Articles | Volume 13, issue 6
https://doi.org/10.5194/os-13-925-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/os-13-925-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Forecast skill score assessment of a relocatable ocean prediction system, using a simplified objective analysis method
Reiner Onken
CORRESPONDING AUTHOR
Helmholtz-Zentrum Geesthacht (HZG), Max-Planck-Straße 1, 21502 Geesthacht, Germany
Related authors
Reiner Onken and Burkard Baschek
Ocean Sci. Discuss., https://doi.org/10.5194/os-2021-86, https://doi.org/10.5194/os-2021-86, 2021
Preprint withdrawn
Short summary
Short summary
The evolution of a small spiraliform ocean eddy is simulated with a numerical model. Its generation starts from a dense filament that is rolled into a vortex. Various quantities are organized in single-arm and multi-arm spirals. Oscillations of the vertical velocity are due to vortex Rossby waves. Virtual drifters and floats indicate downwelling everywhere near the surface, that is most intense in the center of the spiral, leading to a radial outflow and weak upwelling at the periphery.
Reiner Onken, Burkard Baschek, and Ingrid M. Angel-Benavides
Ocean Sci., 16, 657–684, https://doi.org/10.5194/os-16-657-2020, https://doi.org/10.5194/os-16-657-2020, 2020
Short summary
Short summary
In order to provide an aid for the interpretation of observations of
the formation, structure, and dynamics of submesoscale
patterns, a numerical model is applied in a double-offline-nested
setup to a sub-area of the Baltic Sea. A model with 500 m horizontal
resolution is nested into an existing operational model in order to
create a realistic mesoscale environment. Turbulent patterns with
horizontal scales < 1 km are resolved by a second nest with 100 m resolution.
Reiner Onken, Heinz-Volker Fiekas, Laurent Beguery, Ines Borrione, Andreas Funk, Michael Hemming, Jaime Hernandez-Lasheras, Karen J. Heywood, Jan Kaiser, Michaela Knoll, Baptiste Mourre, Paolo Oddo, Pierre-Marie Poulain, Bastien Y. Queste, Aniello Russo, Kiminori Shitashima, Martin Siderius, and Elizabeth Thorp Küsel
Ocean Sci., 14, 321–335, https://doi.org/10.5194/os-14-321-2018, https://doi.org/10.5194/os-14-321-2018, 2018
Short summary
Short summary
In June 2014, high-resolution oceanographic data were collected in the
western Mediterranean Sea by two research vessels, 11 gliders, moored
instruments, drifters, and one profiling float. The objective
of this article is to provide an overview of the data set which
is utilised by various ongoing studies, focusing on (i) water masses and circulation, (ii) operational forecasting, (iii) data assimilation, (iv) variability of the ocean, and (v) new payloads
for gliders.
Michaela Knoll, Ines Borrione, Heinz-Volker Fiekas, Andreas Funk, Michael P. Hemming, Jan Kaiser, Reiner Onken, Bastien Queste, and Aniello Russo
Ocean Sci., 13, 889–904, https://doi.org/10.5194/os-13-889-2017, https://doi.org/10.5194/os-13-889-2017, 2017
Short summary
Short summary
The hydrography and circulation west of Sardinia, observed in June 2014 during REP14-MED by means of various measuring platforms, are presented and compared with previous knowledge. So far, the circulation of this area is not well-known and the hydrography is subject to long-term changes. The different water masses are characterized and temporal changes are emphasized. The observed eddies are specified and geostrophic transports in the upper ocean are presented.
Michael P. Hemming, Jan Kaiser, Karen J. Heywood, Dorothee C.E. Bakker, Jacqueline Boutin, Kiminori Shitashima, Gareth Lee, Oliver Legge, and Reiner Onken
Ocean Sci., 13, 427–442, https://doi.org/10.5194/os-13-427-2017, https://doi.org/10.5194/os-13-427-2017, 2017
Short summary
Short summary
Underwater gliders are useful platforms for monitoring the world oceans at a high resolution. An experimental pH sensor was attached to an underwater glider in the Mediterranean Sea, which is an important carbon sink region. Comparing measurements from the glider with those obtained from a ship indicated that there were issues with the experimental pH sensor. Correcting for these issues enabled us to look at pH variability in the area related to biomass abundance and physical water properties.
