PythonicDISORT

Spec sheet

Purpose

PythonicDISORT solves the one-dimensional radiative transfer equation for a plane-parallel, horizontally homogeneous atmosphere.Read 12 Oct 2026 · pypi.org

Integrations

The installation instructions list PyPI and Conda-Forge as package distribution channels; no other integrations are stated on that page.Read 12 Oct 2026 · pypi.org

Support

The author invites feature requests and feedback and provides the contact address [email protected].Read 12 Oct 2026 · pypi.org

License

PyPI lists the package license as MIT License.Read 12 Oct 2026 · pypi.org

3D visuals

NoRead 24 Sep 2026 · pythonic-disort.readthedocs.io

Additional calculations

The package includes a subroutine for computing actinic fluxes and supports integration with respect to optical depth.Read 12 Oct 2026 · pypi.org

Boundary conditions

Optional inputs include bidirectional reflectance Fourier modes, boundary sources, and isotropic internal sources.Read 5 Oct 2026 · pythonic-disort.readthedocs.io

Dependencies

The listed runtime requirements are Python 3.8 or later, NumPy 1.8.0 or later, and SciPy 1.8.0 or later.Read 5 Oct 2026 · pypi.org

Differentiation

When autograd is installed and compatibility is enabled, it can compute tau derivatives of output functions, with slightly lower efficiency.Read 5 Oct 2026 · pythonic-disort.readthedocs.io

Documentation and audience

The documentation recommends that new users read the non-optional parts of sections 1 and 2, which cover parameter choices and modules and outputs.Read 5 Oct 2026 · pythonic-disort.readthedocs.io

Implementation

It is implemented entirely in Python 3 as a reimplementation of DISORT, rather than as a wrapper.Read 12 Oct 2026 · pypi.org

Installation

The package can be installed from PyPI or Conda-Forge, or by cloning its repository and running pip install ., and requires Python 3.8 or later.Read 12 Oct 2026 · pypi.org

Notable limit

Only the first NFourier bidirectional reflectance Fourier modes are used; additional modes are ignored.Read 5 Oct 2026 · pythonic-disort.readthedocs.io

Numerical limitation

The documentation says computational cost scales approximately with the cube of the number of quadrature points and warns that around 300 or more streams can cause numerical instability and inaccurate intensity at some angles.Read 12 Oct 2026 · pythonic-disort.readthedocs.io

Optional dependencies

Autograd can optionally compute gradients of output functions; pytest is optional for running tests, and Jupyter, Notebook, and Matplotlib are listed for the comprehensive notebook.Read 12 Oct 2026 · pypi.org

Optional integrations

Autograd is optional for derivatives; Jupyter, Notebook, and Matplotlib are listed as optional requirements for the comprehensive notebook.Read 5 Oct 2026 · pypi.org

Outputs

Its solver computes fluxes and can optionally compute intensity.Read 5 Oct 2026 · pythonic-disort.readthedocs.io

Performance limitation

The project says it is optimized for speed but naturally slower than similar Fortran algorithms.Read 12 Oct 2026 · pypi.org

Platform compatibility

The project says it should be system agnostic because it has minimal dependencies and pure Python code, and says the repository was built and tested on Windows 11.Read 12 Oct 2026 · pypi.org

Radiative transfer features

The documented solver supports optional delta-M scaling and Nakajima-Tanaka intensity corrections.Read 5 Oct 2026 · pythonic-disort.readthedocs.io

Solver features

Features include a multilayer solver, delta-M scaling, Nakajima-Tanaka corrections, flux-only mode, direct beam and isotropic internal sources, diffuse-flux boundary sources, surface reflection using a bidirectional reflectance distribution function, and polar-angle interpolation.Read 12 Oct 2026 · pypi.org

Verification

The project provides notebook verification tests and recreated DISORT test problems whose solutions are compared with a F2PY-wrapped Stamnes DISORT version 4.0.99.Read 12 Oct 2026 · pypi.org

Where Specifiction places it

• Physics Simulation Software#63 of 897.4