Eradiate DISORT backend

A DISORT radiometric backend for the Eradiate radiative transfer model.

Overview

This project lets Eradiate experiments be solved with DISORT instead of Monte Carlo ray tracing, providing a fast radiometric backend for 1D scenes with plane-parallel or spherical-shell geometry. The solver is reached through the nanodisort bindings to CDISORT, a C port of the original DISORT software.

Main features

• Computes radiances and fluxes for 1D atmospheres (no polarization).
• Applies CDISORT's pseudo-spherical correction to the direct beam when the experiment uses a spherical-shell geometry.
• Drives an Eradiate experiment end-to-end, returning results as an xarray.DataTree.
• Supports Eradiate's mono and ckd spectral modes.
• Defines a DisortMeasure to record fluxes and intensities at chosen altitudes or optical thicknesses, optionally as a full radiance field.

Documentation

See the online documentation for installation details, the API reference and worked examples.

Requirements and installation

• Linux or macOS, Python 3.10 to 3.13.
• A working Eradiate installation.

pip install eradiate[kernel,recommended] eradiate-disort

Usage

Configure an Eradiate experiment with a disort measure, then run it through the backend:

import eradiate
import eradiate_disort as ed
from eradiate.experiments import AtmosphereExperiment

eradiate.set_mode("ckd")

exp = AtmosphereExperiment(
    surface={"type": "lambertian", "reflectance": 0.5},
    atmosphere=None,
    illumination={"type": "directional", "zenith": 30.0, "azimuth": 0.0},
    measures={
        "type": "disort",
        "construct": "hplane",
        "azimuth": 0.0,
        "zeniths": [-60.0, -30.0, 0.0, 30.0, 60.0],
        "srf": {"type": "delta", "wavelengths": [550.0]},
    },
)

backend = ed.DisortBackend()
result = backend.run(exp)

About

Developed and maintained by Vincent Leroy and Claudia Emde.

This backend builds on CDISORT and DISORT; see the nanodisort README for the full credits to the CDISORT and DISORT authors.

Consistent with the nanodisort package it links to, this project is licensed under the terms of the GNU General Public License v3.0 or later (GPL-3.0-or-later).