Experience on the use of MyOcean products for the marine resources sector. IST SubWP 18 Leader

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1 Experience on the use of MyOcean products for the marine resources sector IST SubWP 18 Leader Campuzano F.J.

2 Objectives A. To provide structured assessment of the MCS products by existing mature National Systems / Services in the area of Marine Resources and provide feedback to producing units (MFCs and TACs) B. Interact with fisheries relevant European and International organizations C. Update the User Requirement Document (URD) for Marine Resources and receive feedback from ICES and other

3 Partners ICES International Council for the exploration of the Sea (International) BSC Black sea commission (International) INRH Institut National de Recherche Halieutique (Morocco). DTU-AQUA Denmark National Institute of Aquatic Resources UL University of Latvia IMR Institute of Marine Research (Norway) IST Instituto Superior Técnico (Portugal) IFREMER French Research Institute for the Exploitation of the Sea

4 IST SubWP 18 Leader What we do? Intermediate users receive and supply information End users Use of produced data for research applications Using data directly from Mercator (downstream service) and other data providers Applications: West Iberia Operational regional model forcing / validation (SST, sea level) Azores Operational model forcing / validation Biogeochemical operational modeling for both applications

5 Provided products Hydrodynamics sst, chl a, surface sea level But also we can provide nutrients, toxic algae blooms (Project Asimuth) Trophic chain dynamics I.E. Azores case (Project Easy-co)

6 West Iberia Operational Model MODIS L2 PCOMS-MOHID ODYSSEA MODIS L2 PCOMS-MOHID ODYSSEA 22 Feb 2009 DIFFERENCE ODYSSEA minus PCOMS-MOHID DIFFERENCE ODYSSEA minus PCOMS-MOHID

7 West Iberia Operational Model Ammonia Phosphate Nitrate Phytoplankton

8 Potential Fishing Zones Prediction In Azores Region It has been regarded as a valid approach to a more sustainable and effective way of fishing / opposite to a non-scientific, random choosing of fishing spots Very active field of work in the last 10 years: in East Indian Ocean countries, Southeast Asia, Japan, Canada and Brazil

9 Potential Fishing Zones Prediction In Azores Region The methodology can be extended to other species and other regions Region: Species: Azores Bigeye tuna (Thunnus obesus) Skipjack tuna (Katsuwonus pelamis) Data: Time series ( ) of reanalysis product (GLORYS) Chlorophyll data (remote sensing) Fisheries database Execution: 1 - Validation of MERCATOR product in the Azores Region 2 - Apply the proposed methodology

10 Potential Fishing Zones Prediction In Azores Region Skipjack tuna (Katsuwonus pelamis) Bigeye tuna (Thunnus obesus)

11 Potential Fishing Zones Prediction In Azores Region MERCATOR SOLUTION LOCAL HYDRODYNAMICAL SOLUTION PFZ PREDICTION FISHING TRIP DATA ONLY IN RANGE ESTIMATION TIME BIO-GEO-CHEMICAL SOLUTION REMOTE SENSING

12 Variables Temperature Salinity Chlorophyll Currents Sea surface height Bathymetry Dissolved Oxygen Mixed layer depth Eddies Fronts SST High and Med. Res. SSTC Med. Res. & Overview

13 Potential Fishing Zones Prediction In Azores Region Identifying SST fronts (Cayulaand Cornillion(1992) edge detection algorithm) AVHRR Daytime SST 03-Jan-2005 Example output

14 Azores Operational Model

15 PFZ Results

16 Other PFZ Results The web tool could also provide other information (economical benefit): Time estimation to reach fishing ground locations. Estimation of the operational cost. Prediction of fisherman income. Information on the oceanographic phenomena, i.e. upwelling, front and eddy.

17 Thank you very much for your attention!! Tack för din uppmärksamhet Muito obrigado pela vossa atenção!!

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