Articles | Volume 18, issue 4
https://doi.org/10.5194/gmd-18-1241-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-1241-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
28 Feb 2025
Development and technical paper |
| 28 Feb 2025
| 28 Feb 2025
An updated non-intrusive, multi-scale, and flexible coupling interface in WRF 4.6.0
Sébastien Masson
CORRESPONDING AUTHOR
LOCEAN-IPSL, Sorbonne Université (UPMC)/IRD/CNRS/MNHN, UMR7159, Paris, 75005, France
Swen Jullien
Univ Brest, Ifremer, CNRS, IRD, LOPS, 29280 Plouzané, France
Eric Maisonnave
LOCEAN-IPSL, Sorbonne Université (UPMC)/IRD/CNRS/MNHN, UMR7159, Paris, 75005, France
David Gill
St Pius X (MS, Inc.), Aurora, Colorado, 80011, USA
Guillaume Samson
Mercator Ocean International, Toulouse, 31400, France
Mathieu Le Corre
Service Hydrographie et Océanographie de la Marine, Brest, France
Lionel Renault
LEGOS, Université de Toulouse, CNES-CNRS-IRD-UPS, Toulouse, 31400, France
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Cited articles
Ayet, A., Chapron, B., Redelsperger, J. L., Lapeyre, G., and Marié, L.: On the Impact of Long Wind-Waves on Near-Surface Turbulence and Momentum Fluxes, Bound.-Lay. Meteorol., 174, 465–491, https://doi.org/10.1007/s10546-019-00492-x, 2020.
Berthou, S., Mailler, S., Drobinski, P., Arsouze, T., Bastin, S., Béranger, K., Flaounas, E., Lebeaupin Brossier, C., Somot, S., and Stéfanon, M.: Influence of submonthly air–sea coupling on heavy precipitation events in the Western Mediterranean basin, Q. J. Roy. Meteor. Soc., 142, 453–471, https://doi.org/10.1002/qj.2717, 2016.
Briant, R., Tuccella, P., Deroubaix, A., Khvorostyanov, D., Menut, L., Mailler, S., and Turquety, S.: Aerosol–radiation interaction modelling using online coupling between the WRF 3.7.1 meteorological model and the CHIMERE 2016 chemistry-transport model, through the OASIS3-MCT coupler, Geosci. Model Dev., 10, 927–944, https://doi.org/10.5194/gmd-10-927-2017, 2017.
Cassano, J. J., DuVivier, A., Roberts, A., Hughes, M., Seefeldt, M., Brunke, M., Craig, A., Fisel, B., Gutowski, W., Hamman, J., Higgins, M., Maslowski, W., Nijssen, B., Osinski, R., and Zeng, X.: Development of the Regional Arctic System Model (RASM): Near-Surface Atmospheric Climate Sensitivity, J. Climate, 30, 5729–5753, https://doi.org/10.1175/JCLI-D-15-0775.1, 2017.
Charnock, H.: Wind stress on a water surface, Q. J. Roy. Meteorol. Soc., 81, 639–640, https://doi.org/10.1002/qj.49708135027, 1955.
Chen, S. S., Zhao, W., Donelan, M. A., and Tolman, H. L.: Directional Wind–Wave Coupling in Fully Coupled Atmosphere–Wave–Ocean Models: Results from CBLAST-Hurricane, J. Atmos. Sci., 70, 3198–3215, https://doi.org/10.1175/JAS-D-12-0157.1, 2013.
Craig, A., Valcke, S., and Coquart, L.: Development and performance of a new version of the OASIS coupler, OASIS3-MCT_3.0, Geosci. Model Dev., 10, 3297–3308, https://doi.org/10.5194/gmd-10-3297-2017, 2017.
Craig, A. P., Vertenstein, M., and Jacob, R.: A new flexible coupler for earth system modeling developed for CCSM4 and CESM1, Int. J. High Perform. C., 26, 31–42, https://doi.org/10.1177/1094342011428141, 2012.
Drennan, W. M., Taylor, P. K., and Yelland, M. J.: Parameterizing the Sea Surface Roughness, J. Phys. Oceanogr., 35, 835–848, https://doi.org/10.1175/JPO2704.1, 2005.
