Articles | Volume 15, issue 4
Ocean Sci., 15, 1111–1131, 2019
https://doi.org/10.5194/os-15-1111-2019

Special issue: The Copernicus Marine Environment Monitoring Service (CMEMS):...

Ocean Sci., 15, 1111–1131, 2019
https://doi.org/10.5194/os-15-1111-2019

Research article 20 Aug 2019

Research article | 20 Aug 2019

New insight into 3-D mesoscale eddy properties from CMEMS operational models in the western Mediterranean

Evan Mason et al.

Related authors

Impact of vertical and horizontal advection on nutrient distribution in the southeast Pacific
Bàrbara Barceló-Llull, Evan Mason, Arthur Capet, and Ananda Pascual
Ocean Sci., 12, 1003–1011, https://doi.org/10.5194/os-12-1003-2016,https://doi.org/10.5194/os-12-1003-2016, 2016
Short summary

Related subject area

Depth range: All Depths | Approach: Operational Oceanography | Geographical range: Mediterranean Sea | Phenomena: Temperature, Salinity and Density Fields
Forecast skill score assessment of a relocatable ocean prediction system, using a simplified objective analysis method
Reiner Onken
Ocean Sci., 13, 925–945, https://doi.org/10.5194/os-13-925-2017,https://doi.org/10.5194/os-13-925-2017, 2017
Short summary
The RADMED monitoring programme as a tool for MSFD implementation: towards an ecosystem-based approach
J. L. López-Jurado, R. Balbín, F. Alemany, B. Amengual, A. Aparicio-González, M. L. Fernández de Puelles, M. C. García-Martínez, M. Gazá, J. Jansá, A. Morillas-Kieffer, F. Moyá, R. Santiago, M. Serra, and M. Vargas-Yáñez
Ocean Sci., 11, 897–908, https://doi.org/10.5194/os-11-897-2015,https://doi.org/10.5194/os-11-897-2015, 2015
Short summary
Variability of water mass properties in the Strait of Sicily in summer period of 1998–2013
A. Bonanno, F. Placenti, G. Basilone, R. Mifsud, S. Genovese, B. Patti, M. Di Bitetto, S. Aronica, M. Barra, G. Giacalone, R. Ferreri, I. Fontana, G. Buscaino, G. Tranchida, E. Quinci, and S. Mazzola
Ocean Sci., 10, 759–770, https://doi.org/10.5194/os-10-759-2014,https://doi.org/10.5194/os-10-759-2014, 2014

Cited articles

Allen, J. T., Smeed, D., Tintoré, J., and Ruiz, S.: Mesoscale subduction at the Almeria-Oran front: Part 1: Ageostrophic flow, J. Mar. Syst., 30, 263–285, https://doi.org/10.1016/S0924-7963(01)00062-8, 2001. a
Amante, C. and Eakins, B. W.: ETOPO1 Global Relief Model converted to PanMap layer format, Tech. rep., NOAA-Natl. Geophys. Data Center PANGAEA, https://doi.org/10.1594/PANGAEA.769615, 2009. a
Aulicino, G., Cotroneo, Y., Ruiz, S., Sánchez-Román, A., Pascual, A., Fusco, G., Tintoré, J., and Budillon, G.: Monitoring the Algerian Basin through glider observations, satellite altimetry and numerical simulations along a SARAL/AltiKa track, J. Mar. Syst., 179, 55–71, https://doi.org/10.1016/j.jmarsys.2017.11.006, 2018. a
Aznar, R., Sotillo, M. G., Cailleau, S., Lorente, P., Levier, B., Amo-Baladrón, A., Reffray, G., and Alvarez Fanjul, E.: Strengths and weaknesses of the CMEMS forecasted and reanalyzed solutions for the Iberia-Biscay-Ireland (IBI) waters, J. Mar. Syst., 159, 1–14, https://doi.org/10.1016/j.jmarsys.2016.02.007, 2016. a
Barnier, B., Madec, G., Penduff, T., Molines, J.-M., Treguier, A. M., Le Sommer, J., Beckmann, A., Biastoch, A., Böning, C., Dengg, J., Derval, C., Durand, E., Gulev, S., Remy, E., Talandier, C., Theetten, S., Maltrud, M. E., McClean, J. L., and De Cuevas, B.: Impact of partial steps and momentum advection schemes in a global ocean circulation model at eddy-permitting resolution, Ocean Dynam., 56, 543–567, https://doi.org/10.1007/s10236-006-0082-1, 2006. a
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
The Copernicus Marine Service (CMEMS) provides oceanographic products and services. Using a mesoscale eddy tracker, we evaluate the performance of three CMEMS model products in the western Mediterranean. Performance testing provides valuable feedback to the model developers. The eddy tracker allows us to construct 3-D eddy composites for each model in the Alboran Sea gyres. Comparison of the composites with data from Argo floats highlights the importance of data assimilation for these models.