RTE+RRTMGP

A set of codes for computing radiative fluxes in planetary atmospheres.
https://github.com/earth-system-radiation/rte-rrtmgp

Category: Atmosphere
Sub Category: Radiative Transfer

Keywords

climate-model radiative-transfer

Keywords from Contributors

climate-models radiative-transfer-models transformations archiving atmospheric-science correlated-k measur observation projection generic

Last synced: about 9 hours ago
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Repository metadata

RTE+RRTMGP is a set of codes for computing radiative fluxes in planetary atmospheres.

README.md

Conda Version
Conda Platforms

The RTE+RRTMGP libraries and data files can be installed via conda-forge.

Documentation

RTE+RRTMGP's documentation contains
a mix of automatically-generated pages and hand-written descriptions. The Wiki is deprecated.

RTE+RRTMGP

This is the repository for RTE+RRTMGP, a set of codes for computing radiative fluxes in planetary atmospheres. RTE+RRTMGP is described in a paper in Journal of Advances in Modeling Earth Systems.

RRTMGP uses a correlated k-distribution to provide an optical description (absorption and possibly Rayleigh optical depth) of the gaseous atmosphere, along with the relevant source functions, on a pre-determined spectral grid given temperatures, pressures, and gas concentration. The k-distribution currently distributed with this package is applicable to the Earth's atmosphere under present-day, pre-industrial, and 4xCO2 conditions.

RTE computes fluxes given spectrally-resolved optical descriptions and source functions. The fluxes are normally summarized or reduced via a user extensible class.

Building the libraries, examples, and unit-testing codes.

A description of building RTE+RRTMGP with CMake is described in the documentation.

See also the autoconf branch for a Gnu autotools build system.

Examples

Two examples are provided in examples/, one for clear skies and one including clouds. Directory tests/ contains regression testing (e.g. to ensure that answers are independent of orientation) and unit testing (to be sure all the code paths are tested). See the README file and codes in each directory for further information.

Citing the code

Code releases are archived at Zenodo. All releases are available at
DOI.
The current release is available at: DOI

Please cite the code using these DOIs and the information in the CITATION.cff file in addition to the reference paper

Acknowledgements

The development of RTE+RRTMGP has been funded in the US by the Office of Naval Research, NASA, NOAA, and the Department of Energy. We
are grateful for contributions from a range of collaborators at institutions including the Swiss Supercomputing Center,
the German Climate Computing Center, and Nvidia.

Citation (CITATION.cff)

cff-version: 1.2.0
title: "RTE+RRTMGP"
authors:
  - family-names: Pincus
    given-names: Robert
    orcid: "https://orcid.org/0000-0002-0016-3470"
  - family-names: Iacono
    given-names: Michael J.
    orcid: "https://orcid.org/0000-0002-9578-0649"
  - family-names: Alexeev
    given-names: Dmitry
    orcid: "https://orcid.org/0000-0002-6425-2181"
  - family-names: Adamidis
    given-names: Panos
  - family-names: Hillman
    given-names: Benjamin R.
    orcid: "https://orcid.org/0000-0002-9264-9872"
  - family-names: Norman
    given-names: Matthew
    orcid: "https://orcid.org/0000-0003-4764-3348"
  - family-names: Pfister
    given-names: Erik
    orcid: "http://orcid.org/0009-0002-2688-138X"
  - family-names: Polonsky
    given-names: Igor N.
  - family-names: Romero
    given-names: Nicols A.
  - family-names: Kosukhin
    given-names: Sergey S.
  - family-names: Wehe
    given-names: Andre
type: software
repository-code: "https://github.com/earth-system-radiaton/rte-rrtmgp"
license: BSD-3-Clause
date-released: "2023-11-27"
version: 1.7

abstract: "RTE+RRTMGP is a set of codes for computing radiative fluxes in planetary atmospheres.
  RRTMGP uses a k-distribution to provide an optical description (absorption and possibly Rayleigh optical depth) of the gaseous atmosphere, along with the relevant source functions, on a pre-determined spectral grid given temperatures, pressures, and gas concentration. RTE computes fluxes given spectrally-resolved optical descriptions and source functions. The fluxes are normally summarized or reduced via a user extensible class."
identifiers:
  - description: "All versions"
    type: doi
    value: 10.5281/zenodo.3403172
keywords:
  - "RTE+RRTMGP"
  - "atmospheric radiation"
  - "radiative transfer"
  - "climate model"
  - research
message: "If you use this software, please cite it using these metadata."

references:
  - authors:
    - family-names: Pincus
      given-names: Robert
    - family-names: Mlawer
      given-names: Eli J.
    - family-names: Delamere
      given-names: Jennifer S.
    doi: 10.1029/2019MS001621
    journal: "Journal of Advances in Modeling Earth Systems"
    scope: "This paper describes the design, concepts, and version 1.0 of the software"
    title: "Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models"
    type: article
    volume: 11
    number: 10
    pages: 3074-3089
    year: 2019

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Name Email Commits
Robert Pincus R****s@c****u 365
Benjamin Hillman b****a@s****v 44
Sergey Kosukhin s****n@m****e 42
dependabot[bot] 4****] 19
Matt Norman n****r@o****v 13
Dmitry Alexeev 5****m 8
William w****r@c****h 7
Max H. Balsmeier m****r@g****m 6
Alexander Soklev 1****x 5
Chiel van Heerwaarden c****n@g****m 4
inpolonsky 5****y 4
pre-commit-ci[bot] 6****] 3
naromero77 n****o@a****v 2
Brad Richardson e****l@p****m 2
Gfacco 7****o 2
Jussi Enkovaara j****a@c****i 2
Nichols A. Romero n****7 2
Rick Pernak 1****8 2
jdelamere j****e 1
Robert Pincus r****p@l****v 1
Robert Pincus r****p@l****v 1
dustinswales d****s@n****v 1
Will Sawyer v****x@g****m 1
Valentin Clement (バレンタイン クレメン) c****l@g****m 1
Robert Cohn r****2@g****m 1
Peter Ukkonen 3****k 1
Peter Norris p****s@n****v 1
Matthew Thompson f****n@g****m 1
Luis Kornblueh l****h@m****e 1
Josué M. Sehnem j****e@s****m 1
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Issue and Pull Request metadata

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Top Issue Labels

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Dependencies

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doc/jekyll_site/Gemfile rubygems
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environment.yml conda
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  • dask
  • matplotlib
  • netcdf4
  • numpy
  • python 3.9.*
  • scipy
  • seaborn
  • urllib3
  • xarray

Score: 7.973844375944687