Juelich Rapid Spectral Simulation Code
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.
https://github.com/slcs-jsc/jurassic
Category: Atmosphere
Sub Category: Radiative Transfer
Keywords
atmosphere atmospheric-science high-performance-computing infrared meteorology radiative-transfer remote-sensing stratosphere troposphere
Keywords from Contributors
measurements
Last synced: about 2 hours ago
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Repository metadata
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.
- Host: GitHub
- URL: https://github.com/slcs-jsc/jurassic
- Owner: slcs-jsc
- License: gpl-3.0
- Created: 2019-12-27T12:43:59.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2026-06-18T08:09:20.000Z (27 days ago)
- Last Synced: 2026-06-19T02:04:52.874Z (27 days ago)
- Topics: atmosphere, atmospheric-science, high-performance-computing, infrared, meteorology, radiative-transfer, remote-sensing, stratosphere, troposphere
- Language: C
- Homepage: https://slcs-jsc.github.io/jurassic/
- Size: 142 MB
- Stars: 14
- Watchers: 1
- Forks: 5
- Open Issues: 0
- Releases: 15
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: COPYING
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Agents: AGENTS.md
README.md
Juelich Rapid Spectral Simulation Code
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast
infrared radiative transfer model for the analysis of atmospheric
remote sensing measurements.

Introduction
The Jülich Rapid Spectral Simulation Code (JURASSIC) is a radiative
transfer model for simulating infrared radiation in the Earth's
atmosphere. It combines radiative transfer approximations,
spectroscopic lookup tables, and retrieval tools for atmospheric remote
sensing applications.
Statement of need
Infrared limb, nadir, and zenith observations are widely used to study
temperature, composition, and dynamical variability in the atmosphere.
Interpreting these measurements requires radiative transfer calculations,
but full line-by-line models can be too computationally expensive for
large satellite datasets, sensitivity studies, or iterative retrieval
workflows.
JURASSIC addresses this use case by combining radiative transfer
approximations with precomputed spectroscopic lookup tables. It is
intended for users who need many infrared radiance or transmittance
calculations with configurable atmospheric states, instrument settings,
and observation geometries.
The model has been used in studies of satellite remote sensing and
middle-atmosphere dynamics, including temperature retrievals, trace-gas
retrievals, and gravity-wave analyses. It complements line-by-line
radiative transfer models by providing a faster modelling option for
workflows where lookup-table approximations are appropriate.
Features
JURASSIC provides a comprehensive and efficient framework for infrared
radiative transfer simulations, offering key capabilities to support
research, operational, and development workflows:
-
Efficient radiative transfer approximations: JURASSIC implements
the Emissivity Growth Approximation (EGA) and the Curtis–Godson
Approximation (CGA) to model infrared radiative transfer. These
methods enable rapid yet accurate simulations of atmospheric
radiances and transmittances across a broad spectral range. -
Lookup-table spectroscopy: Band
transmittances are derived from pre-calculated lookup tables based
on detailed line-by-line spectroscopy. This approach maintains
spectroscopic accuracy while largely reducing computational cost,
making the model suitable for large-scale and near-real-time
applications. -
Optimal estimation retrieval framework: In addition to forward
modelling, JURASSIC includes an optimal estimation retrieval
module for inverse modelling of atmospheric state variables. This
enables the derivation of geophysical parameters such as
temperature or trace gas volume mixing ratios from observed
radiances, providing a complete forward–inverse modelling system
within the same framework. -
Flexible configuration and modular design: The model supports
customizable spectral bands, instrument configurations, and
atmospheric input fields, allowing users to integrate JURASSIC
into diverse workflows and existing analysis pipelines. -
Comparison with reference models: Published studies have
compared JURASSIC results with radiative transfer codes such as
KOPRA, RFM, and SARTA. -
Parallel execution for HPC environments: JURASSIC supports
workflow-level parallelism, OpenMP acceleration across the tool
suite, and MPI-based task distribution for retrieval workloads.
This enables efficient execution on multicore CPUs and HPC
clusters for large datasets and campaign-style processing. -
Open source and community-oriented: JURASSIC is distributed
under the GNU General Public License (GPL), fostering
transparency, collaboration, and community-driven development
within the atmospheric and remote sensing research community.
Getting started
Prerequisites
This documentation describes the installation of JURASSIC on a Linux
system. A number of standard tools (gcc, git, make) and software
libraries are needed to install JURASSIC.
