Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
SOMLIT-SOARC time series (French Research Infrastructure ILICO): long-term core parameter monitoring in the Arcachon Bay Ecosystem
The Arcachon bay is a meso- / macro-tidal (0.8 to 4.6 m), semi-enclosed lagoon of 180 km² located on the South-western coast of France. Three main water masses are described in this bay: (i) the external neritic waters (ENW) directly influenced by the adjacent oceanic waters, (ii) the intermediate neritic waters (ItNW) and (iii) the inner neritic waters (InNW) more influenced by the continental inputs. The watershed of the Arcachon bay, mainly covered by forests, has an area of 3500 km² and the bay is considered as poorly anthropised. It hosts the largest Zostera noltei seagrass meadow in western Europe and is an important site for oyster farming and Manilla clam production. Since 1997, Arcachon Bay waters are monitored for hydrological and bio-geochemical parameters by the “Environnements et Paléoenvironnements Océaniques et Continentaux” (EPOC) Research Unit of the University of Bordeaux-CNRS, first in one single station (Eyrac), then on 2 complementary sites since 2005 (Bouee13 and Comprian). The monitoring is carried out within the national framework of the “SOMLIT” (“Service d’Observation en Milieu Littoral”) which is a French multi-site monitoring network initiated in the mid-1990s. SOMLIT is based on a joint strategy for 19 sites belonging to 12 ecosystems that are distributed over the three maritime facades of mainland France, i.e. the English Channel, the Atlantic Ocean and the Mediterranean Sea. Sampling of surface water samples is performed fortnightly at high tide for a group of 15 parameters (temperature, salinity, dissolved oxygen, pH, nitrate, nitrite, ammonium, phosphate, silicate, suspended matter, chlorophyll a, concentrations and isotopic ratios of particulate organic carbon and nitrogen) and 8 flow cytometry biological variables of pico- and nanoplankton. Vertical profiles of multiparametric probes concerning 4 parameters (temperature, salinity, fluorescence, PAR) are also performed. Given the significant diversity of coastal ecosystems where SOMLIT’s stations are located, strict and joint guidelines with regards to sampling strategy, measurement methods and data qualification and storage are paramount in order to make FAIR data available to users. The whole data acquisition strategy is carried out within the framework of the SOMLIT quality system formalized in 2006-2007 by referring to the ISO 17025: 2017 standard “General requirements for the competence of testing and calibration laboratories”. Unified sampling and analysis protocols are based on recognized disciplinary standards and on the expertise of the research teams. The scientific objectives of SOMLIT are 1) to characterize the multi-decadal evolution of coastal ecosystems; 2) to determine the climatic and anthropogenic forcings and 3) to make data and logistical support available for research activities and other observation activities. SOMLIT is therefore a research tool providing large datasets that also serve as logistical support for related research actions (from seasonal to long-term studies). Two additional national networks operate at the same SOMLIT sites: “COAST-HF” network performs high-frequency measurements (automated in situ measurements every 10 to 20 minutes) and “PHYTOBS-network” provides microphytoplankton biodiversity data. SOMLIT, COAST-HF and PHYTOBS are elementary networks of the Research Infrastructure “Infrastructure Littorale et Côtière” (ILICO) and are National Observation Services (SNO) of the Institut National des Sciences de l'Univers (INSU).
The applicant undertakes to use data in the context of the application and not to transmit them to anyone else. Any publication using SOMLIT data must be sent to the managers of the stations concerned and to the SOMLIT coordinator. The origin of the data must explicitly appear in the publications using them (data provided by ''Service d'Observation en Milieu Littoral, INSU-CNRS, name of the station''). SOMLIT data may not be used for contractual purposes for which funding is provided.
A SBE-19Plus-V2 profiler is used for CTD_PAR_Fluo measurements. To guarantee best performances, the sensors return to the constructor every two years for calibration.
