Bäck, O.

Coatanoan, C.

Fichaut, M.

Myroshnychenko, V.

Sagen, H.

Schaap, D.

Schlitzer, R.

Scory, S.

Simoncelli, S.

Open Marine Archive

272
Session 4 - Services for users and education Oral presentations
SeaDataCloud temperature 
and salinity data collections
Simona Simoncelli, Istituto Nazionale di Geofisica e Vulcanologia (Italy), simona.simoncelli@ingv.it
Christine Coatanoan, Institut Français de Recherche pour l’Exploitation de la Mer (France), 
 christine.coatanoan@ifremer.fr 
Volodymyr Myroshnychenko, Middle East Technical University (Turkey), volodymyr@ims.metu.edu.tr
Örjan Bäck, Sveriges Meteorologiska och Hydrologiska Institut (Sweden), orjan.back@smhi.se
Helge Sagen, Institute of Marine Research (Norway), helge@hi.no
Serge Scory, Royal Belgian Institute of Natural Sciences (Belgium), sscory@naturalsciences.be
Reiner Schlitzer, Alfred Wegener Institute (Germany), reiner.schlitzer@awi.de
Michèle Fichaut, Institut Français de Recherche pour l’Exploitation de la Mer (France), 
michele.fichaut@ifremer.fr
Dick Schaap, Mariene Informatie Service ‘MARIS’ Bv (The Netherlands), dick@maris.nl
Two versions of temperature and salinity historical data collections for each European marginal 
sea (Arctic Sea, Baltic Sea, Black Sea, North Sea, North Atlantic Ocean, and Mediterranean Sea) 
have been published within the framework of SeaDataNet2 Project. They represent a snapshot of 
the SeaDataNet database content at two different times: V1.1 (Jan 2014, Simoncelli et al., 2014) 
and V2 (Mar 2015, Simoncelli et al., 2015 and 2016). A Quality Control Strategy (QCS) was 
developed in SeaDataNet2 and continuously refined in order to improve the quality of the data 
and create the best data products. The QCS iterative approach facilitates the upgrade of the data 
and it allows a versioning of data products.
A newer version of temperature and salinity historical data collections has been released within 
SeaDataCloud Project in June 2018. The objective of this presentation is to briefly overview the 
existing SeaDataNet products and to present the first release of SeaDataCloud temperature and 
salinity historical data collections (SDC_DATA_TS_V1), spanning the time period 1900-2017, 
their characteristics in terms of space-time data distribution and their usability. A particular focus 
will be dedicated to the Mediterranean Sea collection.
Fig. 1 - Results of the QC analysis for the Mediterranean Sea data set (SDC_MED_DATA_TS_V1): 
(left) data density map; (middle) temporal data distribution 1900-2000; (right) temporal data distribution 2001-2017.
International Conference on Marine Data and Information Systems 5-7 November, 2018 - Barcelona (Spain)
273
Temperature and Salinity data sets were analyzed at regional level to assess and report on their 
quality. A common basic QC analysis was performed using ODV software (5.0.0) and following 
common QC guidelines. Product Information Documents (PIDocs) contain all specifications 
about the general products’ characteristics (space-time coverage, resolution, format, usability) 
and quality (validation methodology and results). Fig. 1 shows an example in the Mediterranean 
Sea of data density map and time distribution histogram produced per each European basin. Fig. 
2 is an example of the scatter diagrams produced per each region and contained in the PIDocs.
Statistics about the SeaDataNet infrastructure population in terms of temperature and salinity 
data per sea basin show a progressive increase of available data. Data quality also improved thanks 
to the introduction of additional checks by regional experts, exploiting the complete metadata 
description. The statistics about the quality flags after the quality assessment presents very high 
percentages of good (QF=1) or probably good data (QF=2): ~99% for the Mediterranean Sea; 98-
99% for the Black Sea; ~99% Arctic Sea; ~99% Baltic Sea; 98-99% for the North Sea and 96(S)-
99% for the North Atlantic Ocean. In fact, the analysis could be performed by instrument type to 
verify the data set completeness and consistency, and per data originator to identify systematic 
data anomalies. The derived metadata statistics per sea basin allow monitoring the European data 
Fig. 2 - Temperature (left), salinity (middle) and TS (right) scatter plots of good (Quality Flag 1) 
and probably good (Quality Flag 2) data after Quality Check analysis for the Mediterranean Sea data set.
sharing landscape per sea basin and the advent of new sensors, which require particular efforts in 
data management and quality assessment.
Conclusions and Developments
All SeaDataCloud products are available as ODV collections through a web catalog (https://
www.seadatanet.org/Products) together with their associated Digital Object Identifier (DOI) and 
Product Information Document (PIDoc) containing the specifications about product’s generation, 
quality assessment and technical details to facilitate users’ uptake.
The progressive automation of the QCS in the SeaDataCloud Virtual Research Environment 
will speed up the basic quality check process of the data and further improve the quality of the 
274
Session 4 - Services for users and education Oral presentations
SeaDataNet infrastructure content and the derived products, which could be delivered with a 
regular time schedule.
References
SiMoncelli S., tonani M., Grandi a., coatanoan c., MyroShnychenko v.r, SaGen h., Bäck ö., Scory S., 
Schlitzer r., fichaut M. (2014). First Release of the SeaDataNet Aggregated Data Sets Products. WP10 
Second Year Report - DELIVERABLE D10.2. http://doi.org/10.13155/49827
SiMoncelli S., coatanoan c., MyroShnychenko v., SaGen h., Bäck ö., Scory S., Grandi a., Schlitzer r., 
fichaut M. (2015). Second release of the SeaDataNet aggregated data sets products. WP10 Fourth 
Year Report - DELIVERABLE D10.4. http://doi.org/10.13155/50382
SiMoncelli S., coatanoan c., Back o., SaGen h., Scory S., MyroShnychenko v., Schaap d., Schlitzer r., 
iona S., fichaut M. (2016). The SeaDataNet data products: regional temperature and salinity historical 
data collections. EGU 2016 - European Geosciences Union General Assembly 2016. 17-22 April 
2016, Austria.


SeaDataCloud temperature and salinity data collections

http://www.vliz.be/imisdocs/publications/321964.pdf

SeaDataCloud temperature and salinity data collections

Abstract

Similar works

Full text

Available Versions

Open Marine Archive