Mandatory build and runtime dependencies include:
- GNU Scientific Library (GSL) for numerical calculations
- netCDF-C and HDF5 libraries for file input/output
- GNU C compiler with OpenMP support
A complete list of mandatory and optional dependencies is provided in the
dependencies file.
Installation
To install JURASSIC, follow these steps:
1. Download JURASSIC
Get the latest or a previous version from the
JURASSIC releases page. After
downloading, extract the release file:
unzip jurassic-x.y.zip
Alternatively, to get the latest development version, clone the GitHub repository:
git clone https://github.com/slcs-jsc/jurassic.git
2. Install dependencies
For the default build, the JURASSIC git repository includes bundled
third-party libraries that can be compiled and installed using a build
script:
cd [jurassic_directory]/libs
./build.sh
This builds the bundled third-party libraries into libs/build/.
Alternatively, if you prefer to use existing system libraries, install
the required dependencies manually. Distribution-specific package
information, optional tools, and version details are collected in the
dependencies file.
3. Optional: adjust the Makefile for non-default setups
Navigate to the source directory and adjust the Makefile as needed:
cd [jurassic_directory]/src
edit Makefile
Pay special attention to the following settings:
-
Edit the
LIBDIRandINCDIRpaths to point to the directories
where the necessary libraries are located on your system. -
By default, the JURASSIC binaries are linked dynamically. If you
used the bundled libs, ensure that your runtime environment can find
the shared libraries inlibs/build/lib. The example scripts in
projects/set this automatically. If you installed system libraries
in standard paths, no additional setup is needed. If you prefer
static linking, you can enable it by setting theSTATICflag, which
allows you to copy and use the binaries on other machines. However,
in some cases, either static or dynamic linking may not be feasible
or could cause specific issues.
4. Compile JURASSIC
For the default bundled-library build, no changes to the Makefile are
usually required:
cd [jurassic_directory]/src
make [-j]
Run the regression test suite to verify the installation:
make check
This uses the include and library paths prepared in libs/build/.
Run the examples
JURASSIC includes a projects directory containing example setups
that demonstrate different observation geometries and typical model
workflows. This directory can also be used to store your own
experiments.
Running the examples provided in the projects directory is a convenient
way to verify that the installation was successful. Example simulations
are provided for three observation geometries. The example scripts set
the runtime library path for the bundled-library build automatically and
use gnuplot to generate diagnostic plots:
# Limb
cd [jurassic_directory]/projects/limb && ./run.sh
# Nadir
cd [jurassic_directory]/projects/nadir && ./run.sh
# Zenith
cd [jurassic_directory]/projects/zenith && ./run.sh
Each example performs a complete radiative transfer simulation. Inside
the corresponding example directory, the scripts generate an observation
geometry file,
cat obs.tab
a standard mid-latitude atmospheric profile,
cat atm.tab
and simulated radiances for two or three detector channels:
cat rad.tab
Kernel functions (Jacobians) are calculated using a finite-difference
method:
cat kernel.tab
The simulation output is automatically compared with reference data to
verify the correctness of the results. Additionally, gnuplot is used
to generate plots of the simulated radiances and kernel functions.
Lookup tables
JURASSIC relies on precomputed spectroscopic lookup tables derived
from high-resolution line-by-line calculations. These tables provide
band transmittances used by the radiative transfer approximations
implemented in the model. Precomputed lookup tables for common
configurations are available from the
JURASSIC data repository.
Users may either download these datasets or generate custom lookup
tables tailored to specific spectral bands or instrument configurations.
Creating custom lookup tables requires access to a line-by-line
radiative transfer model capable of calculating high-resolution
absorption spectra of a homogeneous gas cell. The lookup tables
distributed with JURASSIC were generated using the
Reference Forward Model (RFM) from the University of Oxford.
Other line-by-line models may be used if they provide the required
homogeneous-gas-cell absorption spectra.
Further information
More detailed information for new users and developers is available in
the JURASSIC manual. The
GitHub wiki collects links
to manuals, repository files, and related resources.