Nutrient dataset from the BioSWOT-Med cruise
The BioSWOT-Med campaign (Doglioli et al., 2023) was conducted aboard R/V L’Atalante from April 20 to May 15, 2023 in the Northwestern Mediterranean Sea, in the region of the North Balearic Front (NBF) to study interactions between fine-scale oceanic circulation and biogeochemical processes. Three water masses were sampled across the NBF, northern ('A'), southern ('B'), and frontal ('F'). Each Lagrangian station consisted of a 24-hour sampling period following the displacement of a water parcel (Doglioli et al., 2024). Vertical profiles down to 500 m were collected every 6 hours at 06:00 ('T1'), 12:00 ('T2'), 18:00 ('T3'), and 00:00 ('T4') UTC, for a total of 28 Lagrangian stations: first between April~24-28 (A1, F1, B1), and again between May~4-7 (B2, F2, A2), with a final station in southern waters (B3) on May~12-13. B2 and B3 stations were located inside an anticyclonic eddy. Hydrological profiles were obtained using a Sea-Bird CTD, with data averaged to a 1~m vertical resolution, they include potential temperature (°C), practical salinity, fluorescence-derived chlorophyll-a (µg/L) and oxygen (µmol/kg). Samples for nitrate + nitrite and phosphate (µM) were collected from Niskin bottles and analyzed onboard within 2-12~hours using a segmented flow analyzer (AAIII HR Seal Analytical) following (Aminot et al., 2007). Quantification limits (QL) were 0.05 µM for nitrate and 0.02 µM for phosphate. Phosphate concentrations at a nanomolar level analyses were performed in the laboratory using a high-sensitivity method combining a 1 m Liquid Waveguide Capillary Cell (LWCC) and an auto-analyzer (Zhang et al. 2002), achieving a detection limit of 0.002µM. A BGC-Argo float (WMO: 1902605 - Provor CTS4 SUNA) equipped with a CTD and SUNA nitrate sensor was deployed near station B2 and sampled the anticyclonic eddy. To better resolve the photic and nutricline layers, the standard sampling cycle was modified to a 6-hour frequency, reaching depths of 300-400~m. The BGC-Argo float nitrate dataset spans May~2-16 and includes 55~profiles, with a 0.5 µM limit of quantification. It passed through a nitrate calibration procedure against 8 ship-made profiles at B2 and B3. Data export in NetCDF format - Dataset at the 7 Lagrangian stations (28 vertical profiles for each variable, 4 at each station): ‘BioSWOT-Med_LS_Date_Time.nc’ (with day, time, longitude and latitude); ‘BioSWOT-Med_LS_Nutrients.nc’ (with nitrate, phosphate and phosphate at nanomolar level concentrations and depths); 'BioSWOT-Med_LS_CTD.nc' (with temperature in situ, practical salinity, chlorophyll-a and oxygen concentrations, photosynthetically active radiations and depth). - Dataset of the BGC-Argo float including 55 vertical profiles recorded between May 2 and 16: 'BioSWOT-Med_BGC-Argo' (with day and time, longitude, latitude; nitrate concentrations with associated depth; temperature in situ and practical salinity associated depth; chlorophyll-a concentrations with associated predepthssure; and oxygen concentrations with associated depth). Contact list Aude Joël (aude.joel@mio.osupytheas.fr), Sandra Nunige (sandra.nunige@mio.osupytheas.fr, for ship-made nutrient dataset), Riccardo Martellucci (rmartellucci@ogs.it, for the BGC-Argo float dataset) and Andrea Doglioli (andrea.doglioli@mio.osupytheas.fr, for the BioSWOT-Med cruise). References Aminot, A., & Kérouel, R. 2007. Dosage automatique des nutriments dans les eaux marines: méthodes en flux continu. Méthodes d’analyse en milieu marin. Ifremer. Doglioli, A.M., & Gregori, G. 2023. BioSWOT-Med cruise, RV L’Atalante. doi:10.17600/18002392. Doglioli, A., Grégori, G., D’Ovidio, F., Bosse, P. E., A., Carlotti, F., Lescot, M.,. . . Waggonet, E. (2024). Bioswot med. biological applicati.ons of the satellite surface water and ocean topography in the mediterranean. ref. rapport de campagne. université aix-marseille. (doi:10.13155/100060) Zhang, J.Z., & Chi, J. 2002. Automated analysis of nanomolar concentrations of phosphate in natural waters with liquid waveguide. Environ Sci Technol., 1;36(5), 1048–53. doi: 10.1021/es011094v.