Drobinski, P., Anav, A., Lebeaupin Brossier, C., Samson, G., Stéfanon, M., Bastin, S., Baklouti, M., Béranger, K., Beuvier, J., Bourdallé-Badie, R., Coquart, L., D'Andrea, F., de Noblet-Ducoudré, N., Diaz, F., Dutay, J.-C., Ethe, C., Foujols, M.-A., Khvorostyanov, D., Madec, G., Mancip, M., Masson, S., Menut, L., Palmieri, J., Polcher, J., Turquety, S., Valcke, S., and Viovy, N.: Model of the Regional Coupled Earth system (MORCE): Application to process and climate studies in vulnerable regions, Environ. Model. Softw., 35, 1–18, https://doi.org/10.1016/j.envsoft.2012.01.017, 2012.
Drobinski, P., Bastin, S., Arsouze, T., Béranger, K., Flaounas, E., and Stéfanon, M.: North-western Mediterranean sea-breeze circulation in a regional climate system model, Clim. Dynam., 51, 1077–1093, https://doi.org/10.1007/s00382-017-3595-z, 2018.
Gévaudan, M., Jouanno, J., Durand, F., Morvan, G., Renault, L., and Samson, G.: Influence of ocean salinity stratification on the tropical Atlantic Ocean surface, Clim. Dynam., 57, 321–340, https://doi.org/10.1007/s00382-021-05713-z, 2021.
Guion, A., Turquety, S., Polcher, J., Pennel, R., Bastin, S., and Arsouze, T.: Droughts and heatwaves in the Western Mediterranean: impact on vegetation and wildfires using the coupled WRF-ORCHIDEE regional model (RegIPSL), Clim. Dynam., 58, 2881–2903, https://doi.org/10.1007/s00382-021-05938-y, 2022.
Hanke, M., Redler, R., Holfeld, T., and Yastremsky, M.: YAC 1.2.0: new aspects for coupling software in Earth system modelling, Geosci. Model Dev., 9, 2755–2769, https://doi.org/10.5194/gmd-9-2755-2016, 2016.
Hill, C., DeLuca, C., Balaji, Suarez, M., and Da Silva, A.: The architecture of the Earth System Modeling Framework, Comput. Sci. Eng., 6, 18–28, https://doi.org/10.1109/MCISE.2004.1255817, 2004.
Hong, S.-Y., Noh, Y., and Dudhia, J.: A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes, Mon. Weather Rev., 134, 2318–2341, https://doi.org/10.1175/MWR3199.1, 2006.
Hristov, T.: Mechanistic, empirical and numerical perspectives on wind-waves interaction, Procedia IUTAM, 26, 102–111, https://doi.org/10.1016/j.piutam.2018.03.010, 2018.
Janssen, P., Doyle, J., Bidlot, J.-R., Hansen, B., Isaksen, L., and Viterbo, P.: Impact and feedback of ocean waves on the atmosphere, ECMWF Technical Memoranda, 32, https://doi.org/10.21957/c1ey8zifx, 2001.
Jiménez, P. A., Dudhia, J., González-Rouco, J. F., Navarro, J., Montávez, J. P., and García-Bustamante, E.: A Revised Scheme for the WRF Surface Layer Formulation, Mon. Weather Rev., 140, 898–918, https://doi.org/10.1175/MWR-D-11-00056.1, 2012.
Jullien, S.: input files for CROCO-WW3-WRF-OASIS3-MCT coupled model, Zenodo [data set], https://doi.org/10.5281/zenodo.14235410, 2024a.
Jullien, S.: input files for CROCO-WRF-OASIS3-MCT coupled model with a nest in CROCO, Zenodo [data set], https://doi.org/10.5281/zenodo.14235450, 2024b
Jullien, S., Marchesiello, P., Menkes, C. E., Lefèvre, J., Jourdain, N. C., Samson, G., and Lengaigne, M.: Ocean feedback to tropical cyclones: climatology and processes, Clim. Dynam., 43, 2831–2854, https://doi.org/10.1007/s00382-014-2096-6, 2014.
Jullien, S., Masson, S., Oerder, V., Samson, G., Colas, F., and Renault, L.: Impact of Ocean–Atmosphere Current Feedback on Ocean Mesoscale Activity: Regional Variations and Sensitivity to Model Resolution, J. Climate, 33, 2585–2602, 2020.
