Objective
The main objective of this proposal is
To develop an advanced data assimilation system for a coupled primitive equation ocean circulation and marine ecosystem model for the North Atlantic and the Nordic Seas with enhanced resolution in the European coastal zones.
We will further develop, implement, and validate advanced data assimilation techniques for a coupled OGCM and ecosystem model and the data assimilation system will be demonstrated in real time operation. The capabilities of the system and of current observing systems will be assessed with respect to real time operational use.
We will in this proposal focus on the use of satellite observations, i.e. sea-surface height (SSH) observations from radar altimeter data and sea-surface temperature (SST) from AVHRR data will be assimilated in the physical model, while ocean color data from CZCS, SeaWIFS and MOS will be assimilated in the ecosystem model.
The models to be used by all partners in the project are the Miami Isopycnic Coordinate Ocean Model (MICOM) and an ecosystem model based on the Fasham, Ducklow and McKelvie model (FDM).
Advanced data assimilation techniques like the Ensemble Kalman Filter, the Ensemble Smoother, the Singular Evolving Extended Kalman filter, and a multivariate Optimal Interpolation method will be implemened and used in the operational data assimilation system.
The major outcomes in terms of products are:
1. A general and portable "pre"-operational ocean monitoring and forecasting system which has be validated for the North Atlantic and the Nordic Seas. The system will be easily portable to new regions with arbitrary resolution. By using a modular approach in software design it will even be possible to use the system with other numerical models than those used in this particular project.
2. Properly evaluated data assimilation techniques which can be applied also with other OGCMs and marine ecosystem models.
3. The use of advanced data assimilation methods provide estimates of error statistics such as correlation scales and cross correlation between different variables, i.e. information which is of crucial importance for designing a consistent data assimilation system.
4. An evaluation of the capability of currently available earth observations to control the evolution of the model system when used in an operational context.
The proposal will for the first time establish an operational capability for coupled physical and ecosystem models in the North Atlantic and the Nordic Seas, where satellite information is assimilated using advanced data assimilation methods.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- engineering and technologymaterials engineeringcolors
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- natural sciencesbiological sciencesecologyecosystems
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Topic(s)
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
5059 BERGEN
Norway