Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-20-2025
© 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/sp-5-opsr-20-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
02 Jun 2025
| OPSR | Chapter 8.1
| 02 Jun 2025 | OPSR | Chapter 8.1
Towards Earth system modelling: coupled ocean forecasting
Ségolène Berthou
CORRESPONDING AUTHOR
Met Office, Exeter, UK
John Siddorn
Data, Science and Technology, National Oceanography Centre, Southampton, UK
Vivian Fraser-Leonhardt
Met Office, Exeter, UK
Pierre-Yves Le Traon
Mercator Ocean International, Toulouse, France
Ibrahim Hoteit
Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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Observations of the ocean from satellites and platforms in the ocean are combined with information from computer models to produce predictions of how the ocean temperature, salinity, and currents will evolve over the coming days and weeks and to describe how the ocean has evolved in the past. This paper summarises the methods used to produce these ocean forecasts at various centres around the world and outlines the practical considerations for implementing such forecasting systems.
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Mike Bush, David L. A. Flack, Huw W. Lewis, Sylvia I. Bohnenstengel, Chris J. Short, Charmaine Franklin, Adrian P. Lock, Martin Best, Paul Field, Anne McCabe, Kwinten Van Weverberg, Segolene Berthou, Ian Boutle, Jennifer K. Brooke, Seb Cole, Shaun Cooper, Gareth Dow, John Edwards, Anke Finnenkoetter, Kalli Furtado, Kate Halladay, Kirsty Hanley, Margaret A. Hendry, Adrian Hill, Aravindakshan Jayakumar, Richard W. Jones, Humphrey Lean, Joshua C. K. Lee, Andy Malcolm, Marion Mittermaier, Saji Mohandas, Stuart Moore, Cyril Morcrette, Rachel North, Aurore Porson, Susan Rennie, Nigel Roberts, Belinda Roux, Claudio Sanchez, Chun-Hsu Su, Simon Tucker, Simon Vosper, David Walters, James Warner, Stuart Webster, Mark Weeks, Jonathan Wilkinson, Michael Whitall, Keith D. Williams, and Hugh Zhang
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Revised manuscript accepted for GMD
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RAL configurations define settings for the Unified Model atmosphere and Joint UK Land Environment Simulator. The third version of the Regional Atmosphere and Land (RAL3) science configuration for kilometre and sub-km scale modelling represents a major advance compared to previous versions (RAL2) by delivering a common science definition for applications in tropical and mid-latitude regions. RAL3 has more realistic precipitation distributions and improved representation of clouds and visibility.
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Medicane Ianos was a very intense cyclone that led to harmful impacts over Greece. We explore what processes are important for the forecasting of Medicane Ianos, with the use of the Met Office weather model. There was a preceding precipitation event before Ianos’s birth, whose energetics generated a bubble in the tropopause. This bubble created the necessary conditions for Ianos to emerge and strengthen, and the processes are enhanced in simulations with a warmer Mediterranean Sea.
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Mounir Benkiran, Pierre-Yves Le Traon, Elisabeth Rémy, and Yann Drillet
EGUsphere, https://doi.org/10.5194/egusphere-2024-420, https://doi.org/10.5194/egusphere-2024-420, 2024
Preprint archived
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The assimilation of altimetry data corrects and improves the forecast of a global ocean forecasting system. Until now, the use of altimetry observations from nadir altimeters has had a major impact on the quality of ocean forecasts. Our study shows that the use of observations from swath altimeters will have a greater impact than the quality of these forecasts and will better constrain mesoscale structures.
Karina von Schuckmann, Lorena Moreira, and Pierre-Yves Le Traon
State Planet, 1-osr7, 1, https://doi.org/10.5194/sp-1-osr7-1-2023, https://doi.org/10.5194/sp-1-osr7-1-2023, 2023
Stefania A. Ciliberti, Enrique Alvarez Fanjul, Jay Pearlman, Kirsten Wilmer-Becker, Pierre Bahurel, Fabrice Ardhuin, Alain Arnaud, Mike Bell, Segolene Berthou, Laurent Bertino, Arthur Capet, Eric Chassignet, Stefano Ciavatta, Mauro Cirano, Emanuela Clementi, Gianpiero Cossarini, Gianpaolo Coro, Stuart Corney, Fraser Davidson, Marie Drevillon, Yann Drillet, Renaud Dussurget, Ghada El Serafy, Katja Fennel, Marcos Garcia Sotillo, Patrick Heimbach, Fabrice Hernandez, Patrick Hogan, Ibrahim Hoteit, Sudheer Joseph, Simon Josey, Pierre-Yves Le Traon, Simone Libralato, Marco Mancini, Pascal Matte, Angelique Melet, Yasumasa Miyazawa, Andrew M. Moore, Antonio Novellino, Andrew Porter, Heather Regan, Laia Romero, Andreas Schiller, John Siddorn, Joanna Staneva, Cecile Thomas-Courcoux, Marina Tonani, Jose Maria Garcia-Valdecasas, Jennifer Veitch, Karina von Schuckmann, Liying Wan, John Wilkin, and Romane Zufic
State Planet, 1-osr7, 2, https://doi.org/10.5194/sp-1-osr7-2-2023, https://doi.org/10.5194/sp-1-osr7-2-2023, 2023
Rui Sun, Alison Cobb, Ana B. Villas Bôas, Sabique Langodan, Aneesh C. Subramanian, Matthew R. Mazloff, Bruce D. Cornuelle, Arthur J. Miller, Raju Pathak, and Ibrahim Hoteit
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In this work, we integrated the WAVEWATCH III model into the regional coupled model SKRIPS. We then performed a case study using the newly implemented model to study Tropical Cyclone Mekunu, which occurred in the Arabian Sea. We found that the coupled model better simulates the cyclone than the uncoupled model, but the impact of waves on the cyclone is not significant. However, the waves change the sea surface temperature and mixed layer, especially in the cold waves produced due to the cyclone.
