scholarly journals Mediterranean ocean forecasting system: First phase of implementation

Author(s):  
Nadia Pinardi ◽  
Entcho Demirov ◽  
Marina Tonani ◽  
L. Giacomelli ◽  
C. Fratianni ◽  
...  
2008 ◽  
Vol 1 (1) ◽  
pp. 51-57 ◽  
Author(s):  
M Drévillon ◽  
R Bourdallé-Badie ◽  
C Derval ◽  
J M Lellouche ◽  
E Rémy ◽  
...  

Ocean Science ◽  
2012 ◽  
Vol 8 (2) ◽  
pp. 143-159 ◽  
Author(s):  
S. Cailleau ◽  
J. Chanut ◽  
J.-M. Lellouche ◽  
B. Levier ◽  
C. Maraldi ◽  
...  

Abstract. The regional ocean operational system remains a key element in downscaling from large scale (global or basin scale) systems to coastal ones. It enables the transition between systems in which the resolution and the resolved physics are quite different. Indeed, coastal applications need a system to predict local high frequency events (inferior to the day) such as storm surges, while deep sea applications need a system to predict large scale lower frequency ocean features. In the framework of the ECOOP project, a regional system for the Iberia-Biscay-Ireland area has been upgraded from an existing V0 version to a V2. This paper focuses on the improvements from the V1 system, for which the physics are close to a large scale basin system, to the V2 for which the physics are more adapted to shelf and coastal issues. Strong developments such as higher regional physics resolution in the NEMO Ocean General Circulation Model for tides, non linear free surface and adapted vertical mixing schemes among others have been implemented in the V2 version. Thus, regional thermal fronts due to tidal mixing now appear in the latest version solution and are quite well positioned. Moreover, simulation of the stratification in shelf areas is also improved in the V2.


2013 ◽  
Vol 63 ◽  
pp. S193-S208 ◽  
Author(s):  
John D. Farrara ◽  
Yi Chao ◽  
Zhijin Li ◽  
Xiaochun Wang ◽  
Xin Jin ◽  
...  

Author(s):  
Maria Aristizabal Vargas ◽  
Travis Miles ◽  
Scott Glenn ◽  
Patrick Hogan ◽  
W. Douglas Wilson ◽  
...  

2015 ◽  
Vol 8 (sup1) ◽  
pp. s127-s146 ◽  
Author(s):  
V.H. Kourafalou ◽  
P. De Mey ◽  
M. Le Hénaff ◽  
G. Charria ◽  
C.A. Edwards ◽  
...  

2020 ◽  
Author(s):  
Liping Yin ◽  
Fangli Qiao ◽  
Chang Zhao ◽  
Guansuo Wang

<p>Lagrangian methods have been widely used and playing more and more essential roles in the analysis of ocean physical processes, pollution prediction, ecosystem protection and fisheries. Using the Lagrangian methods based on the high resolution coupled ocean model, we report several specific studies. The numerical modelling team from First Institute of Oceanography (FIO), Ministry of Natural Resources (MNR) of China, developed an ocean forecasting system based on the global (1/10°) wave-tide-circulation coupled model, as well as the regional model (1/24°) for China and adjacent seas. Basing on this system and its products, we developed the global ocean radionuclides model to investigate the long-term transport, distribution and evaluation of 137Cs in the ocean both from the Fukushima nuclear accident in March of 2011 and nuclear tests during the past 60 years; established the search and rescue system which has successfully applied in the rescue of the Phuket boat capsizing accident in July 2018; established the Enteromorpha prediction and tracking models for the protection of the marine environmental hazard from Enteromorpha, and to identify the origin area of this harmful green tide; developed the stock enhancement model of edible jellyfish to mimic the distribution of the human-released jellyfish and identify the connectivity between the releasing site and the fishing ground in Liaodong Bay of Bohai Sea, China. With the combination of the statistical methods, we established the near-term forecast and long-term projection system of the oil spill to forecast and evaluate the influence of the oil spill from the “Sanchi” collision accident on the ocean. All of these applications are verified and essential for protecting the oceans.</p>


Ocean Science ◽  
2012 ◽  
Vol 8 (4) ◽  
pp. 551-565 ◽  
Author(s):  
E. W. Blockley ◽  
M. J. Martin ◽  
P. Hyder

