Articles | Volume 9, issue 1
https://doi.org/10.5194/gmd-9-161-2016
https://doi.org/10.5194/gmd-9-161-2016
Development and technical paper
 | 
21 Jan 2016
Development and technical paper |  | 21 Jan 2016

A fully coupled atmosphere–ocean wave modeling system for the Mediterranean Sea: interactions and sensitivity to the resolved scales and mechanisms

P. Katsafados, A. Papadopoulos, G. Korres, and G. Varlas

Related authors

Modeling coarse and giant desert dust particles
Eleni Drakaki, Vassilis Amiridis, Alexandra Tsekeri, Antonis Gkikas, Emmanouil Proestakis, Sotirios Mallios, Stavros Solomos, Christos Spyrou, Eleni Marinou, Claire L. Ryder, Demetri Bouris, and Petros Katsafados
Atmos. Chem. Phys., 22, 12727–12748, https://doi.org/10.5194/acp-22-12727-2022,https://doi.org/10.5194/acp-22-12727-2022, 2022
Short summary
Seasonal predictability of the 2010 Russian heat wave
P. Katsafados, A. Papadopoulos, G. Varlas, E. Papadopoulou, and E. Mavromatidis
Nat. Hazards Earth Syst. Sci., 14, 1531–1542, https://doi.org/10.5194/nhess-14-1531-2014,https://doi.org/10.5194/nhess-14-1531-2014, 2014

Related subject area

Oceanography
sedInterFoam 1.0: a three-phase numerical model for sediment transport applications with free surfaces
Antoine Mathieu, Yeulwoo Kim, Tian-Jian Hsu, Cyrille Bonamy, and Julien Chauchat
Geosci. Model Dev., 18, 1561–1573, https://doi.org/10.5194/gmd-18-1561-2025,https://doi.org/10.5194/gmd-18-1561-2025, 2025
Short summary
The Ross Sea and Amundsen Sea Ice–Sea Model (RAISE v1.0): a high-resolution ocean–sea ice–ice shelf coupling model for simulating the Dense Shelf Water and Antarctic Bottom Water in the Ross Sea, Antarctica
Zhaoru Zhang, Chuan Xie, Chuning Wang, Yuanjie Chen, Heng Hu, and Xiaoqiao Wang
Geosci. Model Dev., 18, 1375–1393, https://doi.org/10.5194/gmd-18-1375-2025,https://doi.org/10.5194/gmd-18-1375-2025, 2025
Short summary
Sensitivity of the tropical Atlantic to vertical mixing in two ocean models (ICON-O v2.6.6 and FESOM v2.5)
Swantje Bastin, Aleksei Koldunov, Florian Schütte, Oliver Gutjahr, Marta Agnieszka Mrozowska, Tim Fischer, Radomyra Shevchenko, Arjun Kumar, Nikolay Koldunov, Helmuth Haak, Nils Brüggemann, Rebecca Hummels, Mia Sophie Specht, Johann Jungclaus, Sergey Danilov, Marcus Dengler, and Markus Jochum
Geosci. Model Dev., 18, 1189–1220, https://doi.org/10.5194/gmd-18-1189-2025,https://doi.org/10.5194/gmd-18-1189-2025, 2025
Short summary
HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures
Marko Rus, Hrvoje Mihanović, Matjaž Ličer, and Matej Kristan
Geosci. Model Dev., 18, 605–620, https://doi.org/10.5194/gmd-18-605-2025,https://doi.org/10.5194/gmd-18-605-2025, 2025
Short summary
A wave-resolving two-dimensional vertical Lagrangian approach to model microplastic transport in nearshore waters based on TrackMPD 3.0
Isabel Jalón-Rojas, Damien Sous, and Vincent Marieu
Geosci. Model Dev., 18, 319–336, https://doi.org/10.5194/gmd-18-319-2025,https://doi.org/10.5194/gmd-18-319-2025, 2025
Short summary

Cited articles

Battisti, D. S.: Dynamics and thermodynamics of a warming event in a coupled tropical atmosphere-ocean model, J. Atmos. Sci., 45, 2889–2919, 1988.
Bidlot, J. R.: Present status of wave forecasting at ECMWF. Proceeding from the ECMWF Workshop on Ocean Waves, 25–27 June 2012, ECMWF, Reading, United Kingdom, 2012.
Breivik, Ø., Mogensen, K., Bidlot, J.-R., Balmaseda, M. A., and Janssen, P. A. E. M.: Surface wave effects in the NEMO ocean model: Forced and coupled experiments, J. Geophys. Res. Ocean., 120, 2973–2992, https://doi.org/10.1002/2014JC010565.
Cavaleri, L. and Sclavo, M.: Characteristics of quadrant and octant advection schemes in wave models, Coastal Eng., 34, 221–242, 1998.
Chai, T. and Draxler, R. R.: Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature, Geosci. Model Dev., 7, 1247–1250, https://doi.org/10.5194/gmd-7-1247-2014, 2014.
Download
Short summary
This paper includes the entire steps and processes to develop a two-way fully coupled atmosphere-ocean wave model (WEW) aiming a better description and understanding of the exchange processes near the ocean surface. WEW offers a more realistic representation of the extreme weather and sea state events over the ocean bodies and finally leads in an overall improved simulations.
Share