Kayastha, M. B., Huang, C., Wang, J., Pringle, W. J., Chakraborty, T., Yang, Z., Hetland, R. D., Qian, Y., and Xue, P.: Insights on Simulating Summer Warming of the Great Lakes: Understanding the Behavior of a Newly Developed Coupled Lake-Atmosphere Modeling System, J. Adv. Model. Earth Sy., 15, e2023MS003620, https://doi.org/10.1029/2023MS003620, 2023.
Krishnamohan, K. S., Vialard, J., Lengaigne, M., Masson, S., Samson, G., Pous, S., Neetu, S., Durand, F., Shenoi, S. S. C., and Madec, G.: Is there an effect of Bay of Bengal salinity on the northern Indian Ocean climatological rainfall?, Deep-Sea Res. Pt. II, 166, 19–33, https://doi.org/10.1016/j.dsr2.2019.04.003, 2019.
Large, W. B.: Surface Fluxes for Practitioners of Global Ocean Data Assimilation, in: Ocean Weather Forecasting: An Integrated View of Oceanography, edited by: Chassignet, E. P. and Verron, J., Springer Netherlands, Dordrecht, 229–270, https://doi.org/10.1007/1-4020-4028-8_9, 2006.
Larrañaga, M., Renault, L., and Jouanno, J.: Partial Control of the Gulf of Mexico Dynamics by the Current Feedback to the Atmosphere, J. Phys. Oceanogr., 52, 2515–2530, https://doi.org/10.1175/JPO-D-21-0271.1, 2022.
Larson, J., Jacob, R., and Ong, E.: The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models, Int. J. High Perform. C., 19, 277–292, https://doi.org/10.1177/1094342005056115, 2005.
Lebeaupin Brossier, C., Bastin, S., Béranger, K., and Drobinski, P.: Regional mesoscale air–sea coupling impacts and extreme meteorological events role on the Mediterranean Sea water budget, Clim. Dynam., 44, 1029–1051, https://doi.org/10.1007/s00382-014-2252-z, 2015.
Lemarié, F.: Numerical modification of atmospheric models to include the feedback of oceanic currents on air-sea fluxes in ocean-atmosphere coupled models, report, INRIA Grenoble – Rhône-Alpes, Laboratoire Jean Kuntzmann, Universite de Grenoble I – Joseph Fourier, INRIA, hal-01184711, 2015.
Lemarié, F., Blayo, E., and Debreu, L.: Analysis of Ocean-atmosphere Coupling Algorithms: Consistency and Stability, Procedia Comput. Sci., 51, 2066–2075, https://doi.org/10.1016/j.procs.2015.05.473, 2015.
Lengaigne, M., Neetu, S., Samson, G., Vialard, J., Krishnamohan, K. S., Masson, S., Jullien, S., Suresh, I., and Menkes, C. E.: Influence of air–sea coupling on Indian Ocean tropical cyclones, Clim. Dynam., 52, 577–598, https://doi.org/10.1007/s00382-018-4152-0, 2019.
Liu, L., Yang, G., Wang, B., Zhang, C., Li, R., Zhang, Z., Ji, Y., and Wang, L.: C-Coupler1: a Chinese community coupler for Earth system modeling, Geosci. Model Dev., 7, 2281–2302, https://doi.org/10.5194/gmd-7-2281-2014, 2014.
Manabe, S. and Bryan, K.: Climate Calculations with a Combined Ocean-Atmosphere Model, J. Atmos. Sci., 26, 786–789, https://doi.org/10.1175/1520-0469(1969)026<0786:CCWACO>2.0.CO;2, 1969.
Masson, S., Jullien, S., Maisonnave, E., Gill, D., Samson, G., Le Corre, M., and Renault, L.: massonseb/WRF: oa3mct2.1.1 (oa3mct2.1.1), Zenodo [code], https://doi.org/10.5281/zenodo.13350615, 2024.
Moon, I.-J., Hara, T., Ginis, I., Belcher, S. E., and Tolman, H. L.: Effect of Surface Waves on Air–Sea Momentum Exchange. Part I: Effect of Mature and Growing Seas, J. Atmos. Sci., 61, 2321–2333, https://doi.org/10.1175/1520-0469(2004)061<2321:EOSWOA>2.0.CO;2, 2004.
