Report on Atlantic area

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

2. 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!

3. Data inventory (2)

4. Quality Checks • Unit conversion and aggregation • 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 • Deletion of lines with negative depth • 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

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

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

7. 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

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

9. NO2-NO3 before and After QC

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

11. Nox distribution

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

13. 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

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

15. AMMONIUM before and After QC

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

17. amon distribution

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

19. 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

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

21. PHOSPHATE before and After QC

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

23. PHOS distribution

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

25. 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

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

27. SILICATE before and After QC

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

29. SLCA distribution

30. 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?