- Home
- Physics Simulation Software
- PythonicDISORT
On the recordRead 12 Oct 202622 facts
PythonicDISORT
On the record
- Additional calculations
- The package includes a subroutine for computing actinic fluxes and supports integration with respect to optical depth.pypi.org · read 12 Oct 2026
- Boundary conditions
- Optional inputs include bidirectional reflectance Fourier modes, boundary sources, and isotropic internal sources.pythonic-disort.readthedocs.io · read 5 Oct 2026
- Dependencies
- The listed runtime requirements are Python 3.8 or later, NumPy 1.8.0 or later, and SciPy 1.8.0 or later.pypi.org · read 5 Oct 2026
- Differentiation
- When autograd is installed and compatibility is enabled, it can compute tau derivatives of output functions, with slightly lower efficiency.pythonic-disort.readthedocs.io · read 5 Oct 2026
- 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.pythonic-disort.readthedocs.io · read 5 Oct 2026
- Implementation
- It is implemented entirely in Python 3 as a reimplementation of DISORT, rather than as a wrapper.pypi.org · read 12 Oct 2026
- 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.pypi.org · read 12 Oct 2026
- Integrations
- The installation instructions list PyPI and Conda-Forge as package distribution channels; no other integrations are stated on that page.pypi.org · read 12 Oct 2026
- License
- PyPI lists the package license as MIT License.pypi.org · read 12 Oct 2026
- Notable limit
- Only the first NFourier bidirectional reflectance Fourier modes are used; additional modes are ignored.pythonic-disort.readthedocs.io · read 5 Oct 2026
- 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.pythonic-disort.readthedocs.io · read 12 Oct 2026
- 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.pypi.org · read 12 Oct 2026
- Optional integrations
- Autograd is optional for derivatives; Jupyter, Notebook, and Matplotlib are listed as optional requirements for the comprehensive notebook.pypi.org · read 5 Oct 2026
- Outputs
- Its solver computes fluxes and can optionally compute intensity.pythonic-disort.readthedocs.io · read 5 Oct 2026
- Performance limitation
- The project says it is optimized for speed but naturally slower than similar Fortran algorithms.pypi.org · read 12 Oct 2026
- 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.pypi.org · read 12 Oct 2026
- Purpose
- PythonicDISORT solves the one-dimensional radiative transfer equation for a plane-parallel, horizontally homogeneous atmosphere.pypi.org · read 12 Oct 2026
- Radiative transfer features
- The documented solver supports optional delta-M scaling and Nakajima-Tanaka intensity corrections.pythonic-disort.readthedocs.io · read 5 Oct 2026