Nakanishi, M. and Niino, H.: Development of an Improved Turbulence Closure Model for the Atmospheric Boundary Layer, Journal of the Meteorological Society of Japan. Ser. II, 87, 895–912, https://doi.org/10.2151/jmsj.87.895, 2009.
Neetu, S., Lengaigne, M., Vialard, J., Samson, G., Masson, S., Krishnamohan, K. S., and Suresh, I.: Premonsoon/Postmonsoon Bay of Bengal Tropical Cyclones Intensity: Role of Air-Sea Coupling and Large-Scale Background State, Geophys. Res. Lett., 46, 2149–2157, https://doi.org/10.1029/2018GL081132, 2019.
Oerder, V., Colas, F., Echevin, V., Masson, S., Hourdin, C., Jullien, S., Madec, G., and Lemarié, F.: Mesoscale SST–wind stress coupling in the Peru–Chile current system: Which mechanisms drive its seasonal variability?, Clim. Dynam., 47, 2309–2330, https://doi.org/10.1007/s00382-015-2965-7, 2016.
Oerder, V., Colas, F., Echevin, V., Masson, S., and Lemarié, F.: Impacts of the Mesoscale Ocean-Atmosphere Coupling on the Peru-Chile Ocean Dynamics: The Current-Induced Wind Stress Modulation, J. Geophys. Res.-Oceans, 123, 812–833, https://doi.org/10.1002/2017JC013294, 2018.
Olson, J. B., Tanya, S., Kenyon, Jaymes S., Turner, D. D., Brown, J. M., Zheng, W., and Green, B. W.: A Description of the MYNN Surface-Layer Scheme, https://doi.org/10.25923/F6A8-BC75, 2021.
Oost, W. A., Komen, G. J., Jacobs, C. M. J., and Van Oort, C.: New evidence for a relation between wind stress and wave age from measurements during ASGAMAGE, Bound.-Lay. Meteorol., 103, 409–438, https://doi.org/10.1023/A:1014913624535, 2002.
Panthou, G., Vrac, M., Drobinski, P., Bastin, S., and Li, L.: Impact of model resolution and Mediterranean sea coupling on hydrometeorological extremes in RCMs in the frame of HyMeX and MED-CORDEX, Clim. Dynam., 51, 915–932, https://doi.org/10.1007/s00382-016-3374-2, 2018.
Renault, L. and Marchesiello, P.: Ocean tides can drag the atmosphere and cause tidal winds over broad continental shelves, Commun. Earth Environ., 3, 1–7, https://doi.org/10.1038/s43247-022-00403-y, 2022.
Renault, L., Molemaker, M. J., Gula, J., Masson, S., and McWilliams, J. C.: Control and Stabilization of the Gulf Stream by Oceanic Current Interaction with the Atmosphere, J. Phys. Oceanogr., 46, 3439–3453, https://doi.org/10.1175/JPO-D-16-0115.1, 2016a.
Renault, L., Molemaker, M. J., McWilliams, J. C., Shchepetkin, A. F., Lemarié, F., Chelton, D., Illig, S., and Hall, A.: Modulation of Wind Work by Oceanic Current Interaction with the Atmosphere, J. Phys. Oceanogr., 46, 1685–1704, https://doi.org/10.1175/JPO-D-15-0232.1, 2016b.
Renault, L., McWilliams, J. C., and Penven, P.: Modulation of the Agulhas Current Retroflection and Leakage by Oceanic Current Interaction with the Atmosphere in Coupled Simulations, J. Phys. Oceanogr., 47, 2077–2100, https://doi.org/10.1175/JPO-D-16-0168.1, 2017.
Renault, L., McWilliams, J. C., and Gula, J.: Dampening of Submesoscale Currents by Air-Sea Stress Coupling in the Californian Upwelling System, Sci. Rep., 8, 13388, https://doi.org/10.1038/s41598-018-31602-3, 2018.
Renault, L., Masson, S., Oerder, V., Jullien, S., and Colas, F.: Disentangling the Mesoscale Ocean-Atmosphere Interactions, J. Geophys. Res.-Oceans, 124, 2164–2178, https://doi.org/10.1029/2018JC014628, 2019a.
