SeaDataNet est une infrastructure distribuée de gestion des données marines connectée aux centres de données des pays bordant les mers européennes. SeaDataNet met à disposition des données d’observations in-situ archivées dans ces divers centres de données. Ces données sont essentiellement des données de Physique/Chimie, de Géosciences ou de Biologie. Les données de SeaDataNet sont accessibles à des formats homogènes et standardisés quel que soit le centre de données dont elles proviennent. Elles répondent à des standards de qualité appliqués par tous les centres de données connectés à l’infrastructure. L'accès en ligne aux données in situ et aux métadonnées est assuré par un portail unique reliant les plates-formes interopérables constituées par les centres de données de l’infrastructure.

Mediterranean Sea Climatology computed from the SeaDataNet V1.1 aggregated dataset . The version used for the DIVA software is the 4.6.9. The period covers 1900-2013. For data access please register at http://www.marine-id.org

The SDC_GLO_CLIM_Dens product contains global monthly climatological estimates of in situ density using Temperature and Salinity from profiling floats contained in the World Ocean Data 18 (WOD18) database. The profiles were first quality controlled with a Nonlinear Quality control procedure. The climatology considers observations from surface to 2000 m for the time period 2003-2017. Density profiles are computed using UNESCO 1983 (EOS 80) equation from in situ temperature, salinity and pressure measurements by the PFL. Only profiles with both T,S values were used. The gridded fields are computed using DIVAnd (Data Interpolating Variational Analysis) version 2.3.1.

SeaDataNet Temperature and Salinity historical data collection contains all open access temperature and salinity in situ data retrieved from SeaDataNet infrastructure at the end of 2013. The data span between -9.25 and 37 degrees of longitude, thus including an Atlantic box and Marmara Sea, and cover the time period 1900-2012. Data have been quality checked using ODV software. Quality Flags of anomalous data have been revised using basic QC procedures. For data access please register at http://www.marine-id.org The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/

The SDC_GLO_CLIM_O2_AOU product contains two different monthly climatology for dissolved Oxygen and Apparent Oxygen Utilization, SDC_GLO_CLIM_O2 and SDC_GLO_CLIM_AOU respectively from the World Ocean Data (WOD) database. Only basic quality control flags from the WOD are used. The first climatology, SDC_GLO_CLIM_O2, considers Dissolved Oxygen profiles casted together with temperature and salinity from CTD, Profiling Floats (PFL) and Ocean Station Data (OSD) for time duration 2003 to 2017. The second climatology, SDC_GLO_CLIM_AOU, apparent Oxygen utilization, is computed as a difference of dissolved oxygen and saturation O2 profiles. The gridded fields are computed using DIVAnd (Data Interpolating Variational Analysis) version 2.3.1.

SeaDataNet Temperature and Salinity historical data collection for the Mediterranean Sea contains all open access temperature and salinity in situ data retrieved from SeaDataNet infrastructure. The data span between -9.25 and 37 degrees of longitude, thus including an Atlantic box and Marmara Sea. It covers the time period 1900-2015. Data have been quality checked using ODV software. Quality Flags of anomalous data have been revised using basic QC procedures. For data access please register at http://www.marine-id.org The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/

The SDC_GLO_CLIM_N2 product contains seasonally averaged Brunt-Vaisala squared frequency profiles using the density profiles computed in SeadataCloud Global Ocean Climatology - Density Climatology. The Density Climatology product uses the Profiling Floats (PFL) data from World Ocean database 18 for the time period 2003 to 2017 with a Nonlinear Quality procedure applied on it. Computed BVF profiles are averaged seasonally into 5x5 degree boxes for Atlantic and Pacific Oceans. For data access, please register at http://www.marine-id.org/.

The SDC_GLO_CLIM_TS_V2 product is an improved version of SDC_GLO_CLIM_TS_V1 and contains two different monthly climatologies for temperature and salinity from the World Ocean Data 2018 (WOD-18) database. Along with the basic quality control flags from the WOD-18, an additional quality Control named Nonlinear Quality Control (NQC) is applied. The first climatology, V2_1, considers temperature and salinity profiles from Conductivity Depth Temperature (CTD), Ocean station data (OSD) and Moored buoy data (MRB) along with Profiling Floats (PFL) from 1900 to 2017. The second climatology, V2_2, utilizes only PFL data from 2003 to 2017. V2_1 considers 44 layers from surface to 6000 m while V2_2 only 34 from 0 to 2000 m. The gridded fields are computed using DIVAnd (Data Interpolating Variational Analysis) version 2.3.1. For data access, please register at http://www.marine-id.org/.

SDC_MED_DATA_TS_V1 SeaDataCloud Temperature and Salinity data collection for the Mediterranean Sea contains all open access temperature and salinity in situ data retrieved from SeaDataNet infrastructure at the end of October 2017. The data span between -9.25 and 37 degrees of longitude, thus including an Atlantic box and the Marmara Sea. It covers the time period 1900-2017. Data have been quality checked using ODV 5.0 software. Quality Flags of anomalous data have been revised using basic QC procedures. The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/. For data access please register at http://www.marine-id.org/.

The SDC_MED_DP1 consists of Mixed Layer Depth (MLD) monthly climatology at 1/8 of degree for the Mediterranean Sea computed from an integrated dataset of collocated temperature and salinity profiles which combines data extracted from SeaDataNet infrastructure (SDC_MED_DATA_TS_V1, https://doi.org/10.12770/2698a37e-c78b-4f78-be0b-ec536c4cb4b3) and the Coriolis Ocean Dataset for Reanalysis (CORA), version 5.2 (https://archimer.ifremer.fr/doc/00595/70726/). The products comprehends three versions of MLD climatology over the 1955-2017 time period obtained computing the MLD from three different methods. A MLD climatology for the time span 1987-2017 computed with the fixed density criteria is also available. The analysis was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.1.