Reiner Onken
Ocean Sci., 13, 235–257, https://doi.org/10.5194/os-13-235-2017, https://doi.org/10.5194/os-13-235-2017, 2017
Short summary
Short summary
A numerical ocean circulation model has been employed to explore the
sensitivity of the forecast skill of mixed-layer properties to the
initial conditions, boundary conditions, and vertical mixing
parameterisations. All forecasts were validated against observations
which were taken in June 2014 to the west of Sardinia.
Paolo Oddo, Andrea Storto, Srdjan Dobricic, Aniello Russo, Craig Lewis, Reiner Onken, and Emanuel Coelho
Ocean Sci., 12, 1137–1153, https://doi.org/10.5194/os-12-1137-2016, https://doi.org/10.5194/os-12-1137-2016, 2016
Reiner Onken and Burkard Baschek
Ocean Sci. Discuss., https://doi.org/10.5194/os-2021-86, https://doi.org/10.5194/os-2021-86, 2021
Preprint withdrawn
Short summary
Short summary
The evolution of a small spiraliform ocean eddy is simulated with a numerical model. Its generation starts from a dense filament that is rolled into a vortex. Various quantities are organized in single-arm and multi-arm spirals. Oscillations of the vertical velocity are due to vortex Rossby waves. Virtual drifters and floats indicate downwelling everywhere near the surface, that is most intense in the center of the spiral, leading to a radial outflow and weak upwelling at the periphery.
Reiner Onken, Burkard Baschek, and Ingrid M. Angel-Benavides
Ocean Sci., 16, 657–684, https://doi.org/10.5194/os-16-657-2020, https://doi.org/10.5194/os-16-657-2020, 2020
Short summary
Short summary
In order to provide an aid for the interpretation of observations of
the formation, structure, and dynamics of submesoscale
patterns, a numerical model is applied in a double-offline-nested
setup to a sub-area of the Baltic Sea. A model with 500 m horizontal
resolution is nested into an existing operational model in order to
create a realistic mesoscale environment. Turbulent patterns with
horizontal scales < 1 km are resolved by a second nest with 100 m resolution.
Reiner Onken, Heinz-Volker Fiekas, Laurent Beguery, Ines Borrione, Andreas Funk, Michael Hemming, Jaime Hernandez-Lasheras, Karen J. Heywood, Jan Kaiser, Michaela Knoll, Baptiste Mourre, Paolo Oddo, Pierre-Marie Poulain, Bastien Y. Queste, Aniello Russo, Kiminori Shitashima, Martin Siderius, and Elizabeth Thorp Küsel
Ocean Sci., 14, 321–335, https://doi.org/10.5194/os-14-321-2018, https://doi.org/10.5194/os-14-321-2018, 2018
Short summary
Short summary
In June 2014, high-resolution oceanographic data were collected in the
western Mediterranean Sea by two research vessels, 11 gliders, moored
instruments, drifters, and one profiling float. The objective
of this article is to provide an overview of the data set which
is utilised by various ongoing studies, focusing on (i) water masses and circulation, (ii) operational forecasting, (iii) data assimilation, (iv) variability of the ocean, and (v) new payloads
for gliders.
Michaela Knoll, Ines Borrione, Heinz-Volker Fiekas, Andreas Funk, Michael P. Hemming, Jan Kaiser, Reiner Onken, Bastien Queste, and Aniello Russo
Ocean Sci., 13, 889–904, https://doi.org/10.5194/os-13-889-2017, https://doi.org/10.5194/os-13-889-2017, 2017
Short summary
Short summary
The hydrography and circulation west of Sardinia, observed in June 2014 during REP14-MED by means of various measuring platforms, are presented and compared with previous knowledge. So far, the circulation of this area is not well-known and the hydrography is subject to long-term changes. The different water masses are characterized and temporal changes are emphasized. The observed eddies are specified and geostrophic transports in the upper ocean are presented.
