ECOOP WP6: Assessment and Optimal Design of Observational Networks

1. ECOOP WP6: Assessment and Optimal Design of Observational Networks Jun She Centre for Marine Forecasting DMI

2. ECOOP pan-E Observing System Components Tools for system quality Insurance Systems to generate products Demonstration of system functions Products Systems to Present products Serve end-users

3. ECOOP products flow Obs. Data WP1, WP3 2nd level Value added products assimilation 1st level Value added products QC, RS-in situ 3rd level Value added products indicators

4. ECOOP systems to generate products Forecasting Nowcasting Hindcasting systems Pan-E Observing Networks Pan-E Data Management System Integration WP1 Assessment, design WP6 Integration WP2, 4, 5 Development WP8, 9, 10, 11 WP3 Tools for system quality insurance

5. Objectives • Assess the effective coverage, cost, quality of T/S observing networks in European regional seas • Assess the effective coverage, cost and quality of biochemical monitoring networks in targeted areas (South North Sea, Baltic) • Rational design of existing regional marine monitoring networks (to identify additional requirements)

6. Methods and tools • Methodology developed in EU FP5th project ODON will be adopted: • Historical database • Implementation of data assimilation as necessary • Proxy ocean generation (re-analysis) • Estimate effective coverage by using (model) ocean characteristic scales

7. Methods and tools (Cont.) • Estimate effective coverage by using (model) ocean characteristic scales • Information analysis to identify key locations for basin scale modelling • Cost calculation

8. Methods and tools (Cont.) • Assess the quality of existing observing networks by using OSEs (Observing System Experiments) • Identify further requirements: • Sampling strategy design • Observing System Simulation Experiment

9. Workload consideration • ODON gets €1.5M for doing the optimal design of Baltic-North Sea T/S observing networks (not sufficient) • A pan-E T/S and biochemical observing network design will need at least €3M • Solution: • Distributed workload in ECOOP, • Simplify the methodology

10. Inputs from other WPs • Historical database will be prepared in WP3 or WP12 • A multi-year satellite and in-situ chlorophyll dataset (WP7)

11. Inputs from other WPs • Implementation of assimilation schemes for biochemical parameters will be done in WP9 • Multi-year model ocean (re-analysis) will be done in WP12

12. Major works in WP6 • Scale analysis and effective coverage estimation based on satellite and in-situ Chlorophyll observations • Estimate effective coverage by using model ocean characteristic scales • Information analysis to identify key locations for basin scale modelling

13. Major works (cont.) • Cost calculation • Assess the quality of existing observing networks by using OSEs (Observing System Experiments) • Identify further requirements: • Sampling strategy design • Observing System Simulation Experiment

14. Other tasks in WP6 • Project management • A component of EuroDESS for GMES and GEO • User groups • Questions raised in GMES and GEO related to European regional sea monitoring networks • Dissemination of the results

15. Other tasks (Cont.) • Documenting existing T/S and biochemical observing networks • Technology transfer (from existing ODON knowledge)

16. Workload and tasks • WP6.1 Assessment of satellite in-situ Chlorophyll observing networks (18M) • WP6.2 Pan-E Assessment of existing T/S monitoring networks (48M) • WP6.3 Assessment of Biochemical monitoring networks for targeted areas (48M) • WP6.4 Rational network design • Sampling strategy design (24M) • Observing System Simulation Experiment (36M)

17. Workload (210M in total) • Project management (15M) • Documenting existing T/S and biochemical observing networks (3M) • A component of EuroDESS for GMES and GEO (12M) • Technology transfer from ODON to regional partners (6M)

18. Partner selection • Satellite in-situ chlorophyll network assessment (1 partner doing OSEs) • Shelf Sea T/S assessment (1-2, OSEs) • Med Sea T/S assessment (1, OSEs) • Black Sea T/S assessment (1, OSEs) • Bay of Biscay T/S assessment (1, OSEs) • 1 partner doing statistical assessment (documenting existing, scale analysis, effective coverage and cost analysis)

19. Partner selection • 1-2 doing statistical sampling design • 1 doing biochemical OSSE for NW shelf • 1 doing biochemical OSSE for Baltic

20. Some remarks • The WP would prefer to limit the total number of partners to 6-7 • No model development will be included in WP6, therefore models used in WP6 doing OSEs and OSSEs have to be • The state-of-the-art in the region • tested for parallel computing on available computing platform and • data assimilation technique implemented, well tested in 2007 for the relevant region

21. Thank you !

22. ECOOP contribution to pan-E observational networks • Pan-E observation data Interoperability WP1 • Data exchange and NRT delivery WP1 • Quality controlled and distributed pan-E observation database WP3 • Assessment of existing pan-E observing networks WP6 • Optimal design of pan-E observing networks WP6

23. ECOOP contribution to pan-E observational networks • Value added products from pan-E observational networks • Optimal synergy between satellite and in situ WP7 • Assimilation products WP9, WP12 • Systems to generate value-added products: WP2, WP4 • Information system to serve end users WP5 • Quality stamps of the products: WP