These are the main references for citing the JURASSIC model in
scientific publications:
-
Baumeister, P. F. and Hoffmann, L.: Fast infrared radiative transfer
calculations using graphics processing units: JURASSIC-GPU v2.0,
Geosci. Model Dev., 15, 1855–1874,
https://doi.org/10.5194/gmd-15-1855-2022, 2022. -
Hoffmann, L., and M. J. Alexander, Retrieval of stratospheric
temperatures from Atmospheric Infrared Sounder radiance measurements
for gravity wave studies, J. Geophys. Res., 114, D07105,
https://doi.org/10.1029/2008JD011241, 2009. -
Hoffmann, L., Kaufmann, M., Spang, R., Müller, R., Remedios, J. J.,
Moore, D. P., Volk, C. M., von Clarmann, T., and Riese, M.: Envisat
MIPAS measurements of CFC-11: retrieval, validation, and
climatology, Atmos. Chem. Phys., 8, 3671-3688,
https://doi.org/10.5194/acp-8-3671-2008, 2008. -
You can cite the source code of JURASSIC by using the DOI
https://doi.org/10.5281/zenodo.4572889. This DOI represents all
versions, and will always resolve to the latest one. Specific DOIs
for each release of JURASSIC can be found on the Zenodo website.
Please see the citation file
for further information.
Contributing
We are interested in sharing JURASSIC for operational or research
applications. Please do not hesitate to contact us if you have any
further questions or need support. Please see the
contributing guidelines
and the
code of conduct
before contributing.
License
JURASSIC is distributed under the
GNU General Public License v3.0.
Contact
Dr. Lars Hoffmann
Jülich Supercomputing Centre, Forschungszentrum Jülich
e-mail: l.hoffmann@fz-juelich.de
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Juelich Rapid Spectral Simulation Code (JURASSIC)
message: >-
If you use this software, please cite it using the
metadata from the CITATION.cff file.
type: software
authors:
- given-names: Lars
family-names: Hoffmann
email: l.hoffmann@fz-juelich.de
affiliation: Forschungszentrum Jülich
orcid: 'https://orcid.org/0000-0003-3773-4377'
identifiers:
- type: doi
value: 10.5281/zenodo.4572889
description: Concept DOI for all JURASSIC releases on Zenodo.
repository-code: 'https://github.com/slcs-jsc/jurassic'
abstract: >-
The Juelich Rapid Spectral Simulation Code
(JURASSIC) is a fast infrared radiative transfer
model for the analysis of atmospheric remote
sensing measurements.
keywords:
- atmospheric science
- remote sensing
- radiative transfer
- infrared
license: GPL-3.0
Owner metadata
- Name: Simulation and Data Laboratory Climate Science
- Login: slcs-jsc
- Email: slcs_jsc@fz-juelich.de
- Kind: organization
- Description:
- Website: http://www.fz-juelich.de/ias/jsc/slcs
- Location: Forschungszentrum Jülich, Germany
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/14200814?v=4
- Repositories: 4
- Last ynced at: 2023-03-05T19:36:56.465Z
- Profile URL: https://github.com/slcs-jsc
GitHub Events
Total
- Release event: 3
- Fork event: 1
- Watch event: 1
- Push event: 334
- Gollum event: 3
- Create event: 2
Last Year
- Release event: 1
- Fork event: 1
- Push event: 292
Committers metadata
Last synced: 9 days ago
Total Commits: 446
Total Committers: 4
Avg Commits per committer: 111.5
Development Distribution Score (DDS): 0.007
Commits in past year: 227
Committers in past year: 3
Avg Commits per committer in past year: 75.667
Development Distribution Score (DDS) in past year: 0.009
| Name | Commits | |
|---|---|---|
| Lars Hoffmann | l****n@f****e | 443 |
| floratu458 | f****l@g****m | 1 |
| The Codacy Badger | b****r@c****m | 1 |
| Amir H. Nikfal | a****l@g****m | 1 |
Committer domains:
- codacy.com: 1
- fz-juelich.de: 1
Issue and Pull Request metadata
Last synced: 3 months ago
Total issues: 0
Total pull requests: 3
Average time to close issues: N/A
Average time to close pull requests: about 17 hours
Total issue authors: 0
Total pull request authors: 2
Average comments per issue: 0
Average comments per pull request: 0.33
Merged pull request: 2
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: 2 days
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 1.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
Top Pull Request Authors
- codacy-badger (2)
- anikfal (1)
Top Issue Labels
Top Pull Request Labels
Dependencies
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- codecov/codecov-action v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- mattnotmitt/doxygen-action v1.9.4 composite
- peaceiris/actions-gh-pages v3 composite
- actions/checkout v2 composite
Score: 4.025351690735149