Abstract. In this study, the quality of near-surface current forecasts from the FOAM ocean forecasting system is assessed using the trajectories of Lagrangian drifting buoys. A method is presented for deriving pseudo-Eulerian estimates of ocean currents from the positions of Surface Velocity Program drifters and the resulting data are compared to velocities observed by the global tropical moored buoy array. A quantitative analysis of the global FOAM velocities is performed for the period 2007 and 2008 using currents derived from over 3000 unique drifters (providing an average of 650 velocity observations per day). A potential bias is identified in the Southern Ocean which appears to be caused by wind-slip in the drifter dataset as a result of drogue loss. The drifter-derived currents are also used to show how the data assimilation scheme and a recent system upgrade impact upon the quality of FOAM current forecasts.


2007 ◽  
Vol 41 (1) ◽  
pp. 84-93
Author(s):  
Yi Chao ◽  
Paul M. DiGiacomo

In the context of continuing development and implementation of global and regional ocean observing systems, we describe here the need and essential ingredients for a coastal ocean forecasting system focused on sea level and associated inundation issues and applications. Such a system must consist of the following key components: 1) satellite and in situ observations, 2) atmospheric forcing, 3) ocean circulation and tide modeling, 4) data assimilation for initialization, 5) forecast error estimation, and 6) data and model management. We describe these components, their continuing development and integrated implementation and application as part of a prototype coastal ocean forecast system for the U.S. West Coast. The multiscale nested modeling approach utilized here has demonstrated that sea level simulation can be improved by increasing the spatial resolution of observations. This and other regional ocean forecast systems are complementary and necessary elements of the emerging Global Ocean Observing System (GOOS) needed to predict changes in sea level. Building on the increasing maturity of ocean observing and forecasting capabilities, there are a number of significant challenges that require immediate attention, planning and development. These include: 1) further development of models, data assimilation algorithms and information management system, 2) adaptive sampling to reduce uncertainty in ocean forecasting, 3) Observing System Simulation Experiments (OSSE) to optimize observing system design, 4) bridging the land-sea boundary, and 5) moving from measurements to information in support of management and decision-making.


2012 ◽  
Vol 9 (2) ◽  
pp. 1705-1740
Author(s):  
E. W. Blockley ◽  
M. J. Martin ◽  
P. Hyder

Abstract. In this study, the quality of near-surface current forecasts from the FOAM ocean forecasting system is assessed using the trajectories of Lagrangian drifting buoys. A method is presented for deriving pseudo-Eulerian estimates of ocean currents from the positions of Surface Velocity Program drifters and the resulting data are compared to velocities observed by the global tropical moored buoy array. A quantitative analysis of the global FOAM velocities is performed for the period 2007 and 2008 using currents derived from over 3000 unique drifters (providing an average of 650 velocity observations per day). A potential bias is identified in the Southern Ocean which appears to be caused by wind-slip in the drifter dataset as a result of drogue loss. The drifter-derived currents are also used to show how the data assimilation scheme and a recent system upgrade impact upon the quality of FOAM current forecasts.


2016 ◽  
Author(s):  
Xueming Zhu ◽  
Hui Wang ◽  
Guimei Liu ◽  
Charly Régnier ◽  
Xiaodi Kuang ◽  
...  

Abstract. In this paper, the performances of two operational ocean forecasting systems, Mercator Océan (MO) in France and South China Sea Operational Forecasting System (SCSOFS) in China, have been examined. Both systems can provide science-based nowcast/forecast products, such as temperature, salinity, water level and ocean circulations. Based on the observed satellite and in-situ data have been obtained in 2012 in the South China Sea, the comparison and validation of the ocean circulations, the structures of the temperature and salinity, and some mesoscale activities are shown. Comparing with the observation, the ocean circulations and SST of MO show better results than those of SCSOFS. However, the structures of temperature and salinity of SCSOFS are better than those of MO. For the mesoscale activities, SST fronts and SST decreasing during the typhoon Tembin of SCSOFS are better agreement with the previous study or satellite data than those of MO; but both of them show some differences from AVISO data. Finally, according to the results compared in above, some suggestions have been proposed for both systems to improve their performances in the near further.


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