Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5211-2022
https://doi.org/10.5194/gmd-15-5211-2022
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

Related authors

Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
Yoann Tellier, Clémence Pierangelo, Martin Wirth, Fabien Gibert, and Fabien Marnas
Atmos. Meas. Tech., 11, 5865–5884, https://doi.org/10.5194/amt-11-5865-2018,https://doi.org/10.5194/amt-11-5865-2018, 2018
Short summary

Related subject area

Climate and Earth system modeling
GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data
Jiateng Guo, Xuechuang Xu, Luyuan Wang, Xulei Wang, Lixin Wu, Mark Jessell, Vitaliy Ogarko, Zhibin Liu, and Yufei Zheng
Geosci. Model Dev., 17, 957–973, https://doi.org/10.5194/gmd-17-957-2024,https://doi.org/10.5194/gmd-17-957-2024, 2024
Short summary
The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation
Shih-Wei Wei, Mariusz Pagowski, Arlindo da Silva, Cheng-Hsuan Lu, and Bo Huang
Geosci. Model Dev., 17, 795–813, https://doi.org/10.5194/gmd-17-795-2024,https://doi.org/10.5194/gmd-17-795-2024, 2024
Short summary
Performance and process-based evaluation of the BARPA-R Australasian regional climate model version 1
Emma Howard, Chun-Hsu Su, Christian Stassen, Rajashree Naha, Harvey Ye, Acacia Pepler, Samuel S. Bell, Andrew J. Dowdy, Simon O. Tucker, and Charmaine Franklin
Geosci. Model Dev., 17, 731–757, https://doi.org/10.5194/gmd-17-731-2024,https://doi.org/10.5194/gmd-17-731-2024, 2024
Short summary
Monsoon Mission Coupled Forecast System version 2.0: model description and Indian monsoon simulations
Deepeshkumar Jain, Suryachandra A. Rao, Ramu A. Dandi, Prasanth A. Pillai, Ankur Srivastava, Maheswar Pradhan, and Kiran V. Gangadharan
Geosci. Model Dev., 17, 709–729, https://doi.org/10.5194/gmd-17-709-2024,https://doi.org/10.5194/gmd-17-709-2024, 2024
Short summary
Exploring the ocean mesoscale at reduced computational cost with FESOM 2.5: efficient modeling strategies applied to the Southern Ocean
Nathan Beech, Thomas Rackow, Tido Semmler, and Thomas Jung
Geosci. Model Dev., 17, 529–543, https://doi.org/10.5194/gmd-17-529-2024,https://doi.org/10.5194/gmd-17-529-2024, 2024
Short summary

Cited articles

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
Download
Short summary
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.