Juan Manuel Castillo, Huw W. Lewis, Akhilesh Mishra, Ashis Mitra, Jeff Polton, Ashley Brereton, Andrew Saulter, Alex Arnold, Segolene Berthou, Douglas Clark, Julia Crook, Ananda Das, John Edwards, Xiangbo Feng, Ankur Gupta, Sudheer Joseph, Nicholas Klingaman, Imranali Momin, Christine Pequignet, Claudio Sanchez, Jennifer Saxby, and Maria Valdivieso da Costa
Geosci. Model Dev., 15, 4193–4223, https://doi.org/10.5194/gmd-15-4193-2022, https://doi.org/10.5194/gmd-15-4193-2022, 2022
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M. G. Ziliani, M. U. Altaf, B. Aragon, R. Houborg, T. E. Franz, Y. Lu, J. Sheffield, I. Hoteit, and M. F. McCabe
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Mounir Benkiran, Pierre-Yves Le Traon, and Gérald Dibarboure
Ocean Sci., 18, 609–625, https://doi.org/10.5194/os-18-609-2022, https://doi.org/10.5194/os-18-609-2022, 2022
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The SSH analysis and 7 d forecast error will be globally reduced by almost 50 %. Surface current forecast errors should be equivalent to today’s surface current analysis errors or alternatively will be improved (variance error reduction) by 30 % at the surface and 50 % for 300 m depth.
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Oliver Miguel López Valencia, Kasper Johansen, Bruno José Luis Aragón Solorio, Ting Li, Rasmus Houborg, Yoann Malbeteau, Samer AlMashharawi, Muhammad Umer Altaf, Essam Mohammed Fallatah, Hari Prasad Dasari, Ibrahim Hoteit, and Matthew Francis McCabe
Hydrol. Earth Syst. Sci., 24, 5251–5277, https://doi.org/10.5194/hess-24-5251-2020, https://doi.org/10.5194/hess-24-5251-2020, 2020
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The agricultural sector in Saudi Arabia has expanded rapidly over the last few decades, supported by non-renewable groundwater abstraction. This study describes a novel data–model fusion approach to compile national-scale groundwater abstractions and demonstrates its use over 5000 individual center-pivot fields. This method will allow both farmers and water management agencies to make informed water accounting decisions across multiple spatial and temporal scales.
Marie-Estelle Demory, Ségolène Berthou, Jesús Fernández, Silje L. Sørland, Roman Brogli, Malcolm J. Roberts, Urs Beyerle, Jon Seddon, Rein Haarsma, Christoph Schär, Erasmo Buonomo, Ole B. Christensen, James M. Ciarlo ̀, Rowan Fealy, Grigory Nikulin, Daniele Peano, Dian Putrasahan, Christopher D. Roberts, Retish Senan, Christian Steger, Claas Teichmann, and Robert Vautard
Geosci. Model Dev., 13, 5485–5506, https://doi.org/10.5194/gmd-13-5485-2020, https://doi.org/10.5194/gmd-13-5485-2020, 2020
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Now that global climate models (GCMs) can run at similar resolutions to regional climate models (RCMs), one may wonder whether GCMs and RCMs provide similar regional climate information. We perform an evaluation for daily precipitation distribution in PRIMAVERA GCMs (25–50 km resolution) and CORDEX RCMs (12–50 km resolution) over Europe. We show that PRIMAVERA and CORDEX simulate similar distributions. Considering both datasets at such a resolution results in large benefits for impact studies.
Rui Sun, Aneesh C. Subramanian, Arthur J. Miller, Matthew R. Mazloff, Ibrahim Hoteit, and Bruce D. Cornuelle
Geosci. Model Dev., 12, 4221–4244, https://doi.org/10.5194/gmd-12-4221-2019, https://doi.org/10.5194/gmd-12-4221-2019, 2019
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A new regional coupled ocean–atmosphere model, SKRIPS, is developed and presented. The oceanic component is the MITgcm and the atmospheric component is the WRF model. The coupler is implemented using ESMF according to NUOPC protocols. SKRIPS is demonstrated by simulating a series of extreme heat events occurring in the Red Sea region. We show that SKRIPS is capable of performing coupled ocean–atmosphere simulations. In addition, the scalability test shows SKRIPS is computationally efficient.
