- Task 5.1 Assessment and Coordination of Regional Observing
- Task 5.2 Application of regional ocean observing: climate and ecosystem
- Task 5.3 Regional Observing system simulation experiments and process modeling
Regional Observing system simulation experiments and process modeling
Lead: CNRS (Pierre Brasseur)
The objective of this task is to investigate the defined “optimal sampling” through the OSSE approach. The application will be on regional scales (subpolar gyre in the North Atlantic and the subtropical gyre in the South Atlantic) with increased resolution and an extended parameter portfolio (complementing the basin scale activities in WP1) [D5.4; CNRS]. This activity will provide recommendations for the resolution and sampling of observing systems relative to predefined skills. The skill is defined via the overarching topics climate and ecosystems. Complementing the large scale, statistical optimization approach via OSSEs (WP1) we will develop an ecosystem module [CLS] that utilizes multiple in-situ and satellite data as input to derive predictions for different trophic levels including fish [D5.5] and has the potential to be implemented into the routine services supported by a future IAOOS. With physical and biogeochemical variables becoming available in real-time, the real-time monitoring of marine resources relying on the development of ecosystem models is envisaged.
D5.4 Optimal design of regional sampling based on OSSE: Report on the investigations on the optimal design of regional ocean observing related to climate and ecosystems in the subpolar North Atlantic and the subtropical South Atlantic. Different resolution sampling and multiparameter sampling will both be explored.PM42
D5.5 Optimal design of ecosystem module: An ecosystem module of several functional groups representing the intermediate levels of the oceanic food web (zooplankton and micronekton) will be applied and optimized with acoustic data in the subpolar North Atlantic and the subtropical South Atlantic. Optimal design of acoustic sampling will be investigated and the module will be prepared for integration into the operational system in support of Task 8.7. PM42