Renault, L., Lemarié, F., and Arsouze, T.: On the implementation and consequences of the oceanic currents feedback in ocean–atmosphere coupled models, Ocean Model., 141, 101423, https://doi.org/10.1016/j.ocemod.2019.101423, 2019b.
Renault, L., Marchesiello, P., Masson, S., and McWilliams, J. C.: Remarkable Control of Western Boundary Currents by Eddy Killing, a Mechanical Air-Sea Coupling Process, Geophys. Res. Lett., 46, 2743–2751, https://doi.org/10.1029/2018GL081211, 2019c.
Renault, L., Masson, S., Arsouze, T., Madec, G., and McWilliams, J. C.: Recipes for How to Force Oceanic Model Dynamics, J. Adv. Model. Earth Sy., 12, e2019MS001715, https://doi.org/10.1029/2019MS001715, 2020.
Renault, L., Arsouze, T., and Ballabrera-Poy, J.: On the Influence of the Current Feedback to the Atmosphere on the Western Mediterranean Sea Dynamics, J. Geophys. Res.-Oceans, 126, e2020JC016664, https://doi.org/10.1029/2020JC016664, 2021.
Renault, L., Masson, S., Oerder, V., Colas, F., and McWilliams, J. C.: Modulation of the Oceanic Mesoscale Activity by the Mesoscale Thermal Feedback to the Atmosphere, J. Phys. Oceanogr., 53, 1651–1667, https://doi.org/10.1175/JPO-D-22-0256.1, 2023.
Ruti, P. M., Somot, S., Giorgi, F., Dubois, C., Flaounas, E., Obermann, A., Dell'Aquila, A., Pisacane, G., Harzallah, A., Lombardi, E., Ahrens, B., Akhtar, N., Alias, A., Arsouze, T., Aznar, R., Bastin, S., Bartholy, J., Béranger, K., Beuvier, J., Bouffies-Cloché, S., Brauch, J., Cabos, W., Calmanti, S., Calvet, J.-C., Carillo, A., Conte, D., Coppola, E., Djurdjevic, V., Drobinski, P., Elizalde-Arellano, A., Gaertner, M., Galàn, P., Gallardo, C., Gualdi, S., Goncalves, M., Jorba, O., Jordà, G., L'Heveder, B., Lebeaupin-Brossier, C., Li, L., Liguori, G., Lionello, P., Maciàs, D., Nabat, P., Önol, B., Raikovic, B., Ramage, K., Sevault, F., Sannino, G., Struglia, M. V., Sanna, A., Torma, C., and Vervatis, V.: Med-CORDEX Initiative for Mediterranean Climate Studies, B. Am. Meteorol. Soc., 97, 1187–1208, https://doi.org/10.1175/BAMS-D-14-00176.1, 2016.
Samelson, R. M., Durski, S. M., Chelton, D. B., Skyllingstad, E. D., and Barbour, P. L.: Surface Currents and Relative-Wind Stress in Coupled Ocean–Atmosphere Simulations of the Northern California Current System, Mon. Weather Rev., 152, 2033–2054, https://doi.org/10.1175/MWR-D-23-0279.1, 2024.
Samson, G., Masson, S., Lengaigne, M., Keerthi, M. G., Vialard, J., Pous, S., Madec, G., Jourdain, N. C., Jullien, S., Menkes, C., and Marchesiello, P.: The NOW regional coupled model: Application to the tropical Indian Ocean climate and tropical cyclone activity, J. Adv. Model. Earth Sy., 6, 700–722, https://doi.org/10.1002/2014MS000324, 2014.
Samson, G., Masson, S., Durand, F., Terray, P., Berthet, S., and Jullien, S.: Roles of land surface albedo and horizontal resolution on the Indian summer monsoon biases in a coupled ocean–atmosphere tropical-channel model, Clim. Dynam., 48, 1571–1594, https://doi.org/10.1007/s00382-016-3161-0, 2017.
Sauvage, C., Seo, H., Clayson, C. A., and Edson, J. B.: Improving Wave-Based Air-Sea Momentum Flux Parameterization in Mixed Seas, J. Geophys. Res.-Oceans, 128, e2022JC019277, https://doi.org/10.1029/2022JC019277, 2023.