Antonio Bonaduce, Mounir Benkiran, Elisabeth Remy, Pierre Yves Le Traon, and Gilles Garric
Ocean Sci., 14, 1405–1421, https://doi.org/10.5194/os-14-1405-2018, https://doi.org/10.5194/os-14-1405-2018, 2018
Jean-Michel Lellouche, Eric Greiner, Olivier Le Galloudec, Gilles Garric, Charly Regnier, Marie Drevillon, Mounir Benkiran, Charles-Emmanuel Testut, Romain Bourdalle-Badie, Florent Gasparin, Olga Hernandez, Bruno Levier, Yann Drillet, Elisabeth Remy, and Pierre-Yves Le Traon
Ocean Sci., 14, 1093–1126, https://doi.org/10.5194/os-14-1093-2018, https://doi.org/10.5194/os-14-1093-2018, 2018
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In the coming decades, a strong growth of the ocean economy is expected. Scientific advances in operational oceanography will play a crucial role in addressing many environmental challenges and in the development of ocean-related economic activities. In this context, remarkable improvements have been achieved with the current Mercator Ocean system. 3-D water masses, sea level, sea ice and currents have been improved, and thus major oceanic variables are hard to distinguish from the data.
Hugo Cruz-Jiménez, Guotu Li, Paul Martin Mai, Ibrahim Hoteit, and Omar M. Knio
Geosci. Model Dev., 11, 3071–3088, https://doi.org/10.5194/gmd-11-3071-2018, https://doi.org/10.5194/gmd-11-3071-2018, 2018
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One of the most important challenges seismologists and earthquake engineers face is reliably estimating ground motion in an area prone to large damaging earthquakes. This study aimed at better understanding the relationship between characteristics of geological faults (e.g., hypocenter location, rupture size/location, etc.) and resulting ground motion, via statistical analysis of a rupture simulation model. This study provides important insight on ground-motion responses to geological faults.
Simon Verrier, Pierre-Yves Le Traon, and Elisabeth Remy
Ocean Sci., 13, 1077–1092, https://doi.org/10.5194/os-13-1077-2017, https://doi.org/10.5194/os-13-1077-2017, 2017
Khan Zaib Jadoon, Muhammad Umer Altaf, Matthew Francis McCabe, Ibrahim Hoteit, Nisar Muhammad, Davood Moghadas, and Lutz Weihermüller
Hydrol. Earth Syst. Sci., 21, 5375–5383, https://doi.org/10.5194/hess-21-5375-2017, https://doi.org/10.5194/hess-21-5375-2017, 2017
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In this study electromagnetic induction (EMI) measurements were used to estimate soil salinity in an agriculture field irrigated with a drip irrigation system. Electromagnetic model parameters and uncertainty were estimated using adaptive Bayesian Markov chain Monte Carlo (MCMC). Application of the MCMC-based inversion to the synthetic and field measurements demonstrates that the parameters of the model can be well estimated for the saline soil as compared to the non-saline soil.
Mohamad E. Gharamti, Johan Valstar, Gijs Janssen, Annemieke Marsman, and Ibrahim Hoteit
Hydrol. Earth Syst. Sci., 20, 4561–4583, https://doi.org/10.5194/hess-20-4561-2016, https://doi.org/10.5194/hess-20-4561-2016, 2016
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The paper addresses the issue of sampling errors when using the ensemble Kalman filter, in particular its hybrid and second-order formulations. The presented work is aimed at estimating concentration and biodegradation rates of subsurface contaminants at the port of Rotterdam in the Netherlands. Overall, we found that accounting for both forecast and observation sampling errors in the joint data assimilation system helps recover more accurate state and parameter estimates.
Boujemaa Ait-El-Fquih, Mohamad El Gharamti, and Ibrahim Hoteit
Hydrol. Earth Syst. Sci., 20, 3289–3307, https://doi.org/10.5194/hess-20-3289-2016, https://doi.org/10.5194/hess-20-3289-2016, 2016
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We derive a new dual ensemble Kalman filter (EnKF) for state-parameter estimation. The derivation is based on the one-step-ahead smoothing formulation, and unlike the standard dual EnKF, it is consistent with the Bayesian formulation of the state-parameter estimation problem and uses the observations in both state smoothing and forecast. This is shown to enhance the performance and robustness of the dual EnKF in experiments conducted with a two-dimensional synthetic groundwater aquifer model.
V. Turpin, E. Remy, and P. Y. Le Traon
Ocean Sci., 12, 257–274, https://doi.org/10.5194/os-12-257-2016, https://doi.org/10.5194/os-12-257-2016, 2016
Short summary
Short summary
Argo profiling floats are continuously sampling the world ocean, providing temperature and salinity profiles of up to 2000 m depths. This article addresses the impact of the current Argo array on real-time ocean analyses and forecasts. One-year observing system experiments were carried out with the 0.25° global Mercator Ocean monitoring and forecasting system. The improvement due to the assimilation of the Argo profiles is estimated globally and regionally, showing a significant positive impact.
F. Ninove, P.-Y. Le Traon, E. Remy, and S. Guinehut
Ocean Sci., 12, 1–7, https://doi.org/10.5194/os-12-1-2016, https://doi.org/10.5194/os-12-1-2016, 2016
Short summary
Short summary
Argo floats are one of the main components of the in situ observation network in the ocean. Nowadays, more than 3500 profiling floats are sampling the world ocean. In this study, they are used to characterize spatial scales of temperature and salinity variations from the surface down to 1500m. The scales appear to be anisotropic and vary from about 100km at high latitudes to 700km in the Indian and Pacific equatorial and tropical regions.
