1. Data aggregation and products generation in the Mediterranean Sea
EMODnet Chemistry 3, First Annual Meeting,
  Roskilde, Denmark, February 2018
I will make the presentation on behalf of Sissy Iona, who could not attend
Sissy Iona
HCMR-HNODC

2. Data aggregation and products generation in Mediterranean Sea
The activity includes:
Eutrophication data harvest, by MARIS, November 2017 (completed)
Data aggregation, November 2017 (completed)
in case of Mediterranean the aggregation was done by Reiner Schlitzer, with the latest ODV5.0 beta
in communication with the coordinators & regional leader on which P35 terms to include
Quality control using and data validation using the latest ODV4 (on going)
Preparation of the data products (using DIVAnd preferably) and the corresponding metadata for the products catalogue (end of April, M14)
As it was already presented by the previous regional leaders, the activity includes 4 steps:
1) the Eutrophication data harvest, that was done by MARIS using a robot harvester system. Harvested data were received by HCMR on November 2017.
2) For the Mediterranean the aggregation was done by Reiner Schlitzer in communication with the coordinators – regional leaders on which P35 terms to include
3) Currently, we are performing the quality control of the data
4) Finally, we are going to prepare the DIVA maps, end of April 2018
2/28/2019

3. Aggregated collections for Mediterranean
31 P35 aggregated parameterss
4 aggregated collections:
Non-Restricted Data
profiles
time series
Restricted Data
P01 codes are maintained (a new feature in ODV5)
The aggregated data are split in four collections: restricted on non-restricted profile and time series data.
Within each collection all the identified P35 parameters are maintained, but not necessarily all columns contain measurements.
P01 codes are maintained in the collections so as to know where the P35 aggregated data come from.

4. Content of aggregated collections – Profile data
Parameters
Number of profiles
Number of points
Period
Ammonium [umol/l]
7215
41721
Chlorophyll-a [mg/m^3]
17267
Dissolved oxygen concentration [umol/l]
48482
Nitrate [umol/l]
13792
108923
Nitrate plus nitrite [umol/l]
1523
14742
Nitrite [umol/l]
12975
91858 pH
15189
228259
Phosphate [umol/l]
15758
117267
Silicate [umol/l]
13892
106650
Total nitrogen [umol/l]
1032
2316
Total phosphorus [umol/l]
1383
3196
Non restricted profiles:
60876
Restricted profiles:
40650
Parameters
Number of profiles
Number of points
Period
Ammonium [umol/l]
6955
21463
Chlorophyll-a [mg/m^3]
9048
296995
Dissolved oxygen concentration [umol/l]
25983
Nitrate [umol/l]
6040
25905
Nitrate plus nitrite [umol/l]
5845
27863
Nitrite [umol/l]
8633
34503 pH
11137
262204
Phosphate [umol/l]
13386
59825
Silicate [umol/l]
11141
54473
Total nitrogen [umol/l]
2114
3032
Total phosphorus [umol/l]
2924
5297
This slide describes the profile data in the two collections.
The collection with the higher number of CDIs is the non-restricted profile data, with a total number=60876 profiles, as it is shown at the top right geographical map.
The restricted profiles are about
The tables on the left summarizes the parameters included in the currents collections for which DIVA maps have been produced in the previous phase of the project.
Compared to the number of data used so far in the products, there is an increase in this harvest. As we keep the two collections (of restricted and non-restricted data) here separately we cannot show in this presentation the improvement in the spatial and temporal distributions.
But the general increase in absolute numbers can bee seen at the next slide …

5. Number of profiles, used in EMODnet Chem2 Project
Increase in the number of CDIs in this harvest compared to the data used in the previous phase
Parameters
Number of profiles, used in EMODnet Chem2 Project
Number of profiles,
Νov. 2017
Ammonium
14563
14170
Chlorophyll-a
22253
26315
Dissolved oxygen
70794
74465
Nitrate
21875
19832
Nitrate plus nitrite
5393
7368
Nitrite
23101
21608 pH
27536
26326
Phosphate
27894
29144
Silicate
23102
25033
Total nitrogen
5623
3146
Total phosphorus
7628
4307
Of course in the Diva analysis both restricted and non-restricted data will be used.

6. Content of aggregated collections – time series data
Non restricted time series: 6415
Parameters
Number of time series
Number of points
Period
Ammonium [umol/l]
3612
47001
Chlorophyll-a [mg/m^3]
1537
119672
Dissolved oxygen concentration [umol/l]
4638
218067
Nitrate [umol/l]
3293
30467
Nitrate plus nitrite [umol/l]
2259
10764
Nitrite [umol/l]
3284
30418 pH
3684
137526
Phosphate [umol/l]
3728
49299
Silicate [umol/l]
2454
39454
Total alkalinity [mEquiv/l]
1981
5996
Total nitrogen [umol/l]
1001
3611
Total phosphorus [umol/l]
2665
28409
Restricted time series: 3921
Parameters
Number of time series
Number of points
Period
Ammonium [umol/l]
3146
5335
Chlorophyll-a [mg/m^3] 1
4932
2016
Dissolved oxygen concentration [umol/l]
3616
48624
Nitrate [umol/l]
3155
5420
Nitrate plus nitrite [umol/l]
2748
3637
Nitrite [umol/l]
3103 pH
2995
5397
Phosphate [umol/l]
3099
5298
Silicate [umol/l]
3140
5357
Total alkalinity [mEquiv/l]
471
1748
Total nitrogen [umol/l]
3062
5013
Total phosphorus [umol/l]
3014
4965
This is the time series data distributions. Compared to the previous phase of the project, there is also an increase. The geographical extend remains the same

7. Common format errors
NUMBER ODV FILES
WARNING MESSAGE
COMMENTS 94
ERROR:
Header line. 'PON' is not in the semantic header. Cannot import this variable. 36
Header line. 'POC' is not in the semantic header. Cannot import this variable. 1
Multiple LOCAL_CDI_ID; no depth values. Cannot import this file. 23
No data found.
same code (P01) and different units (P06).
The most common format error is that two parameters have same code and different unit.
Data originators have been already contacted.
In general 375 ODV files were not included in the collections due to format errors.
In total, 375 ODV files were not imported in the collections due to format errors

8. Quality Control of data
Current Work
Quality Control of data
Current work includes the quality control of data. We will focus in the coming weeks to the communication with the partners in order to correct the new and the remaining errors in their local datasets.