FN Archimer Export Format
PT C
TI The SeaDataNet data products: regional temperature and salinity historical data collections
BT 
AF SIMONCELLI, Simona
   COATANOAN, Christine
   BACK, Orjan
   SAGEN, Helge
   SCORY, Serge
   MYROSHNYCHENKO, Volodymyr
   SCHAAP, Dick
   SCHLITZER, Reiner
   IONA, Sissy
   FICHAUT, Michele
AS 1:1;2:2;3:3;4:4;5:5;6:6;7:7;8:8;9:9,10;10:2;
FF 1:;2:PDG-IMN-IDM-SISMER;3:;4:;5:;6:;7:;8:;9:;10:PDG-IMN-IDM-SISMER;
C1 INGV, Italy
   Ifremer, france
   SMHI, Suede
   IMR, norway
   RBINS, belgique
   METU
   MARIS
   AWI, Germany
   HCMR, greece
   Univ of thessaly, Greece
C2 INGV, ITALY
   IFREMER, FRANCE
   SMHI, SUEDE
   IMR, NORWAY
   ROYAL BELGIAN INST NAT SCI, BELGIQUE
   METU
   MARIS
   AWI, GERMANY
   HELLENIC CTR MARINE RES, GREECE
   UNIV THESSALY, GREECE
SI BREST
SE PDG-IMN-IDM-SISMER
UR https://archimer.ifremer.fr/doc/00326/43753/43286.pdf
   https://archimer.ifremer.fr/doc/00326/43753/43292.pdf
LA English
DT Poster
AB Temperature and Salinity (TS) historical data collections covering the time period 1900-2013 were created for each European marginal sea (Arctic Sea, Baltic Sea, Black Sea, North Sea, North Atlantic Ocean, Mediterranean Sea) within the framework of SeaDataNet2 (SDN) EU-Project and are available as ODV collections trough the SeaDataNet web catalog at http://sextant.ifremer.fr/en/web/seadatanet/. Two versions have been published and they represent a snapshot of the SDN database content at two different times: V1.1 (January 2014) and V2 (March 2015).  A Quality Control Strategy (QCS) has been implemented and continuously refined in order to improve the quality of the SDN database content and to create the best product deriving from SDN data. The QCS was originally implemented in collaboration with MyOcean2 and MyOcean Follow On projects in order to develop a true synergy at regional level to serve operational oceanography and climate change communities. The QCS involved the Regional Coordinators, responsible of the scientific assessment, the National Oceanographic Data Centers (NODC) and the data providers that, on the base of the data quality assessment outcome, checked and eventually corrected anomalies in the original data. The QCS consists of four main phases: 1)data harvesting from the central CDI; 2) file and paramenter aggregation; 3) quality check analysis at regional level; 4) analysis and correction of data anomalies. The approach is iterative to facilitate the upgrade of SDN database content. SDN data collections and the QCS will be presented and the results summarized.
PY 2016
PD APR
ID 43753
ER

EF