Seo, H., O'Neill, L. W., Bourassa, M. A., Czaja, A., Drushka, K., Edson, J. B., Fox-Kemper, B., Frenger, I., Gille, S. T., Kirtman, B. P., Minobe, S., Pendergrass, A. G., Renault, L., Roberts, M. J., Schneider, N., Small, R. J., Stoffelen, A., and Wang, Q.: Ocean Mesoscale and Frontal-Scale Ocean–Atmosphere Interactions and Influence on Large-Scale Climate: A Review, J. Climate, 36, 1981–2013, https://doi.org/10.1175/JCLI-D-21-0982.1, 2023.
Skamarock, W. C.: Evaluating Mesoscale NWP Models Using Kinetic Energy Spectra, Mon. Weather Rev., 132, 3019–3032, https://doi.org/10.1175/MWR2830.1, 2004.
Skamarock, W. C. and Klemp, J. B.: A time-split nonhydrostatic atmospheric model for weather research and forecasting applications, J. Comput. Phys., 227, 3465–3485, https://doi.org/10.1016/j.jcp.2007.01.037, 2008.
Soloviev, Y. P. and Kudryavtsev, V. N.: Wind-Speed Undulations Over Swell: Field Experiment and Interpretation, Bound.-Lay. Meteorol., 136, 341–363, https://doi.org/10.1007/s10546-010-9506-z, 2010.
Sun, R., Subramanian, A. C., Miller, A. J., Mazloff, M. R., Hoteit, I., and Cornuelle, B. D.: SKRIPS v1.0: a regional coupled ocean–atmosphere modeling framework (MITgcm–WRF) using ESMF/NUOPC, description and preliminary results for the Red Sea, Geosci. Model Dev., 12, 4221–4244, https://doi.org/10.5194/gmd-12-4221-2019, 2019.
Taylor, P. K. and Yelland, M. J.: The Dependence of Sea Surface Roughness on the Height and Steepness of the Waves, J. Phys. Oceanogr., 31, 572–590, https://doi.org/10.1175/1520-0485(2001)031<0572:TDOSSR>2.0.CO;2, 2001.
Terray, P., Sooraj, K. P., Masson, S., Krishna, R. P. M., Samson, G., and Prajeesh, A. G.: Towards a realistic simulation of boreal summer tropical rainfall climatology in state-of-the-art coupled models: role of the background snow-free land albedo, Clim. Dynam., 50, 3413–3439, https://doi.org/10.1007/s00382-017-3812-9, 2018.
Tolman, H. L.: User manual and system documentation of WAVEWATCH III version 3.14, NOAA/NWS/NCEP/MMAB Technical Note 276, 194 pp., 2009.
Valcke, S.: The OASIS3 coupler: a European climate modelling community software, Geosci. Model Dev., 6, 373–388, https://doi.org/10.5194/gmd-6-373-2013, 2013.
Valcke, S.: Highlights from a Workshop on the Latest Updates on Coupling Technologies and Coupled Applications in Earth System Modeling, B. Am. Meteorol. Soc., 103, E657–E664, https://doi.org/10.1175/BAMS-D-21-0045.1, 2022.
Valcke, S., Craig, A., Maisonnave, É., and Coquart, L.: OASIS3-MCT User Guide, OASIS3-MCT 5.0, CERFACS, CERFACS TR/CMGC/21/161, 2021.
Warner, J. C., Armstrong, B., He, R., and Zambon, J. B.: Development of a Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) Modeling System, Ocean Model., 35, 230–244, https://doi.org/10.1016/j.ocemod.2010.07.010, 2010.
Zender, C. S.: Analysis of self-describing gridded geoscience data with netCDF Operators (NCO), Environ. Model. Softw., 23, 1338–1342, https://doi.org/10.1016/j.envsoft.2008.03.004, 2008.
Short summary
This article details a new feature we implemented in the popular regional atmospheric model WRF. This feature allows for data exchange between WRF and any other model (e.g. an ocean model) using the coupling library Ocean–Atmosphere–Sea–Ice–Soil Model Coupling Toolkit (OASIS3-MCT). This coupling interface is designed to be non-intrusive, flexible and modular. It also offers the possibility of taking into account the nested zooms used in WRF or in the models with which it is coupled.
This article details a new feature we implemented in the popular regional atmospheric model WRF....