Michael P. Hemming, Jan Kaiser, Karen J. Heywood, Dorothee C.E. Bakker, Jacqueline Boutin, Kiminori Shitashima, Gareth Lee, Oliver Legge, and Reiner Onken
Ocean Sci., 13, 427–442, https://doi.org/10.5194/os-13-427-2017, https://doi.org/10.5194/os-13-427-2017, 2017
Short summary
Short summary
Underwater gliders are useful platforms for monitoring the world oceans at a high resolution. An experimental pH sensor was attached to an underwater glider in the Mediterranean Sea, which is an important carbon sink region. Comparing measurements from the glider with those obtained from a ship indicated that there were issues with the experimental pH sensor. Correcting for these issues enabled us to look at pH variability in the area related to biomass abundance and physical water properties.
Reiner Onken
Ocean Sci., 13, 235–257, https://doi.org/10.5194/os-13-235-2017, https://doi.org/10.5194/os-13-235-2017, 2017
Short summary
Short summary
A numerical ocean circulation model has been employed to explore the
sensitivity of the forecast skill of mixed-layer properties to the
initial conditions, boundary conditions, and vertical mixing
parameterisations. All forecasts were validated against observations
which were taken in June 2014 to the west of Sardinia.
Paolo Oddo, Andrea Storto, Srdjan Dobricic, Aniello Russo, Craig Lewis, Reiner Onken, and Emanuel Coelho
Ocean Sci., 12, 1137–1153, https://doi.org/10.5194/os-12-1137-2016, https://doi.org/10.5194/os-12-1137-2016, 2016
Related subject area
Approach: Operational Oceanography | Depth range: All Depths | Geographical range: Mediterranean Sea | Phenomena: Temperature, Salinity and Density Fields
New insight into 3-D mesoscale eddy properties from CMEMS operational models in the western Mediterranean
The RADMED monitoring programme as a tool for MSFD implementation: towards an ecosystem-based approach
Variability of water mass properties in the Strait of Sicily in summer period of 1998–2013
Evan Mason, Simón Ruiz, Romain Bourdalle-Badie, Guillaume Reffray, Marcos García-Sotillo, and Ananda Pascual
Ocean Sci., 15, 1111–1131, https://doi.org/10.5194/os-15-1111-2019, https://doi.org/10.5194/os-15-1111-2019, 2019
Short summary
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.
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
Short summary
The IEO-RADMED monitoring program is already conducting many of the evaluations required under the Marine Strategy Framework Directive (MFSD) along the Spanish Mediterranean coast. The different aspects of the ecosystem that are regularly sampled under this monitoring program are the physical environment and the chemical and biological variables of the water column, together with the planktonic communities, biomass and structure.
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
Bell, M. J., Lefèbvre, M., Le Traon, P.-Y., Smith, N., and Wilmer-Becker, K.: GODAE: The Global Ocean Data Assimilation Experiment, Oceanography, 22, 14–21, https://doi.org/10.5670/oceanog.2009.62, 2009.
Bretherton, F. P., Davies, R. E., and Fandry, C. B.: Technique for Objective Analysis and design of oceanographic experiments applied to Mode-73, Deep-Sea Res., 23, 559–582, 1976.
Capet, X., McWilliams, J. C., Molemaker, M. J., and Shchepetkin, A. F.: Mesoscale to submesoscale transition in the California Current system, Part I: flow structure, eddy flux, and observational tests, J. Phys. Oceanogr., 38, 29–43, https://doi.org/10.1175/2007JPO3671.1, 2008.