K. von Schuckmann, J.-B. Sallée, D. Chambers, P.-Y. Le Traon, C. Cabanes, F. Gaillard, S. Speich, and M. Hamon
Ocean Sci., 10, 547–557, https://doi.org/10.5194/os-10-547-2014, https://doi.org/10.5194/os-10-547-2014, 2014
P. Y. Le Traon
Ocean Sci., 9, 901–915, https://doi.org/10.5194/os-9-901-2013, https://doi.org/10.5194/os-9-901-2013, 2013
Cited articles
Alari, V., Staneva, J., Breivik, Ø., Bidlot, J.-R., Mogensen, K., and Janssen, P.: Surface wave effects on water temperature in the Baltic Sea: simulations with the coupled NEMO-WAM model, Ocean Dynam., 66, 917–930, https://doi.org/10.1007/s10236-016-0963-x, 2016.
Allard, R. A., Smith, T. A., Jensen, T. G., Chu, P. Y., Rogers, E., Campbell, T. J., Gravois, U. M., Carroll, S. N., Watson, K., and Gaberšek, S.: Validation test report for the coupled ocean/atmosphere mesoscale prediction system (COAMPS) version 5.0: Ocean/wave component validation, Naval Research Laboratory, 99, Rep. NRL/MR/7320-10, 2012.
Azaneu, M., Matthews, A. J., and Baranowski, D. B.: Subsurface Oceanic Structure Associated With Atmospheric Convectively Coupled Equatorial Kelvin Waves in the Eastern Indian Ocean, J. Geophys. Res.-Oceans, 126, e2021JC017171, https://doi.org/10.1029/2021JC017171, 2021.
Bao, D., Xue, Z. G., and Warner, J. C.: Quantifying Compound and Nonlinear Effects of Hurricane-Induced Flooding Using a Dynamically Coupled Hydrological-Ocean Model, Water Resour. Res., 60, e2023WR036455, https://doi.org/10.1029/2023WR036455, 2024.
Berthou, S., Mailler, S., Drobinski, P., Arsouze, T., Bastin, S., Béranger, K., and Lebeaupin Brossier, C.: Lagged effects of the Mistral wind on heavy precipitation through ocean-atmosphere coupling in the region of Valencia (Spain), Clim. Dynam., 51, 969–983, https://doi.org/10.1007/s00382-016-3153-0, 2018.
Berthou, S., Renshaw, R., Smyth, T., Tinker, J., Grist, J. P., Wihsgott, J. U., Jones, S., Inall, M., Nolan, G., Berx, B., Arnold, A., Blunn, L. P., Castillo, J. M., Cotterill, D., Daly, E., Dow, G., Gómez, B., Fraser-Leonhardt, V., Hirschi, J. J.-M., Lewis, H., Mahmood, S., and Worsfold, M.: Exceptional atmospheric conditions in June 2023 generated a northwest European marine heatwave which contributed to breaking land temperature records, Communications Earth & Environment, 5, 287, https://doi.org/10.1038/s43247-024-01413-8, 2024.
Best, M. J., Beljaars, A., Polcher, J., and Viterbo, P.: A Proposed Structure for Coupling Tiled Surfaces with the Planetary Boundary Layer, J. Hydrometeorol., 5, 1271–1278, https://doi.org/10.1175/JHM-382.1, 2004.
Bianco, L., Bao, J.-W., Fairall, C. W., and Michelson, S. A.: Impact of Sea-Spray on the Atmospheric Surface Layer, Bound.-Lay. Meteorol., 140, 361–381, https://doi.org/10.1007/s10546-011-9617-1, 2011.
Bouin, M.-N. and Lebeaupin Brossier, C.: Impact of a medicane on the oceanic surface layer from a coupled, kilometre-scale simulation, Ocean Sci., 16, 1125–1142, https://doi.org/10.5194/os-16-1125-2020, 2020a.
Bouin, M.-N. and Lebeaupin Brossier, C.: Surface processes in the 7 November 2014 medicane from air–sea coupled high-resolution numerical modelling, Atmos. Chem. Phys., 20, 6861–6881, https://doi.org/10.5194/acp-20-6861-2020, 2020b.
Bouin, M.-N., Lebeaupin Brossier, C., Malardel, S., Voldoire, A., and Sauvage, C.: The wave-age-dependent stress parameterisation (WASP) for momentum and heat turbulent fluxes at sea in SURFEX v8.1, Geosci. Model Dev., 17, 117–141, https://doi.org/10.5194/gmd-17-117-2024, 2024.
Brassington, G. B., Martin, M. J., Tolman, H. L., Akella, S., Balmeseda, M., Chambers, C. R. S., Chassignet, E., Cummings, J. A., Drillet, Y., Jansen, P. A. E. M., Laloyaux, P., Lea, D., Mehra, A., Mirouze, I., Ritchie, H., Samson, G., Sandery, P. A., Smith, G. C., Suarez, M., and Todling, R.: Progress and challenges in short- to medium-range coupled prediction, J. Oper. Oceanogr., 8, s239–s258, https://doi.org/10.1080/1755876X.2015.1049875, 2015.
