Experimental AI-assisted Rust rewrite of the PRATMO photochemical box model
Project description
pratmo
[!WARNING]
pratmois an experimental, AI-assisted rewrite of the PRATMO v6.0 stratospheric photochemical box model. It has not been scientifically validated, including the additional iodine chemistry. Do not use its output for scientific conclusions, operational decisions, or safety-critical work without independent review and validation.
pratmo rewrites the original Fortran 77 model in Rust and exposes it through
a command-line runner and a typed Python/NumPy interface. The project aims to
preserve the original model structure while making the code easier to test,
inspect, and embed. It also adds an experimental inorganic iodine mechanism
that is not present in PRATMO v6.0.
Implementation tests and selected numerical comparisons with the compiled Fortran program are included, but these are software consistency checks—not scientific validation of the Rust rewrite, its inputs, or its predictions.
Features
- Rust model core with structured CTM steady-state and full DIURN-cycle APIs.
- Python package named
pratmo, with typed configuration objects and NumPy arrays for profiles, grids, coordinates, time series, and diagnostics. - 40 implicit gas-phase species and 19 long-lived species or chemical families.
- Experimental inorganic iodine chemistry, including ten iodine species, iodine photolysis, higher iodine oxides, and heterogeneous recycling.
- Standard atmospheres, custom atmospheric profiles, configurable aerosol and sea-salt surface areas, and observation-constrained NO2 workflows.
- Compatibility paths for the original fixed-format inputs and legacy CLI outputs, plus opt-in tooling for numerical comparisons with Fortran.
- Runnable CTM, DIURN, iodine, custom-atmosphere, and OMPS batch examples.
The iodine mechanism's assumptions and known omissions are documented in Iodine chemistry.
Python quickstart
The published distribution and import name are both pratmo. To install a
released wheel:
python -m pip install pratmo
For development, build the extension into the project environment:
uv sync --dev
uv run maturin develop --release
Run a small CTM altitude profile:
from pratmo import CtmBoxSpec, CtmConfig, PratmoModel
model = PratmoModel.with_defaults()
output = model.run_ctm(
CtmConfig(
latitude_deg=60.0,
julian_day=75,
integration_days=40,
boxes=[CtmBoxSpec(altitude_level=level) for level in (10, 15, 20, 25)],
)
)
print(output.altitude_km)
print(output.species_profile("o3")) # cm^-3
print(output.long_lived_profile("noy")) # dimensionless mixing ratio
The package exposes IMPLICIT_SPECIES_NAMES, LONG_LIVED_NAMES, and
JVALUE_NAMES for programmatic discovery. Field lookup is case-insensitive.
See the Python documentation and examples for CTM,
DIURN, custom-atmosphere, and observation-constrained workflows.
Rust and CLI
cargo build --workspace
cargo run -p pratmo-cli -- --input-dir fortran
pratmo-core provides the structured Rust API. pratmo-cli preserves the
original file-based workflow and writes Fortran-compatible output files into
the selected input directory.
Development verification
These checks test software behavior and selected Fortran agreement. Passing them does not mean that the model is scientifically validated.
Run the normal development checks with:
cargo fmt --all -- --check
cargo clippy --workspace --all-targets --all-features -- -D warnings
cargo test --workspace
cargo test --workspace --all-features
uv run pytest
uv run sphinx-build -W --keep-going -b html docs docs/_build/html
GitHub Actions runs these Rust checks, the Python tests, a strict documentation
build, and the complete cross-platform wheel build on every push and pull
request. Built distributions are retained as workflow artifacts. The publish
job runs only for release tags matching v* and uses PyPI Trusted Publishing.
The extension uses PyO3's Python 3.9 stable ABI, so each platform build produces
one cp39-abi3 wheel compatible with Python 3.9 and newer.
The clean-room compiled-Fortran differential is available separately:
scripts/fortran_differential.sh
The detailed numerical comparisons, parity policy, and unsupported legacy modes are tracked in STATUS.md and FORTRAN_PARITY.md.
Current boundaries
DERIVSsensitivity mode andPZSTDconversion are rejected explicitly.- The original multi-case Fortran driver loop is not implemented.
- Full CTM climatology-grid coverage remains broader than the comparison fixture.
- The iodine extension has mechanism-level tests but no Fortran reference and has not been scientifically validated.
License
pratmo is available under the MIT License.
Project details
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