Technologies & methodologiesfor operational systems ENEA, CNR, DMI, Ifremer Annual Meeting – Athens 2008

The Framework WP7 - Synergy between coastal forecasting and newly available data and methodologies (a step towards next generation forecasting systems) –T7.1 - The observing systems

Environmental regions A complex environment composed by different biogeographical areas: coastal, shelf and open sea. Shelf areas - two boundary layers: – near the coast – on the shelf break

Objective Define new strategies and technologies for a multi-purpose, multi-disciplinary, multiplatform integrated shelf-costal observing system. – Review existing technologies and sampling strategies – Provide a preliminary design of an operational observing system – Use the experience carried out at regional level

Activities S System analysis – Review existing technologies and sampling strategies S System design Provide a preliminary design of an operational observing system based on model requirements

Elements Any operational monitoring system must be based on technology and methodology Technology: for data collection and transmission Methodology: monitoring design

Review of techn. Review of existing technologies, possible implementation New technologies

SEPTR - this new apparatus has the ability of vertical profiling (CTD and ADCP) also in the risky coastal environment, where human activities always harm oceanographic studies. earch/septr.htm

New techn. PAGODE and RecoPesca are new technologies under testing by Ifremer and CNR Ifremer will test the PAGODE in the IBI- ROOS area 4 cm

Sampling strategies The marine environment is dramatically under sampled, and any proposed strategy could be not satisfactory. There is a need to have an oversampling that allows to select the areas were major changes are detected and where measurement stations must be placed.

Sampling His proposed a method that is based on a “synthetic oversampling”, in which random stations are created by using historical data with statistical constraints. The methods starts from She et al. (ODON) Original stations Synthetic stations

Sampling

Original dataSynthetic data temperature

Original dataSynthetic data Salinity

Sampling density based on high variability Qualitatively Read areas = more stations Blue areas = few stations

Assessment of the method Independent data sets –Comparison with satellite SST has been done –Encouraging results, but need more tests

Deliverables D Review of the existing sampling methodologies in the European regional seas PU 6* D Definition of new operational methodologies for multiparametric measurements PU 12 D Design of long term monitoring system: technology PU 18* *Combined in one report