Centre for Maritime Research and Experimentation: REP14 data, available at: http://geos3.cmre.nato.int/REP14 (last access: 10 March 2017), La Spezia, Italy, 2014.
Chapman, D. C.: Numerical treatment of cross-shelf open boundaries in a barotropic coastal ocean model, J. Phys. Oceanogr., 15, 1060–1075, 1985.
Chiggiato, J. and Oddo, P.: Operational ocean models in the Adriatic Sea: a skill assessment, Ocean Sci., 4, 61–71, https://doi.org/10.5194/os-4-61-2008, 2008.
Counillon, F., Keenlyside, N., Bethke, I., Wang, Y., Billeau, S., Shen, M. L., and Bentsen, M: Flow-dependent assimilation of sea surface temperature in isopcnal coordinates with the Norwegian Climate Prediction model, Tellus A, 68, 32437, https://doi.org/10.3402/tellusa.v68.32437, 2016.
De Dominicis, M., Falchetti, S., Trotta, F., Pinardi, N., Giacomelli, L., Napolitano, E., Fazioli, L., Sorgente, R., Haley Jr., P. J., Lermusiaux, P. F. J., Martins, F., and Cocco, M.: A relocatable ocean model in support of environmental emergencies, Ocean Dynam., 64, 667–688, https://doi.org/10.1007/s10236-014-0705-x, 2013.
Dombrowsky, E.: Overview Global Operational Oceanography Systems, Chapter 16, in: Operational Oceanography in the 21st Century, edited by: Schiller, A., and Brassington, G. B., Springer Science+Business Media B.V., 397–411, https://doi.org/10.1007/978-94-007-0332-2_16, 2011.
Dombrowsky E., Bertino, L., Brassington, G. B., Chassignet, E. P., Davidson, F., Hurlburt, H. E., Kamachi, M., Lee, T., Martin, M. J., Meu, S., and Tonani, M.: GODAE Systems in Operation, Oceanogr., 22, 83–95, 2009.
Drévillon, M., Bourdallé-Badie, R., Derval, C., Lellouche, J. M., Rémy, E., Tranchant, B., Benkiran, M., Greiner, E., Guinehut, S., Verbrugge, N., Garric, G., Testut, C. E., Laborie, M., Nouel, L., Bahurel, P., Bricaud, C., Crosnier, L., Dombrowsky, E., Durand, E., Ferry, N., Hernandez, F., Le Galloudec, O., Messal, F., and Parent, L.: The GODAE/Mercator-Ocean global ocean forecasting system: results, applications and prospects, J. Oper. Oceanogr., 1, 51–57, https://doi.org/10.1080/1755876X.2008.11020095, 2008.
Edwards, C. A., Moore, A. M., Hoteit, I., and Cornuelle, B. D.: Regional Ocean Data Assimilation, Annu. Rev. Mar. Sci., 7, 21–42, https://doi.org/10.1146/annurev-marine-010814-015821, 2015.
Evensen, G.: The Ensemble Kalman Filter: theoretical formulation and practical implementation, Ocean Dynam., 53, 343–367, https://doi.org/10.1007/s10236-003-0036-9, 2003
Evensen, G.: The Ensemble Kalman Filter: theoretical formulation and practical implementation, Ocean Dynam., 53, 343–367, https://doi.org/10.1007/s10236-003-0036-9, 2003.
Fairall, C. W., Bradley, E. F., Rogers, D. B., Edson, J. B., and Young, G. S.: Bulk parameterization of air-sea fluxes for Tropical Ocean-Global Atmosphere Coupled-Ocean Atmosphere Response Experiment, J. Geophys. Res., 101, 3747–3764, https://doi.org/10.1029/95JC03205, 1996.
García-Ladona, E., Castellón, A., Font, J., and Tintoré, J.: The Balearic current and volume transports in the Balearic Basin, Ocean. Ac., 19, 489–497, 1996.
