DisORT++
A modern C++17 implementation of the DISORT (Discrete Ordinates Radiative Transfer) algorithm. DisORT++ solves the radiative transfer equation in a plane-parallel or pseudo-spherical atmosphere, computing fluxes, mean intensities, and angular intensities at arbitrary optical depths and directions.
Features
- Discrete-ordinate method with arbitrary even stream count
- Henyey-Greenstein, Rayleigh, and tabulated phase functions
- Delta-M and Delta-M+ scaling for forward-peaked scattering
- Thermal emission with Planck-function integration
- Lambertian and BRDF surface reflection (RPV, Cox-Munk, Ambrals, Hapke)
- Plane-parallel and pseudo-spherical beam geometry
- Nakajima-Tanaka and Buras-Emde intensity corrections
- OpenMP-parallelised spectral loop functions for multi-wavenumber calculations
- Python bindings via pybind11
Two solver interfaces
| DisortSolver | DisortFluxSolver | |
|---|---|---|
| Output | Fluxes + intensities | Fluxes only |
| Surface | Lambertian + BRDF | Lambertian |
| Streams | Any even number >= 4 | 4, 6, 8, 10, 12, 14, 16, 32, 64 |
| Performance | Baseline | 30-50% faster |
Installation
From PyPI
pip install disortpp
From source (Python module)
git clone https://github.com/NewStrangeWorlds/DisORT.git
cd DisORT
pip install .
From source (C++ library only)
cd DisORT
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make -j$(nproc)
Dependencies (Eigen 3.4, pybind11) are fetched automatically via CMake FetchContent.
Quick start (Python)
import disortpp
import numpy as np
nlyr = 4
nstr = 16
cfg = disortpp.DisortConfig(nlyr, nstr)
cfg.flags.use_lambertian_surface = True
cfg.flags.comp_only_fluxes = True
cfg.allocate()
cfg.delta_tau = [0.1, 0.5, 1.0, 2.0]
cfg.single_scat_albedo = [0.9, 0.9, 0.9, 0.9]
cfg.set_henyey_greenstein(g=0.8)
cfg.bc.direct_beam_flux = np.pi
cfg.bc.direct_beam_mu = 0.5
cfg.bc.surface_albedo = 0.1
solver = disortpp.DisortSolver()
result = solver.solve(cfg)
flux_up = np.array(result.flux_up)
print(f"Upward flux at TOA: {flux_up[0]:.6f}")
Spectral loops
Solve many wavenumber bands efficiently in a single C++ call with OpenMP parallelisation:
bands = [(100.0, 200.0), (200.0, 300.0), (300.0, 400.0)]
results = disortpp.solve_spectral_bands(cfg, bands)
flux_spectrum = np.array([r.flux_up[0] for r in results])
Quick start (C++)
#include "DisortConfig.hpp"
#include "DisortSolver.hpp"
using namespace disortpp;
int main() {
DisortConfig cfg(4, 16);
cfg.flags.use_lambertian_surface = true;
cfg.flags.comp_only_fluxes = true;
cfg.allocate();
cfg.delta_tau = {0.1, 0.5, 1.0, 2.0};
cfg.single_scat_albedo = {0.9, 0.9, 0.9, 0.9};
cfg.setHenyeyGreenstein(0.8);
cfg.bc.direct_beam_flux = 3.14159;
cfg.bc.direct_beam_mu = 0.5;
cfg.bc.surface_albedo = 0.1;
DisortSolver solver;
DisortResult result = solver.solve(cfg);
double flux_up_toa = result.flux_up[0];
}
CMake build options
| Option | Default | Description |
|---|---|---|
CMAKE_BUILD_TYPE |
Release |
Release (-O3) or Debug (-g -Wall) |
BUILD_PYTHON_BINDINGS |
OFF |
Build the disortpp Python module |
DISORTPP_MARCH_NATIVE |
ON |
Use -march=native (disable for portable binaries) |
Running the tests
cd build
ctest --output-on-failure
License
GNU General Public License v3 (GPLv3). See LICENSE for details.
1 maintainer
Metadata
1 maintainer
Release files for disortpp 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
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| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
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Total release size: 22.3 MB
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