Bruciaferri, D., Tonani, M., Lewis, H. W., Siddorn, J. R., Saulter, A., Castillo Sanchez, J. M., Valiente, N. G., Conley, D., Sykes, P., Ascione, I., and McConnell, N.: The Impact of Ocean-Wave Coupling on the Upper Ocean Circulation During Storm Events. J. Geophys. Res.-Oceans, 126, e2021JC017343, https://doi.org/10.1029/2021JC017343, 2021.
Bruggeman, J. and Bolding, K.: A general framework for aquatic biogeochemical models, Environ. Model. Softw., 61, 249–265, https://doi.org/10.1016/j.envsoft.2014.04.002, 2014.
Castillo, J. M., Lewis, H. W., Mishra, A., Mitra, A., Polton, J., Brereton, A., Saulter, A., Arnold, A., Berthou, S., Clark, D., Crook, J., Das, A., Edwards, J., Feng, X., Gupta, A., Joseph, S., Klingaman, N., Momin, I., Pequignet, C., Sanchez, C., Saxby, J., and Valdivieso da Costa, M.: The Regional Coupled Suite (RCS-IND1): application of a flexible regional coupled modelling framework to the Indian region at kilometre scale, Geosci. Model Dev., 15, 4193–4223, https://doi.org/10.5194/gmd-15-4193-2022, 2022.
Corale, L., Malardel, S., Bielli, S., and Bouin, M.-N.: Evaluation of a Mesoscale Coupled Ocean-Atmosphere Configuration for Tropical Cyclone Forecasting in the South West Indian Ocean Basin, Earth and Space Science, 10, e2022EA002584, https://doi.org/10.1029/2022EA002584, 2023.
Couvelard, X., Lemarié, F., Samson, G., Redelsperger, J.-L., Ardhuin, F., Benshila, R., and Madec, G.: Development of a two-way-coupled ocean–wave model: assessment on a global NEMO(v3.6)–WW3(v6.02) coupled configuration, Geosci. Model Dev., 13, 3067–3090, https://doi.org/10.5194/gmd-13-3067-2020, 2020.
Dawe, J. T. and Thompson, L.: Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean, Geophys. Res. Lett., 33, L09604, https://doi.org/10.1029/2006GL025784, 2006.
Droettboom, M., Caswell, T. A., Hunter, J., Firing, E., Hedegaard Nielsen, J., Varoquaux, N., Root, B., Elson, P., Dale, D., Lee, J.-J., Sales de Andrade, E., Seppänen, J. K., McDougall, D., May, R., Lee, A., Straw, A., Stansby, D., Hobson, P., Yu, T. S., Ma, E., Gohlke, C., Silvester, S., Moad, C., Schulz, J., Vincent, A. F., Würtz, P., Ariza, F., Cimarron, Hisch, T., and Kniazev, N.: matplotlib/matplotlib v2.0.2, Zenodo [code], https://doi.org/10.5281/zenodo.573577, 2017.
Durnford, D., Fortin, V., Smith, G. C., Archambault, B., Deacu, D., Dupont, F., Dyck, S., Martinez, Y., Klyszejko, E., MacKay, M., Liu, L., Pellerin, P., Pietroniro, A., Roy, F., Vu, V., Winter, B., Yu, W., Spence, C., Bruxer, J., and Dickhout, J.: Toward an Operational Water Cycle Prediction System for the Great Lakes and St. Lawrence River, B. Am. Meteorol. Soc., 99, 521–546, https://doi.org/10.1175/BAMS-D-16-0155.1, 2018.
Fallmann, J., Lewis, H., Sanchez, J. C., and Lock, A.: Impact of high-resolution ocean–atmosphere coupling on fog formation over the North Sea, Q. J. Roy. Meteor. Soc., 145, 1180–1201, https://doi.org/10.1002/qj.3488, 2019.
Feng, X., Klingaman, N. P., and Hodges, K. I.: The effect of atmosphere–ocean coupling on the prediction of 2016 western North Pacific tropical cyclones, Q. J. Roy. Meteor. Soc., 145, 2425–2444, https://doi.org/10.1002/qj.3571, 2019.
Fu, D., Small, J., Kurian, J., Liu, Y., Kauffman, B., Gopal, A., Ramachandran, S., Shang, Z., Chang, P., Danabasoglu, G., Thayer-Calder, K., Vertenstein, M., Ma, X., Yao, H., Li, M., Xu, Z., Lin, X., Zhang, S., and Wu, L.: Introducing the New Regional Community Earth System Model, R-CESM, B. Am. Meteorol. Soc., 102, E1821–E1843, https://doi.org/10.1175/BAMS-D-20-0024.1, 2021
Fu, J.-X., Wang, W., Shinoda, T., Ren, H.-L., and Jia, X.: Toward Understanding the Diverse Impacts of Air-Sea Interactions on MJO Simulations, J. Geophys. Res.-Oceans, 122, 8855–8875, https://doi.org/10.1002/2017JC013187, 2017.
Gentile, E. S., Gray, S. L., and Lewis, H. W.: The sensitivity of probabilistic convective-scale forecasts of an extratropical cyclone to atmosphere–ocean–wave coupling, Q. J. Roy. Meteor. Soc., 148, 685–710, https://doi.org/10.1002/qj.4225, 2022.
Grayek, S., Wiese, A., Ho-Hagemann, H. T. M., and Staneva, J.: Added value of including waves into a coupled atmosphere–ocean model system within the North Sea area, Front. Mar. Sci., 10, 2296–7745, https://doi.org/10.3389/fmars.2023.1104027, 2023.
