1. Data aggregation and products generation in the Mediterranean Sea
EMODnet Chemistry 3, Kick-Off Meeting,
  Trieste, Italy, May 2017
Data aggregation and products generation in the Mediterranean Sea
Sissy Iona, HCMR-HNODC

2. Outline Progress so far (EMODnet Chemistry 2, 2013-2016)
Fertilizers, Chl-a, Oxygen
Contaminants
Next activities (EMODnet Chemistry 3, )

3. Data aggregation and products generation in Mediterranean Sea
The activity included 4 steps:
data harvesting by a robot harvester system and delivery to regional leaders
regional data aggregation including parameter harmonisation (using ODV)
regional quality control using and data validation (using ODV)
development of regional data products (using DIVA), create metadata for products discovery

4. Regional data harvesting
April 2014 => nutrients
October 2014 => completed the 1st harvest nutrients, with additional data and metadata
March 2016 => contaminants, Oxygen, Chl-a
Harvests
Nb of stations (CDIs)
April 2014
29 583
October 2014
34 321
March 2016
96 349
Totals:

5. 22 Data Providers, 17 countries (80 data originators)

6. Data Aggregation & harmonization
The ODV software was used for the automate parameter aggregation of data sets from the multiple sources e.g.
more than 15 parameter codes for seawater dissolved oxygen in common use due to different units, collection methods, names, etc

7. Quality Controls Observations (fertilizers, Chl-a, Oxygen)
Broad range control checks:
High values
Default not null values
Negatives were excluded
Zero values
Duplications checks
Comparison of each profile with a spatially averaged profiles, values outside
the “mean ± 3 stdev”
were rejected

8. An example of QC on Oxygen
Wrong units

9. Feedback loop with data providers
All corrections done to the data (mainly to flags) and metadata were sent to data providers in order to update their local data sets :
improve Mediterranean data (both at local and regional level)
Avoid doing the same errors at regional level
at the next cycle of harvesting

10. Feedback loop with data providers
All corrections done to the data (mainly to flags) and metadata were sent to data providers in order to update their local data sets :
improve Mediterranean data (both at local and regional level)
Avoid doing the same errors at regional level
at the next cycle of harvesting
Don’t forget to correct your files when you are notified to do so

11. Inventory – aggregated data distributions
profiles
7 628 profiles
profiles
profiles
5 393 profiles

12. Inventory – aggregated data distributions
profiles
5 623 profiles
23 102profiles
profiles
profiles

13. horizontal interpolation
Analysis settings based on data distributions and project needs:
Seasons for Mediterranean: 0103, 0406, 0709, 1012
Time frame: 10-years running averages
Vertical resolution: IODE standards depths
Correlation length: averaged seasonal profiles (depending on data distributions)
S/N=3 (constant in all depths)
Mean of values as background field
Both open sea profiles and coastal monitoring stations (time series) were used and applied data weighting both to profiles and to time series (to reduce the influence of close measurements)
Logarithmic transformation applied to the data prior to the analysis to avoid negative results

14. products Parameter Years Seasons Depth interval Phosphates 1960 - 20134
Total P
Nitrates
Nitrites
Nitrate+Nitite
Ammonium
Total N
Silicates
Oxygen
1971 – 2013
Chl-a

15. Horizontal distribution
Water depth (m):
surface 5 10 20 30

16. Products on Ocean browser service
1980
1990 a b
Spring surface distribution of phosphate (µmol/l) for the decades (a), (b), (c), and (d).
10-year running mean centred on the year indicated
2000
2009 c d

17. Influence of coastal data and river inputs

18. Influence of coastal data and river inputs
Usage of variable Correlation Length depending on the depth in the next updates

19. Contaminants, 3rd harvest, Mar. 2016
6718 CDIs received (3rd harvest Mar.2016)
With 1065 user parameters names, 935 P01 terms
6178 CDIs imported successfully at ODV
format problems, wrong extensions, wrong primary variable, empty files
5878 CDIS aggregated
at 220 P35 terms as priority variables according to the EMODnet Chemistry aggregations rules*, Oct. 2016
Nb of CDIs
Water column
Biota
Sediment
Totals
4 483
329
5 380 *(

20. Contaminants distribution (water, sediment, biota)

21. Contaminants - Summaries in Mediterranean

22. Contaminants - Summaries in Mediterranean

23. Contaminants distributions

24. Contaminants distributions

25. Contaminants distributions

26. Next Activities
Regional leaders, under WP3: Generation of data products
WP 3.1: Generating harmonised, aggregated and validated data collections and DIVA maps of eutrophication (M14)
WP 3.2: Generating harmonised, aggregated and validated data collections and DIVA maps on contaminants (M20)
WP 3.3: Generating validated data collections and maps for marine litter and beach litter (M12)

27. Next Activities
Partners (start from M1) and as a follow up of this training:
overview/correct the present CDIs for possible inconsistencies
add extra info about qa-qc processes, laboratory methods, include info if it is from a monitoring activity and don’t forget to include also CSR references
populate more nutrients, contaminants, oxygen, chlorophyll data and the new type: marine litter