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Atlantic Area Data Report with IFREMER, RIHMI-WDC, IHPT, and IEO Contributions

This report provides a comprehensive inventory of data received from various sources in the Atlantic area, including details on quality checks, processing steps, and nutrient parameters. It covers datasets on nitrate, ammonium, phosphate, and silicate levels before and after quality control procedures. The report also addresses assumptions, conversions, detection limits, and distribution of various parameters. Challenges faced, such as data coverage, handling values below detection, and managing estuaries, are discussed. Valuable insights and recommendations for dealing with data discrepancies and improving data quality are included.

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Atlantic Area Data Report with IFREMER, RIHMI-WDC, IHPT, and IEO Contributions

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  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 • 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

  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?

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