Guiavarc'h, C., Roberts-Jones, J., Harris, C., Lea, D. J., Ryan, A., and Ascione, I.: Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system, Ocean Sci., 15, 1307–1326, https://doi.org/10.5194/os-15-1307-2019, 2019.
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.
Hardiman, S. C., Dunstone, N. J., Scaife, A. A., Smith, D. M., Ineson, S., Lim, J., and Fereday, D.: The Impact of Strong El Niño and La Niña Events on the North Atlantic, Geophys. Res. Lett., 46, 2874–2883, https://doi.org/10.1029/2018GL081776, 2019.
Iris contributors: Iris (v3.12.0), Zenodo [code], https://doi.org/10.5281/zenodo.15077277, 2025.
Karlowska, E., Matthews, A. J., Webber, B. G. M., Graham, T., and Xavier, P.: The effect of diurnal warming of sea-surface temperatures on the propagation speed of the Madden–Julian oscillation, Q. J. Roy. Meteor. Soc., 150, 334–354, https://doi.org/10.1002/qj.4599, 2023.
Kim, H. M., Webster, P. J., and Curry, J. A.: Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter, Clim. Dynam., 39, 2957–2973, https://doi.org/10.1007/s00382-012-1364-6, 2012.
Komaromi, W. A., Reinecke, P. A., Doyle, J. D., and Moskaitis, J. R.: The Naval Research Laboratory's Coupled Ocean–Atmosphere Mesoscale Prediction System-Tropical Cyclone Ensemble (COAMPS-TC Ensemble), Weather Forecast., 36, 499–517, https://doi.org/10.1175/WAF-D-20-0038.1, 2021.
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.
Lea, D. J., While, J., Martin, M. J., Weaver, A., Storto, A., and Chrust, M.: A new global ocean ensemble system at the Met Office: Assessing the impact of hybrid data assimilation and inflation settings, Q. J. Roy. Meteor. Soc., 148, 1996–2030, https://doi.org/10.1002/qj.4292, 2022.
Lebeaupin Brossier, C., Drobinski, P., Béranger, P. K., Bastin, S., and Orain, F.: Ocean memory effect on the dynamics of coastal heavy precipitation preceded by a mistral event in the northwestern Mediterranean, Q. J. Roy. Meteor. Soc., 139, 1583–1897, https://doi.org/10.1002/qj.2049, 2012.
Lemarié, F., Samson, G., Redelsperger, J.-L., Giordani, H., Brivoal, T., and Madec, G.: A simplified atmospheric boundary layer model for an improved representation of air–sea interactions in eddying oceanic models: implementation and first evaluation in NEMO (4.0), Geosci. Model Dev., 14, 543–572, https://doi.org/10.5194/gmd-14-543-2021, 2021.
Lewis, H. W., Castillo Sanchez, J. M., Arnold, A., Fallmann, J., Saulter, A., Graham, J., Bush, M., Siddorn, J., Palmer, T., Lock, A., Edwards, J., Bricheno, L., Martínez-de la Torre, A., and Clark, J.: The UKC3 regional coupled environmental prediction system, Geosci. Model Dev., 12, 2357–2400, https://doi.org/10.5194/gmd-12-2357-2019, 2019a.
Lewis, H. W., Castillo Sanchez, J. M., Siddorn, J., King, R. R., Tonani, M., Saulter, A., Sykes, P., Pequignet, A.-C., Weedon, G. P., Palmer, T., Staneva, J., and Bricheno, L.: Can wave coupling improve operational regional ocean forecasts for the north-west European Shelf?, Ocean Sci., 15, 669–690, https://doi.org/10.5194/os-15-669-2019, 2019b.
Mahmood, S., Lewis, H., Arnold, A., Castillo, J., Sanchez, C., and Harris, C.: The impact of time-varying sea surface temperature on UK regional atmosphere forecasts, Meteorol. Appl., 28, e1983, https://doi.org/10.1002/met.1983, 2021.
Martín, M. L., Calvo-Sancho, C., Taszarek, M., González-Alemán, J. J., Montoro-Mendoza, A., Díaz-Fernández, J., Bolgiani, P., Sastre, M., and Martín, Y.: Major Role of Marine Heatwave and Anthropogenic Climate Change on a Giant Hail Event in Spain, Geophys. Res. Lett., 51, e2023GL107632, https://doi.org/10.1029/2023GL107632, 2024.
Mogensen, K. S., Magnusson, L., and Bidlot, J.-R.: Tropical cyclone sensitivity to ocean coupling in the ECMWF coupled model, J. Geophys. Res.-Ocean, 122, 4392–4412, https://doi.org/10.1002/2017JC012753, 2017.
Mulcahy, J. P., Jones, C. G., Rumbold, S. T., Kuhlbrodt, T., Dittus, A. J., Blockley, E. W., Yool, A., Walton, J., Hardacre, C., Andrews, T., Bodas-Salcedo, A., Stringer, M., de Mora, L., Harris, P., Hill, R., Kelley, D., Robertson, E., and Tang, Y.: UKESM1.1: development and evaluation of an updated configuration of the UK Earth System Model, Geosci. Model Dev., 16, 1569–1600, https://doi.org/10.5194/gmd-16-1569-2023, 2023.
