Lee, Elspeth K. H.; Wardenier, Joost P.; Prinoth, Bibiana; Parmentier, Vivien; Grimm, Simon L.; Baeyens, Robin; Carone, Ludmila; Christie, Duncan; Deitrick, Russell; Kitzmann, Daniel; Mayne, Nathan; Roman, Michael; Thorsbro, Brian (2022). 3D Radiative Transfer for Exoplanet Atmospheres. gCMCRT: A GPU-accelerated MCRT Code. Astrophysical journal, 929(2), p. 180. Institute of Physics Publishing IOP 10.3847/1538-4357/ac61d6
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Radiative transfer (RT) is a key component for investigating atmospheres of planetary bodies. With the 3D nature of exoplanet atmospheres being important in giving rise to their observable properties, accurate and fast 3D methods are required to be developed to meet future multidimensional and temporal data sets. We develop an open-source GPU RT code, gCMCRT, a Monte Carlo RT forward model for general use in planetary atmosphere RT problems. We aim to automate the post-processing pipeline, starting from direct global circulation model (GCM) output to synthetic spectra. We develop albedo, emission, and transmission spectra modes for 3D and 1D input structures. We include capability to use correlated-k and high-resolution opacity tables, the latter of which can be Doppler-shifted inside the model. We post-process results from several GCM groups, including ExoRad, SPARC/MITgcm THOR, UK Met Office UM, Exo-FMS, and the Rauscher model. Users can therefore take advantage of desktop and HPC GPU computing solutions. gCMCRT is well suited for post-processing large GCM model grids produced by members of the community and for high-resolution 3D investigations.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Physics Institute > Space Research and Planetary Sciences 08 Faculty of Science > Physics Institute 10 Strategic Research Centers > Center for Space and Habitability (CSH) |
UniBE Contributor: |
Lee, Elspeth, Grimm, Simon Lukas, Deitrick, Russell John, Kitzmann, Daniel |
Subjects: |
500 Science > 520 Astronomy 500 Science > 530 Physics 000 Computer science, knowledge & systems |
ISSN: |
0004-637X |
Publisher: |
Institute of Physics Publishing IOP |
Language: |
English |
Submitter: |
Danielle Zemp |
Date Deposited: |
09 Mar 2023 10:50 |
Last Modified: |
09 Mar 2023 23:27 |
Publisher DOI: |
10.3847/1538-4357/ac61d6 |
BORIS DOI: |
10.48350/179711 |
URI: |
https://boris.unibe.ch/id/eprint/179711 |
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