Sentinel-3A SLSTR NTC L2P Skin Sea Surface Temperature
These products contain global non time critical (NTC) Level 2P skin Sea Surface Temperature (SST) derived from SLSTR-A on Copernicus Sentinel-3 at full-resolution swath (1 km at nadir) in GHRSST compliant NetCDF format. All SSTs from the Sea and Land Surface Temperature Radiometer (SLSTR) series of instruments are SST skin measurements. For more details please see “What is SST?” on the GHRSST web pages. At night, the skin temperature is typically a few tenths of a degree cooler than the temperature measured by in situ systems; in the day, the skin can be considerably higher if strong diurnal warming is present. The SLSTRs are dual-view self-calibrating radiometers with SST retrieved from spectral bands at nominally 3.74, 10.85 and 12 µm (referred to as S7, S8 & S9). Corrections for water vapour atmospheric absorption are performed using a triple window at night, and a split window during the day as the 3.7 µm channel is not used due to solar contamination. All pixels in the dual-view part of the swath are viewed twice, via nadir and oblique views with different atmospheric path lengths, allowing for correction for aerosol effects. Consequently, there are four possible retrieved SSTs, referred to as N2 (nadir-only 11 µm and 12 µm), N3 (nadir-only 3.7 µm, 11 µm and 12 µm), D2 (dual-view 11 µm and 12 µm) and D3 (dual-view 3.7 µm, 11 µm and 12 µm). The L2P file contains the best SST available for each pixel and flags are included to identify which retrieval is used. If the observation is in the nadir-only / single-view part of swath then "sst_algorithm_types" is N2 or N3, and if the observation is in the dual-view part of swath then "sst_algorithm_types" is D2 or D3. For D2 or D3 pixels it is possible to generate their N2 or N3 equivalent by subtracting the value in the "dual_nadir_sst_difference" field. Users are advised to use only QL = 5 dual-view SSTs for reference sensor applications and to use single-view (all quality levels) and quality level 3 and 4 dual-view data only for other qualitative analysis. Users are reminded to apply the SSES bias adjustments as SLSTR-B is harmonised to SLSTR-A through SSES. Users can consider using the "theoretical_uncertainty" for weighting observations rather than the simple SSES standard deviation values. Primary access to data is via the EUMETSAT Data Store (linked below). Other access methods can be found in the EUMETSAT Product Navigator https://navigator.eumetsat.int/product/EO:EUM:DAT:SENTINEL-3:SL_2_WST___NTC?query=slstr&results=22&s=advanced. Please also read the EUMETSAT SLSTR Product Notices (linked below) as they provide a lot of useful information. All products currently contain SLSTRA-MAR-L2P-v1.0 as the GHRSST Collection ID in the file metadata, which will be revised in a future release.
GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite produced by NAVO
A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A; launched 19 Oct 2006) ) satellite produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European undertaking providing weather data services for monitoring climate and improving weather forecasts. It was jointly established by the European Space Agency (ESA) and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) with a contribution by the US National Oceanic and Atmospheric Administration (NOAA) of an AVHRR sensor identical to those flying on the family of Polar Orbiting Environmental Satellites (POES). AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. This particular dataset is produced from Global Area Coverage (GAC) data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km.
