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Tanajura, C.
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Tanajura, C.
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- PublicationOpen AccessStatus and future of global and regional ocean prediction systems(2015)
; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Tonani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia ;Balmaseda, M.; European Centre for Medium Range Weather Forecasts, Shinfield Park, Reading, UK ;Bertino, L.; Nansen Environmental and Remote Sensing Center, Bergen, NORWAY ;Blockley, E.; Met Office, Exeter, UK. ;Brassington, G.; Bureau of Meteorology, Melbourne, Victoria, AUSTRALIA ;Davidson, F.; Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, CANADA ;Drillet, Y.; MERCATOR-OCEAN, Toulouse, FRANCE. ;Hogan, P.; NRL, Stennis Space Center, USA ;Kuragano, T.; Meteorological Research Institute, JMA, JAPAN. ;Lee, T.; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA ;Mehra, A.; NOAA/National Centers for Environmental Prediction, College Park, Maryland, USA ;Paranathara, F.; Indian National Centre for Ocean Information Services, INDIA ;Tanajura, C.; Physics Institute, Federal University of Bahia (UFBA), Salvador, BRAZIL ;Wang, H.; National Marine Environmental Forecasting Center (NMEFC), Beijing, People's Republic of CHINA; ; ; ; ; ; ; ; ; ; ; ; ; Operational evolution of global and regional ocean forecasting systems has been extremely significant in recent years. GODAE (Global Ocean Data Assimilation Experiment) Oceanview supports the national research groups providing them with coordination and sharing expertise among the partners. Several systems have been set up and developed pre-operationally and the majority of these are now fully operational; at the present time, they provide medium- and long-term forecasts of the most relevant ocean physical variables. These systems are based on ocean general circulation models (OGCMs) and data assimilation techniques that are able to correct the model with the information inferred from different types of observations. A few systems also incorporate a biogeochemical component coupled with the physical system while others are based on coupled ocean-wave-ice-atmosphere models. The products are routinely validated with observations in order to assess their quality. Data and products implementation and organization, as well as service for the users has been well tried and tested and most of the products are now available  to the users. The interaction with different users is an important factor in the development process. This paper provides a synthetic overview of the GODAE Oceanview prediction systems.386 576 - PublicationOpen AccessAssessing the impact of observations on ocean forecasts and reanalyses: Part 2, Regional applications(2015)
; ; ; ; ; ; ; ; ; ;Oke, P.; CSIRO Marine and Atmospheric Research, Hobart, Tasmania, Australia ;Larnicol, G.; CLS-Space Oceanography Division, Ramonville-Saint-Agne, France ;Jones, E.; CSIRO Marine and Atmospheric Research, Hobart, Tasmania, Australia ;Kourafalou, V.; niversity of Miami/RSMAS, Miami, FL USA ;Sperrevik, A. K.; Norwegian Meteorological Institute, Oslo, Norway ;Carse, F.; Met Office, Exeter, UK ;Tanajura, C.; Physics Institute, Federal University of Bahia (UFBA), Salvador, Brazil ;Mourre, B.; SOCIB, Palma de Mallorca, Spain ;Tonani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia; ; ; ; ; ; ; ; The value of global (e.g., altimetry, satellite sea-surface temperature, Argo) and regional (e.g., radars, gliders, instrumented mammals, airborne profiles, biogeochemical) observation-types for monitoring the mesoscale ocean circulation and biogeochemistry is demonstrated using a suite of global and regional prediction systems and remotely-sensed data. A range of techniques is used to demonstrate the value of different observation-types to regional systems and the benefit of high- resolution and adaptive sampling for monitoring the mesoscale circulation. The techniques include Observing System Experiments, Observing System Simulation Experiments, adjoint sensitivities, representer matrix spectrum, observation footprints, information content and spectral analysis. It is shown that local errors in global and basin-scale systems can be significantly reduced when assimilating observations from regional observing systems.303 227