Grilli, F., and Pinardi, N.: The computation of Rossby radii of deformation for the Mediterranean Sea, MTP news, 6, 4, 1998.
Gula, J., Molemaker, M. J., and McWilliams, J. C.: Submesoscale dynamics of a Gulf Stream frontal eddy in the South Atlantic Bight, J. Phys. Oceanogr., 46, 305–325, https://doi.org/10.1175/JPO-D-14-0258.1, 2016.
Haidvogel, D. B., Arango, H. G., Hedstrøm, K., Beckmann, A., Malanotte-Rizzoli, P., and Shchepetkin, A. F.: Model evaluation experiments in the North Atlantic Basin: simulations in nonlinear terrain-following coordinates, Dynam. Atmos. Ocean., 32, 239–281, 2000.
Haney, R. L.: On the pressure gradient force over steep topography in sigma coordinate models, J. Phys. Oceanogr., 21, 610–619, 1991.
Knoll, M., Borrione, I., Fiekas, H.-V., Funk, A., Hemming, M. P., Kaiser, J., Onken, R., Queste, B., and Russo, A.: Hydrography and Circulation West of Sardinia in June 2014, Ocean Sci. Discuss., https://doi.org/10.5194/os-2017-45, in review, 2017.
Lellouche, J.-M., Le Galloudec, O., Drévillon, M., Régnier, C., Greiner, E., Garric, G., Ferry, N., Desportes, C., Testut, C.-E., Bricaud, C., Bourdallé-Badie, R., Tranchant, B., Benkiran, M., Drillet, Y., Daudin, A., and De Nicola, C.: Evaluation of global monitoring and forecasting systems at Mercator Océan, Ocean Sci., 9, 57–81, https://doi.org/10.5194/os-9-57-2013, 2013.
Lorenc, A. C.: A global three-dimensional multivariate statistical interpolation scheme, Mon. Weather Rev., 109, 701–721, 1981.
Marchesiello, P., McWilliams, J. C., and Shchepetkin, A. F.: Open boundary conditions for long-term integration of regional ocean models, Ocean Model., 3, 1–20, 2001.
Martin, P. J.: Description of the Navy Coastal Ocean Model Version 1.0, NRL/FR/7322-00-9962, Nav. Res. Labor., 42 pp., 2000.
McWilliams, J. C.: Submesoscale currents in the ocean, P. Roy. Soc. A, 472, 20160117, https://doi.org/10.1098/rspa.2016.0117, 2016.
Millot, C.: Circulation in the Western Mediterranean Sea, J. Mar. Syst., 20, 424–442, 1999.
Moore, A.M., Arango, H. G., Broquet, G., Powell, B. S., Weaver, A. T., and Zaval-Gray, J.: The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems, Part I: system overview and formulation, Prog. Oceanogr., 91, 34–49, 2011a.
Moore, A.M., Arango, H. G., Broquet, G., Edwards, C., Veneziani, M., Powell, B., Foley, D., Doyle, J. D., Costa, D., and Robinson, P.: The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems, Part II: Performance and application to the California Current System, Prog. Oceanogr., 91, 50–73, 2011b.
Murphy, A. H.: Skill scores based on the mean square error and their relationships to the correlation coefficient, Mon. Weather Rev., 116, 2417–2424, 1988.
Murphy, A. H.: What is a good forecast? An Essay on the nature of goodness in weather forecasting, Weather Forecast., 8, 281–293, 1993.
Oddo, P., Storto, A., Dobricic, S., Russo, A., Lewis, C., Onken, R., and Coelho, E.: A hybrid variational-ensemble data assimilation scheme with systematic error correction for limited-area ocean models, Ocean Sci., 12, 1137–1153, https://doi.org/10.5194/os-12-1137-2016, 2016.