Labeled SAR imagery dataset of ten geophysical phenomena from Sentinel-1 wave mode (TenGeoP-SARwv)
The TenGeoP-SARwv dataset is established based on the acquisitions of Sentinel-1A wave mode (WV) in VV polarization. This dataset consists of more than 37,000 SAR vignettes divided into ten defined geophysical categories, including both oceanic and meteorologic features. These images cover the entire open ocean and are manually selected from Sentinel-1A WV acquisitions in 2016. For each image, only one prevalent geophysical phenomena with its prescribed signature and texture is selected for labeling. The SAR images are processed into a quick-look image provided in the formats of PNG and GeoTIFF as well as the associated labels. They are convenient for both visual inspection and machine-learning-based methods exploitation. The proposed dataset is the first one involving different oceanic or atmospheric phenomena over the open ocean. It seeks to foster the development of strategies or approaches for massive ocean SAR image analysis. A key objective is to allow exploiting the full potential of Sentinel-1 WV SAR acquisitions, which are about 60,000 images per satellite per month and freely available. Such a dataset may be of value to a wide range of users and communities in deep learning, remote sensing, oceanography, and meteorology
The ESA Sentinel-1 mission is a constellation of two polar-orbiting, sun-synchronous satellites (S-1 A and S-1 B) launched in April of 2014 and 2016, respectively. These two satellites both have a 12-day repeat cycle at the equator, and are phased at 180 deg to provide an effective 6-day repeat cycle. For each satellite, the expected lifetime is 7 years. Both carry a C-band SAR instrument with a center frequency of 5.405 GHz (5.5 cm wavelength). There are four exclusive imaging modes (Interferometric Wide swath, Extra Wide swath mode, Strip Map and Wave Mode) for the S-1 SAR sensors. WV is the default operational mode over open ocean unless wide-swath SAR images are requested for particular applications.
GHRSST Level 3U OSPO dataset v2.61 from VIIRS on S-NPP Satellite (GDS v2)
The Joint Polar Satellite System (JPSS), starting with S-NPP launched on 28 October 2011, is the new generation of the US Polar Operational Environmental Satellites (POES). The Suomi National Polar-orbiting Partnership (S-NPP) is a collaboration between NASA and NOAA. The ACSPO SNPP/VIIRS L3U (Level 3 Uncollated) product is a gridded version of the ACSPO SNPP/VIIRS L2P product available here https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-OSPO-L2P-v2.61. The L3U output files are 10-minute granules in netCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 144 granules per 24hr interval, with a total data volume of 500MB/day. Fill values are reported at all invalid pixels, including pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0 ). Only L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010). Version Description:
Phosphate concentration parameters in the water column | Phospate concentration in filtered sample (dissolved phase) of the water column | European Environment Agency (EEA) | EUROWATERNET
1.UNEP/MAP/MED POL (2003), Riverine transport of water, sediments and pollutants to the Mediterranean Sea, Tech. Rep. 141, U. N. Environ. Programme Mediter. Action Plan, Athens, Greece. 2. Ludwig W., E. Dumont, M. Meybeck, S. Heussner (2009). River discharges of water and nutrients to the Mediterranean and Black Sea:Major drivers for ecosystem changes during past and future decades? Progress in Oceanography 80, 199–217. 3. Marcuello C., M. Menιndez (2003). Eurowaternet Quantity. Technical guidelines for implementation. Technical report 99, EEA. 4.www.rivernet.org/
Snow and ice mass, thickness and extent | Coverage (by area) of ice on the water body by image analysis | National Snow & Ice Data Center USA | Interactive Multisensor Snow and Ice Mapping System (IMS) – Northern Hemisphere 1 km
eea_r_3035_100_m_ecosystem-types-marine_p_2012_v03_r01 DAT-146-en
Ecosystem types of Europe 2012 - Marine habitats - version 3 revision 1, Feb. 2019