Penny, S. G. and Hamill, T. M.: Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges, and Recommendations, B. Am. Meteorol. Soc., 98, ES169–ES172, https://www.jstor.org/stable/26243775 (last access: 26 March 2025), 2017.
Peterson, K. A., Smith, G. C., Lemieux, J.-F., Roy, F., Buehner, M., Caya, A., Houtekamer, P. L., Lin, H., Muncaster, R., Deng, X., Dupont, F., Gagnon, N., Hata, Y., Martinez, Y., Fontecilla, J. S., and Surcel-Colan, D.: Understanding sources of Northern Hemisphere uncertainty and forecast error in a medium-range coupled ensemble sea-ice prediction system, Q. J. Roy. Meteor. Soc., 148, 2877–2902, https://doi.org/10.1002/qj.4340, 2022.
Phillipson, L., Li, Y., and Toumi, R.: Strongly Coupled Assimilation of a Hypothetical Ocean Current Observing Network within a Regional Ocean–Atmosphere Coupled Model: An OSSE Case Study of Typhoon Hato, Mon. Weather Rev., 149, 1317–1336, https://doi.org/10.1175/MWR-D-20-0108.1, 2021.
Pianezze, J., Beuvier, J., Lebeaupin Brossier, C., Samson, G., Faure, G., and Garric, G.: Development of a forecast-oriented kilometre-resolution ocean–atmosphere coupled system for western Europe and sensitivity study for a severe weather situation, Nat. Hazards Earth Syst. Sci., 22, 1301–1324, https://doi.org/10.5194/nhess-22-1301-2022, 2022.
Renault, L. and Marchesiello, P.: Ocean tides can drag the atmosphere and cause tidal winds over broad continental shelves, Communications Earth & Environment, 3, 70, https://doi.org/10.1038/s43247-022-00403-y, 2022.
Renault, L., Molemaker, M. J., McWilliams, J. C., Shchepetkin, A. F., Lamarie', 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, 2016.
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., 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, 2019.
Ruti, P. M., Tarasova, O., Keller, J. H., Carmichael, G., Hov, Ø., Jones, S. C., Terblanche, D., Anderson-Lefale, C., Barros, A. P., Bauer, P., Bouchet, V., Brasseur, G., Brunet, G., DeCola, P., Dike, V., Kane, M. D., Gan, C., Gurney, K. R., Hamburg, S., Hazeleger, W., Jean, M., Johnston, D., Lewis, A., Li, P., Liang, X., Lucarini, V., Lynch, A., Manaenkova, E., Jae-Cheol N., Ohtake, S., Pinardi, N., Polcher J., Ritchie, E., Sakya A. E., Saulo C., Singhee A., Sopaheluwakan, A., Steiner, A., Thorpe, A., and Yamaji, M.: Advancing Research for Seamless Earth System Prediction, B. Am. Meteorol. Soc., 101, E23–E35, https://doi.org/10.1175/BAMS-D-17-0302.1, 2020.
Sauvage, C., Lebeaupin Brossier, C., and Bouin, M.-N.: Towards kilometer-scale ocean–atmosphere–wave coupled forecast: a case study on a Mediterranean heavy precipitation event, Atmos. Chem. Phys., 21, 11857–11887, https://doi.org/10.5194/acp-21-11857-2021, 2021.
Sauvage, C., Lebeaupin Brossier, C., Ducrocq, V., Bouin, M.-N., Vincendon, B., Verdecchia, M., Taupier-Letage, I., and Orain F.: Impact of the representation of the freshwater river input in the Western Mediterranean Sea, Ocean Model., 131, 115–131, https://doi.org/10.1016/j.ocemod.2018.09.005, 2018.
Shapiro, M. A., Shukla, J., Brunet, G., Nobre, C., Belánd, M., Dole, R., Trenberth, K., Anthes, R., Asrar, G., Barrie, L., Bougeault, P., Brasseur, G., Burridge, D., Busalacchi, A., Caughey, J., Chen, D., Church, J., Enomoto, T., Hoskins, B., Hov, Ø., Laing, A., Le Treut, H., Marotzke, J., Mc Bean, G., Meehl, G., Miller, M., Mills, B., Mitchell, J., Moncrieff, M., Nakazawa, T., Olafsson, H., Palmer, T., Parsons, D., Rogers, D., Simmons, A., Troccoli, A., Toth, Z., Uccellini, L., Velden, C., and Wallace, J. M.: An Earth-system prediction initiative for the twenty-first century, B. Am. Meteorol. Soc., 91, 1377–1388, https://doi.org/10.1175/2010BAMS2944.1, 2010.
Skákala, J., Bruggeman, J., Ford, D., Wakelin, S., Akpınar, A., Hull, T., Kaiser, J., Loveday, B. R., O'Dea, E., Williams, C. A. J., and Ciavatta, S.: The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas, Ocean Model., 172, 101976, https://doi.org/10.1016/j.ocemod.2022.101976, 2022.
Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., and Deacu, D.: Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill, Mon. Weather Rev., 146, 1157–1180, https://doi.org/10.1175/MWR-D-17-0157.1, 2018.
