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Report on Atlantic area. With IFREMER, RIHMI-WDC, IHPT and IEO contributions. Summary. Inventory, progress since one year Plan for next year Aggregated dataset of nutrients Quality checks Data coverage Product. MFSD Atlantic areas. Bay of Biscay Iberian coast Macaronesia.
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Report on Atlantic area With IFREMER, RIHMI-WDC, IHPT and IEO contributions
Summary • Inventory, progress since one year • Plan for next year • Aggregated dataset of nutrients • Quality checks • Data coverage • Product
MFSD Atlantic areas • Bay of Biscay • Iberian coast • Macaronesia
Data inventory - IEO Mussels Sediments Restricted Access (SDN policy)
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
Data inventory - IHPT Water samples Sediment samples
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)
Data inventory - IFREMER • 2 sources: • Cruises data (SISMER) • Coastal monitoring networks (Quadrige) – 1 nm • fromshorelineatmaximun Public access Few data on radionucleids and pharmaceuticals
New Data available Data from Monitoring Networks (Quadrige²) – Coastal data for France Workdoneduring the 1st phase of Emodnet – Number of CDIscreated per parameter group
New Data available Data from Monitoring Networks (Quadrige²) – Coastal data for Atlantic Workdoneduring the 1st phase of Emodnet – Number of CDIscreated per parameter group
For nextyear • Temporal series: focus on sediment, Update for existingCDIs • New cruisescollected by SISMER (PELGAS 2004 – 2011) • FinalizeCDIsintegration and data QC for partners • Productsgeneration
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!
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
Nutrientsparameters • Nitrate and Nitrite • Ammonium • Phosphate • Silicate
NO2 – NO3 DATA, before QC (1) • 10 268 vertical profiles, received as
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
NO2-NO3 data, After QC (1) • 7 272 vertical profiles
NO2 – NO3 data, after QC (2) • 7 272 vertical profiles 3 detection limits • 0.24 µmol/l • 0.5 • 0.7
AMMONIUM DATA, before QC (1) • 5 333 vertical profiles, received as
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
AMMONIUM data, after QC (1) • 4 994 vertical profiles
AMMONIum data, after QC (2) • 4 994vertical profiles 3 detection limits • 0.7 µmol/l • 0.96 • 1.0
Phosphate data, before QC (1) • 9173 vertical profiles, received as
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
phosphate data, after QC (1) • 8 832 vertical profiles
phosphate data, after QC (2) • 8 832 vertical profiles 3 detection limits • 0.03 µmol/l • 0.07 • 0.2
SIlicate data, before QC (1) • 7 611 vertical profiles, received as
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
silicate data, after QC (1) • 7 071 vertical profiles
SILICAte data, after QC (2) • 7 071 vertical profiles 2 detection limits • 0.1 µmol/l • 0.3
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?
For nextyear • Temporal series: focus on sediment, Update for existingCDIs • New cruisescollected by SISMER (PELGAS 2004 – 2011) • FinalizeCDIsintegration and data QC for partners • Productsgeneration