Oke, P. R., Larnicol, G., Jones, E. M., Kourafalou, V., Sperrevik, A. K., Carse, F., Tanajura, C. A. S., Mourre, B., Tonani, M., Brassington, G. B., Le Henaff, M., Halliwell Jr., G., R., Atlas, R., Moore, A. M., Edwards, C. A., Martin, M. J., Sellar, A. A., Alvarez, A., De Mey, P., and Iskandarani, M.: Assessing the impact of observations on ocean forecasts and reanalyses: Part 2, Regional applications, J. Oper. Oceanogr., 8, s63–s79, 2015.
Onken, R.: Validation of an ocean shelf model for the prediction of mixed-layer properties in the Mediterranean Sea west of Sardinia, Ocean Sci., 13, 235–257, https://doi.org/10.5194/os-13-235-2017, 2017.
Onken, R., Ampolo-Rella, M., Baldasserini, G., Borrione, I., Cecchi, D., Coelho, E., Falchetti, S., Fiekas, H.-V., Funk, A., Jiang, Y.-M., Knoll, M., Lewis, C., Mourre, B., Nielsen, P., Russo, A., and Stoner, R.: REP14-MED Cruise Report. CMRE Cruise Report Series, CMRE-CR-2014-06-REP14-MED, CMRE, La Spezia, 76 pp., 2014.
Onken, R. and Brambilla, E.: Double diffusion in the Mediterranean Sea: observation and parameterization of salt finger convection, J. Geophys. Res., 108, 8124, https://doi.org/10.1029/2002JC001349, 2003.
Onken, R., Fiekas, H.-V., Beguery, L., Borrione, I., Funk, A., Hemming, M., Heywood, K. J., Kaiser, J., Knoll, M., Poulain, P.-M., Queste, B., Russo, A., Shitashima, K., Siderius, M., and Thorp Küsel, E.: High-resolution observations in the western Mediterranean Sea: the REP14-MED experiment, Ocean Science, in preparation, 2018.
Pham, S., Hwang, J. H., and Ku, H.: Optimizing dynamic downscaling in one-way nesting using a regional ocean model, Ocean Model. 106, 104–120, https://doi.org/10.1016/j.ocemod.2016.09.009, 2016.
Pinardi, N., Allen, I., Demirov, E., De Mey, P., Korres, G., Lascaratos, A., Le Traon, P.-Y., Maillard, C., Manzella, G., and Tziavos, C.: The Mediterranean ocean forecasting system: first phase of implementation (1998–2001), Ann. Geophys., 21, 3–20, https://doi.org/10.5194/angeo-21-3-2003, 2003.
Robinson A.: Forecasting and simulating coastal ocean processes and variabilities with the Harvard Ocean Prediction System, edited by: Mooers, C. N. K., Coastal Ocean Prediction, AGU Coastal and Estuarine Studies, 77–100, 1999.
Robinson, A. R., Leslie, W. G., Theocharis, A., and Lascaratos, A.: Mediterranean Sea circulation, in: Encyclopedia of Ocean Science, 3, 1689–1705, Academic Press, London, https://doi.org/10.1006/rwos.2001.0376, 2001.
Rowley, C. and Mask, A.: Regional and coastal prediction with the Relocatable Ocean Nowcast/Forecast System, Oceanography, 27, 44–55, https://doi.org/10.5670/oceanog.2014.67, 2014.
Ryan, A. G., Regnier, C., Divakaran, P., Spindler, T., Mehra, A., Smith, G. C., Davidson, F., Hernandez, F., Maksymczuk, J., and Liu, Y.: GODAE OceanView Class 4 forecast verification framework: global ocean intercomparison, J. Oper. Oceanogr., 8, s98–s111, https://doi.org/10.1080/1755876X.2015.1022330, 2015.
Schmitt, R. W.: Form of the temperature-salinity relationship in the central water: evidence for double-diffusive mixing, J. Phys. Oceanogr., 11, 1015–1026, 1981.
Shchepetkin, A. F. and McWilliams, J. C.: A method for computing horizontal pressure gradient force in an oceanic model with a nonaligned vertical coordinate, J. Geophys. Res., 108, 3090, https://doi.org/10.1029/2001JC001047, 2003.