Storto, A., Hesham Essa, Y., de Toma, V., Anav, A., Sannino, G., Santoleri, R., and Yang, C.: MESMAR v1: a new regional coupled climate model for downscaling, predictability, and data assimilation studies in the Mediterranean region, Geosci. Model Dev., 16, 4811–4833, https://doi.org/10.5194/gmd-16-4811-2023, 2023.
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.
Sun, R., Sanikommu, S., Subramanian A., Mazloff, M., Cornuelle, B., Gopalakrishnan G., Miller, A., and Hoteit, I.: Enhanced regional ocean ensemble data assimilation through atmospheric coupling in the SKRIPS model, Journal of Ocean Modeling, 191, 102424, https://doi.org/10.1016/j.ocemod.2024.102424, 2024.
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.
Valiente, N. G., Saulter, A., Edwards, J. M., Lewis, H. W.; Castillo Sanchez, J. M. C.; Bruciaferri, D., Bunney, C., and Siddorn, J.: The impact of wave model source terms and coupling strategies to rapidly developing waves across the north-west European shelf during extreme events, Journal of Marine Science and Engineering, 9, 403, https://doi.org/10.3390/jmse9040403, 2021.
Vellinga, M., Copsey, D., Graham, T., Milton, S., and Johns, T.: Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts, Weather Forecast., 35, 2127–2144, https://doi.org/10.1175/WAF-D-20-0035.1, 2020.
Voldoire, A., Decharme, B., Pianezze, J., Lebeaupin Brossier, C., Sevault, F., Seyfried, L., Garnier, V., Bielli, S., Valcke, S., Alias, A., Accensi, M., Ardhuin, F., Bouin, M.-N., Ducrocq, V., Faroux, S., Giordani, H., Léger, F., Marsaleix, P., Rainaud, R., Redelsperger, J.-L., Richard, E., and Riette, S.: SURFEX v8.0 interface with OASIS3-MCT to couple atmosphere with hydrology, ocean, waves and sea-ice models, from coastal to global scales, Geosci. Model Dev., 10, 4207–4227, https://doi.org/10.5194/gmd-10-4207-2017, 2017.
Wahle, K., Staneva, J., Koch, W., Fenoglio-Marc, L., Ho-Hagemann, H. T. M., and Stanev, E. V.: An atmosphere–wave regional coupled model: improving predictions of wave heights and surface winds in the southern North Sea, Ocean Sci., 13, 289–301, https://doi.org/10.5194/os-13-289-2017, 2017.
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.
Wedi, N., Bauer, P., Deconinck, W., Diamantakis, M., Hamrud, M., Kuehnlein, C., Malardel, S., Mogensen, K., Mozdzynski, G., and Smolarkiewicz, P.: The modelling infrastructure of the Integrated Forecasting System: Recent advances and future challenges. ECMWF Technical Memoranda, no. 760, ECMWF, April 2015, https://www.ecmwf.int/en/elibrary/78758-modelling-infrastructure-integrated-forecasting-system-recent-advances-and-future (last access: 29 July 2024), 2015.
Wiese, A., Stanev, E., Koch, W., Behrens, A., Geyer, B., and Staneva, J.: The Impact of the Two-Way Coupling between Wind Wave and Atmospheric Models on the Lower Atmosphere over the North Sea, Atmosphere, 10, 386, https://doi.org/10.3390/atmos10070386, 2019.
Xu, X., Voermans, J. J., Liu, Q., Moon, I.-J., Guan, C., and Babanin, A. V.: Impacts of the Wave-Dependent Sea Spray Parameterizations on Air–Sea–Wave Coupled Modeling under an Idealized Tropical Cyclone, J. Mar. Sci. Eng., 9, 1390, https://doi.org/10.3390/jmse9121390, 2021.
Yablonsky, R. M. and Ginis, I.: Limitation of One-Dimensional Ocean Models for Coupled Hurricane–Ocean Model Forecasts, Mon. Weather Rev., 137, 4410–4419, https://doi.org/10.1175/2009MWR2863.1, 2009.
Yamamoto, M., Ohigashi, T., Tsuboki, K., and Hirose, N.: Cloud-resolving simulation of heavy snowfalls in Japan for late December 2005: application of ocean data assimilation to a snow disaster, Nat. Hazards Earth Syst. Sci., 11, 2555–2565, https://doi.org/10.5194/nhess-11-2555-2011, 2011.
Yang, H., Chang, P., Qiu, B., Zhang, Q., Wu, L., Chen, Z., and Wang, H.: Mesoscale Air–Sea Interaction and Its Role in Eddy Energy Dissipation in the Kuroshio Extension, J. Climate, 32, 8659–8676, https://doi.org/10.1175/JCLI-D-19-0155.1, 2019.
Zhang, L., Zhang, X., Perrie, W., Guan, G., Dan, B., Sun, C., Wu, X., Liu, K., and Li, D.: Impact of Sea Spray and Sea Surface Roughness on the Upper Ocean Response to Super Typhoon Haitang (2005), J. Phys. Oceanogr., 51, 1929–1945, https://doi.org/10.1175/JPO-D-20-0208.1, 2011.
Short summary
Ocean forecasting is traditionally done independently from atmospheric, wave, or river modelling. We discuss the benefits and challenges of bringing all these modelling systems together for ocean forecasting.
Ocean forecasting is traditionally done independently from atmospheric, wave, or river...
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