Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 13
Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5211-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-5211-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 13
Model description paper
 | 
07 Jul 2022
Model description paper |  | 07 Jul 2022

Computation of longwave radiative flux and vertical heating rate with 4A-Flux v1.0 as an integral part of the radiative transfer code 4A/OP v1.5

Yoann Tellier, Cyril Crevoisier, Raymond Armante, Jean-Louis Dufresne, and Nicolas Meilhac

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Achard, V.: Trois problèmes clés de l'analyse 3D de la structure thermodynamique de l'atmosphère par satellite: Mesure du contenu en ozone; classification des masses d'air; modélisation hyper rapide du transfert radiatif, PhD thesis, Université Paris VI, LMD, Ecole Polytechnique, 91128 Palaiseau CEDEX, France, 1991. a, b
Alvarado, M. J., Payne, V. H., Mlawer, E. J., Uymin, G., Shephard, M. W., Cady-Pereira, K. E., Delamere, J. S., and Moncet, J.-L.: Performance of the Line-By-Line Radiative Transfer Model (LBLRTM) for temperature, water vapor, and trace gas retrievals: recent updates evaluated with IASI case studies, Atmos. Chem. Phys., 13, 6687–6711, https://doi.org/10.5194/acp-13-6687-2013, 2013. a
Andrews, T.: MOHC HadGEM3-GC31-LL model output prepared for CMIP6 RFMIP rad-irf. Version 20191030, WCRP [data set], https://doi.org/10.22033/ESGF/CMIP6.6320, 2019. a
Boucher, O., Denvil, S., Levavasseur, G., Cozic, A., Caubel, A., Foujols, M.-A., Meurdesoif, Y., Dufresne, J.-L., Sima, A., and Tellier, Y.: IPSL 4AOP-v1-5 model output prepared for CMIP6 RFMIP rad-irf. Version 20200611, WCRP [data set], https://doi.org/10.22033/ESGF/CMIP6.12369, 2020. a
Brath, M.: UHH ARTS2.3 model output prepared for CMIP6 RFMIP rad-irf. Version 20190620, WCRP [data set], https://doi.org/10.22033/ESGF/CMIP6.8919, 2019. a
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Accurate radiative transfer models (RTMs) are required to improve climate model simulations. We describe the module named 4A-Flux, which is implemented into 4A/OP RTM, aimed at calculating spectral longwave radiative fluxes given a description of the surface, atmosphere, and spectroscopy. In Pincus et al. (2020), 4A-Flux has shown good agreement with state-of-the-art RTMs. Here, it is applied to perform sensitivity studies and will be used to improve the understanding of radiative flux modeling.
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