Shchepetkin, A. F. and McWilliams, J. C.: The Regional Ocean Modeling System: A split-explicit, free-surface, topography following coordinates ocean model, Ocean Model., 9, 347–404, 2005.
Smedstad, M., Hurlburt, H. E., Metzger, E. J., Rhodes, R. C., Shriver, J. F., Wallcraft, A. J., and Kara, A. B.: An operational eddy resolving 1/16° global ocean nowcast/forecast system, J. Mar. Syst., 40–41, 341–361, https://doi.org/10.1016/S0924-7963(03)00024-1, 2003.
Song, Y. and Haidvogel, D. B.: A semi-implicit ocean circulation model using a generalized topography-following coordinate system, J. Comput. Phys., 115, 228–244, 1994.
Tonani M., Teruzzi, A., Korres, G., Pinardi, N., Crise, A., Adani, M., Oddo, P., Dobricic, S., Fratianni, C., Drudi, M., Salon, S., Grandi, A., Girardi, G., Lyubartsev, V., and Marino, S.: The Mediterranean Monitoring and Forecasting Centre, a component of the MyOcean system, Proceedings of the Sixth International Conference on EuroGOOS 4–6 October 2011, Sopot, Poland, edited by: Dahlin, H., Fleming, N. C., and Petersson, S. E., EuroGOOS Publication no. 30, ISBN 978-91-974828-9-9, 2014.
Thomson, R. E. and Emery, W. J.: Data Analysis Methods in Physical Oceanography, Elsevier, 715 pp., 2014.
Tonani, M., Pinardi, N., Fratianni, C., Pistoia, J., Dobricic, S., Pensieri, S., de Alfonso, M., and Nittis, K.: Mediterranean Forecasting System: forecast and analysis assessment through skill scores, Ocean Sci., 5, 649–660, https://doi.org/10.5194/os-5-649-2009, 2009.
Trotta, F., Fenu, E., Pinardi, N., Bruciaferri, D., Giacomelli, L., Federico, I., and Coppini, G.: A structured and unstructured grid relocatable ocean platform for forecasting (SURF), Deep-Sea Res. Pt. II, 133, 54–75, https://doi.org/10.1016/j.dsr2.2016.05.004, 2016.
Umlauf, L. and Burchard, H.: A generic length-scale equation for geophysical turbulence models, J. Mar. Res., 61, 235–265, 2003.
Wilcox, D. C.: Reasessment of the scale-determining equation for advanced turbulence models, AIAA J., 26, 1299–1310, 1988.
Zaron, E. D.: Introduction to Ocean Data Assimilation, Chapter 13, edited by: Schiller, A. and Brassington, G. B., Operational Oceanography in the 21st Century, Springer Science+Business Media B.V., 321–350, https://doi.org/10.1007/978-94-007-0332-2_13, 2011.
Zhu, J.: Overview of Regional and Coastal Systems, Chapter 17 edidet by: Schiller, A., and Brassington, G. B., Operational Oceanography in the 21st Century, Springer Science+Business Media B.V., 413–439, https://doi.org/10.1007/978-94-007-0332-2_17, 2011.
Zhang, J., Schmitt, R. W., and Huang, R. X.: Sensitivity of the GFDL Modular Ocean Model to parameterization of double-diffusive processes, J. Phys. Oceanogr., 28, 589–605, 1998.
Short summary
An ocean prediction model was driven by observations via
assimilation. The best forecast was obtained using a smoothing scale
of 12.5 km and a time window of 24 h for data selection. Mostly,
the forecasts were better than that of a run without assimilation, the
skill score increased with increasing forecast range, and the score
for temperature was higher than the score for salinity. It is shown
that a vast number of data can be managed by the applied method
without data reduction.
An ocean prediction model was driven by observations via
assimilation. The best forecast was...