
    • atleast_2d_append()
    • blackbody_contrib_to_BCs()
    • cache_BDRF_Fourier_modes()
    • calculate_nu()
    • generate_FD_mat()
    • generate_diff_act_flux_funcs()
    • generate_emissivity_from_BDRF()
    • generate_s_poly_coeffs()
    • interpolate()
    • linear_spline_coefficients()
    • prepend()
    • to_diag_ordered_form()
    • transform_interval()
    • transform_weights()

Jupyter Notebook (Comprehensive Documentation)

It is highly recommended that new users read the non-optional parts of sections 1 and 2.

• Table of Contents
• 1. USER INPUT REQUIRED: Choose parameters
  • 1.1 Choose optical properties
  • 1.2 Choose computational parameters
  • 1.3 Choose phase function
    • 1.3.1 OPTIONAL: Choose delta-M scaling
  • 1.4 Choose direct beam source
  • 1.5 OPTIONAL: Choose BDRF
  • 1.6 OPTIONAL: Choose boundary sources
  • 1.7 OPTIONAL: Choose isotropic internal source
• 2. PythonicDISORT modules and outputs
• 3. Breakdown of single layer solver
  • 3.1 Quadrature
  • 3.2 Fourier expansion of solution
    • 3.2.1 Surface reflection
    • 3.2.2 Important terms
  • 3.3 Delta-M scaling
    • 3.3.1 Scaling a multi-layer atmosphere
  • 3.4 System of ODEs
    • 3.4.1 How to choose NQuad and NLeg?
    • 3.4.2 Assembly of system
  • 3.5 Diagonalization of coefficient matrix
  • 3.6 General solution for each mode and layer
    • 3.6.1 The particular solutions
    • 3.6.2 The homogeneous solution
    • 3.6.3 Verification of the general solution
  • 3.7 The full solution
    • 3.7.1 Verification and visualization: uncorrected
    • 3.7.2 NT corrections
    • 3.7.3 Verification and visualization: NT corrected
  • 3.8 Computation of flux
    • 3.8.1 Impact of delta-M scaling on flux calculations
    • 3.8.2 Verification of flux
    • 3.8.3 Reflectance and transmittance
• 4. Solve for multiple layers
  • 4.1 Verification of multi-layer solver
• 5. Timing PythonicDISORT
• 6. Comparisons against Stamnes’ DISORT
  • 6.1 Flux comparisons
  • 6.2 Intensity comparisons
  • 6.3 Intensity comparisons at interpolation points
  • 6.4 PyTest
  • 6.5 Timing Stamnes’ DISORT
• References