Report on Atlantic area

1. Report on Atlantic area With IFREMER, RIHMI-WDC, IHPT and IEO contributions

2. Summary • Inventory, progress since one year • Plan for next year • Aggregated dataset of nutrients • Quality checks • Data coverage • Product

3. MFSD Atlantic areas • Bay of Biscay • Iberian coast • Macaronesia

4. Data inventory - IEO Mussels Sediments Restricted Access (SDN policy)

5. Data inventory – RIHMI-WDC - Atlantic Sea – 5484 russian (f. USSR) cruises, 647600 stations - Data coverage for oceanographic stations of Atlantic Ocean http://portal.esimo.ru/dataview/viewresource?resourceId=RU_RIHMI-WDC_2359

6. Data inventory - IHPT Water samples Sediment samples

7. Number of CDIs for Atlantic per Partner

8. Data inventory - IHPT Number of CDIsaddedduring the first year: 15 datasets (seawater) • Planned for nextyear: • Parameters in Seawater (2 projects, 75 time series stations), • Parameters in Sediment (6 projects, 379 stations)

9. Data inventory - IFREMER • 2 sources: • Cruises data (SISMER) • Coastal monitoring networks (Quadrige) – 1 nm • fromshorelineatmaximun Public access Few data on radionucleids and pharmaceuticals

10. New Data available Data from Monitoring Networks (Quadrige²) – Coastal data for France Workdoneduring the 1st phase of Emodnet – Number of CDIscreated per parameter group

11. New Data available Data from Monitoring Networks (Quadrige²) – Coastal data for Atlantic Workdoneduring the 1st phase of Emodnet – Number of CDIscreated per parameter group

15. Time seriesexamples

16. Time seriesexamples

19. For nextyear • Temporal series: focus on sediment, Update for existingCDIs • New cruisescollected by SISMER (PELGAS 2004 – 2011) • FinalizeCDIsintegration and data QC for partners • Productsgeneration

20. Data inventory (1) • Data received in two separated sets • Data collected by MARIS robot (8 757 CDIs) • 8 489 stations of vertical profiles, 268 time series • Additional Spanish data which were not available when the robot run (2 780 CDIs, vertical profiles) Potential duplicates!

21. Data inventory (2)

22. Quality Checks • Deletion of empty stations (No measurements on all levels for the parameter) • Deletion of empty lines in a station : some levels with no measurements for the parameter • Search for duplicates (linked to the 2 distinct datasets) • QC using ODV • Search for out of range values with Flag = 1 • Set a QC for all measurements with Flag=0 • Set default values with Flag=0 or Flag=1 to Flag=9 • Write a report on QC and send results to data providers

23. Nutrientsparameters • Nitrate and Nitrite • Ammonium • Phosphate • Silicate

24. NO2 – NO3 DATA, before QC (1) • 10 268 vertical profiles, received as

25. NO2 – NO3 DATA, BEFORE QC (2) • Output parameter for product = • NOx = Nitrite+Nitrate [µmol/l] • Assumptions • When only Nitrate available  assumption that it is Nitrate+Nitrite • When only Nitrite measurements : data not kept • Conversions • Conversion from µmol/kg  µmol/l: • using ODV conversion Any µmol/kg to Any µmol/l • Conversions from µg/l  µmol/l: • NO2+NO3/14.00670

26. NO2-NO3 data, After QC (1) • 7 272 vertical profiles

27. NO2-NO3 before and After QC

28. NO2 – NO3 data, after QC (2) • 7 272 vertical profiles 3 detection limits • 0.24 µmol/l • 0.5 • 0.7

29. AMMONIUM DATA, before QC (1) • 5 333 vertical profiles, received as

30. Ammonium DATA, BEFORE QC (2) • Output parameter for product = • Ammonium [µmol/l] • Conversions • Conversion from µmol/kg  µmol/l: • using ODV conversion Any µmol/kg to Any µmol/l • Conversion from µg/l  µmol/l: • Ammonium/14.00670 assuming it is N µg/l

31. AMMONIUM data, after QC (1) • 4 994 vertical profiles

32. AMMONIUM before and After QC

33. AMMONIum data, after QC (2) • 4 994vertical profiles 3 detection limits • 0.7 µmol/l • 0.96 • 1.0

34. Phosphate data, before QC (1) • 9173 vertical profiles, received as

35. PHosphate DATA, BEFORE QC (2) • Output parameter for product • Phosphate [µmol/l] • Conversions • Conversion from µmol/kg  µmol/l: • using ODV conversion Any µmol/kg to Any µmol/l • Conversion from µg/l: • Phosphate/30.97376 assuming it is P in µg/l

36. phosphate data, after QC (1) • 8 832 vertical profiles

37. PHOSPHATE before and After QC

38. phosphate data, after QC (2) • 8 832 vertical profiles 3 detection limits • 0.03 µmol/l • 0.07 • 0.2

39. SIlicate data, before QC (1) • 7 611 vertical profiles, received as

40. silicate DATA, BEFORE QC (2) • Output parameter for product • Silicate [µmol/l] • Conversions • Conversion from µmol/kg  µmol/l: • using ODV conversion Any µmol/kg to Any µmol/l • Conversion from µg/l  µmol/l : • Silicate/28.08550 assuming it is Si in µg/l

41. silicate data, after QC (1) • 7 071 vertical profiles

42. SILICATE before and After QC

43. SILICAte data, after QC (2) • 7 071 vertical profiles 2 detection limits • 0.1 µmol/l • 0.3

44. DIVA PRODUCTS – PROBLEMS faced • Data coverage: for Ammonium, Silicate, Nitrate • Whatis a « reasonable » coverage for a product? • How to make the mask? New topography or masked area? • Data with QF=6 (value belowdetection): how to deelwith? • put value to limit • put value to 0 • How to deal withestuaries?

45. For nextyear • Temporal series: focus on sediment, Update for existingCDIs • New cruisescollected by SISMER (PELGAS 2004 – 2011) • FinalizeCDIsintegration and data QC for partners • Productsgeneration