Skip to main content

JAX-based implementation of RRTMGP radiative transfer for atmospheric modeling.

Project description

JAX-RRTMGP: JAX-based RRTMGP Radiative Transfer

JAX-RRTMGP is a JAX-based implementation of the RRTMGP (Rapid Radiative Transfer Model for General circulation models - Parallel) radiative transfer scheme. This package provides fast, differentiable radiative transfer calculations for atmospheric modeling applications.

RRTMGP is a correlated k-distribution model for computing optical depths, source functions, and fluxes for longwave and shortwave radiation in planetary atmospheres. This JAX implementation enables automatic differentiation and efficient execution on GPUs and TPUs.

Features

  • JAX-native implementation: Full compatibility with JAX transformations (jit, grad, vmap, pmap)
  • GPU/TPU acceleration: Efficient execution on modern accelerators
  • Automatic differentiation: Enable gradient-based optimization and sensitivity analysis [IN PROGRESS]
  • Longwave and shortwave radiation: Complete radiative transfer calculations
  • Gas and cloud optics: Support for molecular absorption and cloud scattering/absorption
  • RRTMGP data files included: Pre-computed optical property lookup tables
  • Comprehensive testing: Extensive test suite with reference data

Installation

It is recommended to install in a virtual environment.

git clone https://github.com/climate-analytics-lab/jax-rrtmgp.git
python3 -m pip install -e jax-rrtmgp

Basic Usage

import jax
import jax.numpy as jnp
from rrtmgp import rrtmgp

# Set up atmospheric state
temperature = jnp.array([...])  # Temperature profile [K]
pressure = jnp.array([...])     # Pressure profile [Pa] 
vmr_h2o = jnp.array([...])      # Water vapor volume mixing ratio

# Initialize RRTMGP
config = rrtmgp.get_default_config()
rrtmgp_state = rrtmgp.initialize(config, pressure, temperature, vmr_h2o)

# Compute radiative fluxes
fluxes_lw = rrtmgp.compute_longwave_fluxes(rrtmgp_state, ...)
fluxes_sw = rrtmgp.compute_shortwave_fluxes(rrtmgp_state, ...)

Package Structure

  • rrtmgp: Main RRTMGP interface
  • rrtmgp.optics: Gas and cloud optical property calculations
  • rrtmgp.rte: Radiative transfer equation solvers
  • rrtmgp.optics.rrtmgp_data: Pre-computed lookup tables

Dependencies

  • JAX: Automatic differentiation and JIT compilation
  • NumPy: Numerical computing
  • NetCDF4: Reading RRTMGP data files

Testing

Run the test suite with:

pytest rrtmgp/

Or run individual test modules:

python rrtmgp/optics/gas_optics_test.py
python rrtmgp/rte/two_stream_test.py

License

Licensed under the Apache License, Version 2.0. This implementation is based on the JAX port of the original RRTMGP Fortran code by Eli Mlawer and Robert Pincus, originally included in swirl-jatmos.

Citation

If you use this software, please cite:

  1. The original RRTMGP paper: Pincus, R., Mlawer, E. J., and Delamere, J. S.: Balancing accuracy, efficiency, and flexibility in radiation calculations for dynamical models, J. Adv. Model. Earth Syst., 11, 3074-3089, 2019.

  2. This JAX implementation: [Add citation when published]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jax_rrtmgp-0.1.0.tar.gz (57.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jax_rrtmgp-0.1.0-py3-none-any.whl (57.1 MB view details)

Uploaded Python 3

File details

Details for the file jax_rrtmgp-0.1.0.tar.gz.

File metadata

  • Download URL: jax_rrtmgp-0.1.0.tar.gz
  • Upload date:
  • Size: 57.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for jax_rrtmgp-0.1.0.tar.gz
Algorithm Hash digest
SHA256 99c694ce9232fc4a288f268e6232040d7072bbaa61e4a8ebc5d974e19c7b2cfe
MD5 4d1862b4d1e849f956adae3713ac3d62
BLAKE2b-256 453c31c31e4aa89460c5f67eb0b016b8683daf33d4a4ef33a6dfdc7396d4c3e9

See more details on using hashes here.

Provenance

The following attestation bundles were made for jax_rrtmgp-0.1.0.tar.gz:

Publisher: release.yaml on climate-analytics-lab/jax-rrtmgp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file jax_rrtmgp-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: jax_rrtmgp-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 57.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for jax_rrtmgp-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 777963197ab0e8995da0000da5fdec442629623af8b0feb0fd38d2ac388dcc7c
MD5 c9208b6af2d32e853bc43203af4ca715
BLAKE2b-256 7105111b1abbeff8960eef8875dba73abf0376250403bd20aa472e3f038209ef

See more details on using hashes here.

Provenance

The following attestation bundles were made for jax_rrtmgp-0.1.0-py3-none-any.whl:

Publisher: release.yaml on climate-analytics-lab/jax-rrtmgp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page