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Optimal Design of Observational Networks (ODON) Optimal Design of Observational Networks (ODON) Partners Danish Meteorological Institute, Denmark; The.

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Presentation on theme: "Optimal Design of Observational Networks (ODON) Optimal Design of Observational Networks (ODON) Partners Danish Meteorological Institute, Denmark; The."— Presentation transcript:

1 Optimal Design of Observational Networks (ODON) Optimal Design of Observational Networks (ODON) Partners Danish Meteorological Institute, Denmark; The Management Unit of the North Sea Mathematical Models, Belgium; Proudman Oceanography Laboratory, United Kingdom; Swedish Meteorological and Hydrological Institute, Sweden; Bundesamt fuer Seeschiffahrt und Hydrographie, Germany. Objectives The general goal of the project is to: 1. investigate/develop quantitative methods for the optimal design of observing systems for nowcasts/forecasts in coastal/shelf seas, 2. demonstrate these techniques on SST and T/S profile observing networks in the Baltic and North Sea Results (1) ODON database – 2001 includes: Satellite SST products: NOAA AVHRR 12, 14 and 16; in-situ SST, CTD profiles, currents, water level, waves, 1nm bathymetry and daily river run-off. Fig. 1. In-situ T/S stations, 2001 from GTS, buoys, monitoring cruises, ferrybox and undulated profilers

2 Optimal Design of Observational Networks (ODON) Optimal Design of Observational Networks (ODON) Relevance for Society GMES Final Report recommendations 6 and 7: assessment existing satellite and in-situ observing system GMES Final Report recommendations 6 and 7: assessment existing satellite and in-situ observing system Optimise national or regional monitoring networks: BOOS, NOOS, EuroGOOS, HELCOM, OSPARCOM, and national monitoring agencies Optimise national or regional monitoring networks: BOOS, NOOS, EuroGOOS, HELCOM, OSPARCOM, and national monitoring agencies Operational modelling community: test base observations and model data; new generation EU community model COHERENS (f90, parallelized, with data assimilation) and Baltic Sea model HIROMB Operational modelling community: test base observations and model data; new generation EU community model COHERENS (f90, parallelized, with data assimilation) and Baltic Sea model HIROMB Marine SMEs: ODON make recommendations for the most cost- effective technology synergy for European marine monitoring Marine SMEs: ODON make recommendations for the most cost- effective technology synergy for European marine monitoring Results (2) Assessment of existing SST observing networks Assessment of existing SST observing networks Current satellite-in-situ observing system in the Baltic and North Sea is in general sufficient for generating daily gridded SST maps in 10km resolution, provided all the data resources can be fully exploited. This includes AATSR, 3 NOAA-AVHRR, GTS, monitoring cruises, buoys, Ferry boxes and national coastal stations. Current satellite-in-situ observing system in the Baltic and North Sea is in general sufficient for generating daily gridded SST maps in 10km resolution, provided all the data resources can be fully exploited. This includes AATSR, 3 NOAA-AVHRR, GTS, monitoring cruises, buoys, Ferry boxes and national coastal stations. Implement as necessary Implement as necessary More observations should be made available in the eastern Baltic and coastal upwelling area, e.g., ferrybox lines from Riga – Helsinki and from Klaipeda – Sassnitz. More observations should be made available in the eastern Baltic and coastal upwelling area, e.g., ferrybox lines from Riga – Helsinki and from Klaipeda – Sassnitz.


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