The data set aims to contribute to a better biological characterization of European marine ecosystems. As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 3 for marine habitats including information on sea ice coverage (this corresponds to EUNIS level 2 for terrestrial habitats). The map combines spatially explicit data on marine bathymetry and sea-bed with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centre ETC/ULS is to improve the biological description of marine based ecosystem types and their spatial distribution. The work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further addresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The data set represents 2 classes of the MAES classification level 3, namely “Marine inlets and transitional waters” and “Marine”. The dataset comprises the following information: • Sea region (1 – Arctic, 2 – Atlantic, 3 – Baltic, 4 – Mediterranean, 5 – Black Sea) • Sea zone (1 – Littoral, 2 – Infralittoral, 3 – Circalittoral, 4 – Offshore circalittoral, 5 – Upper bathyal, 6 – Lower bathyal, 7 – Abyssal,8 - Coastal Lagoons, 9 - Coastal Lagoons) • Substrate (0 – undetermined substrate, 1 – rock and biogenic, 3 – coarse sediment, 4 – mixed sediment, 5 – sand, 6 – mud) • Sea ice coverage (0 – no sea ice presence, 1 – seasonal sea ice presence, 2 – perennial sea ice presence)
The process of creation of this dataset is as follows: A – Marine habitats Level 1 1. Create Sea mask, Sea Extent and Sea Region extended mask from CLC 2012 v18.5, Europe Seas 2010-2017 (vector 100k) and MSFD marine regions 2017 (vector 100k) B – New EUNIS-crosswalks 2. Apply “EUSEAMAP/new EUNIS Crosswalk” to derive EUNIS Level 3 from EUSEAMAP 2017 3. Apply “Geology/new EUNIS Crosswalk” to derive seabed geology from EMODNET C – Continental Shelf (for Mediterranean Region only) 4. Derive Mediterranean continental shelf and littoral mask from Continental marine margins, EMODNET bathymetry and Sea Regions extended mask D – Marine habitats level 3 separate processing per each of the 5 sea regions 5. Apply Sea Region bathymetry rules to define sea zone 6. Apply Biological zone rules to extract biological zone per each sea region: - Littoral - Infralittoral - Circalittoral - Offshore Circalittoral - Upper bathyal - Lower bathyal - Abyssal E – Sea Ice (for Arctic and Baltic only) 7. Apply minimum and maximum Sea Ice extent to derive sea ice coverage for Arctic and Baltic region F – Final Integration 8. Combine of all EUNIS maps (Cell statistics) 9. Euclidean Allocation for gap filling 10. Adjustment of final extent H - Transitional habitats 11. Deriving "Estuaries" and "Coastal Lagoons" from CLC Accounting, Riparian Zones and Natura 2000 More information can be found in the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).
Fish taxonomy-related abundance per unit area of the bed | Threatened and/or declining fish species | EMODnet Secretariat | Gadus morhua
/Ocean Temperature/Sea Surface Temperature
Phosphate concentration parameters in the water column
Phospate concentration in filtered sample (dissolved phase) of the water column
The datasets are provided through an EU Inspire catalogue service (OGC)
Search via reference catalogue (e.g. MyOcean, GEOSS Geoportal…)
There is detailed information provided to understand data policy
Format not proprietary and content clearly specified (e.g. autodescriptive like ODV, NetCDF CF) or at least with appropriate document describing the content
Use of open search engines, searching by name either the data provider or the characteristics
Online discovery and downloading services
Coverage (by area) of ice on the water body by image analysis
Interactive Multisensor Snow and Ice Mapping System (IMS) – Northern Hemisphere 1 km
The datasets are referenced in a public national catalogue, in an international catalogue service
Atlantic - CH02 - Marine Protected Areas
Fish taxonomy-related abundance per unit area of the bed
Threatened and/or declining fish species
Univ. Bordeaux, OASU, UMR EPOC, F-33120, Arcachon, France
CNRS, OASU, UMR EPOC, F-33120, Arcachon, France
Univ. Bordeaux, OASU, UMR EPOC, F-33615 Pessac, France
Academic Press Ltd- Elsevier Science Ltd
Aix Marseille University, Toulon University, CNRS, IRD, Mediterranean Institute of Oceanography MIO UM110, Marseille, France.
National Institute of Oceanography and Applied Geophysics – OGS, Sgonico (TS)
EUMETSAT > European Meteorological Satellite Organisation
NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA
Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, 29280, Brest, France Institut Mines-Télécom Atlantique, UMR 6285 LabSTICC, Université Bretagne Loire, Technopôle Brest-Iroise CS 83818, 29238 Brest Cedex 3, France
Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, 29280, Brest, France
Institut Mines-Télécom Atlantique, UMR 6285 LabSTICC, Université Bretagne Loire, Technopôle Brest-Iroise CS 83818, 29238 Brest Cedex 3, France
Space and Ground Segment, Collecte Localisation Satellites (CLS), Plouzané, France
Applied Physics Laboratory, University of Washington, 1013 NE 40th Street, Seattle, Washington, USA
Ocean Processes Analysis Laboratory, University of New Hampshire, New Hampshire, USA
Institute of Electrical and Electronics Engineers (IEEE)
DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA, U.S. Department of Commerce
ISAC - Institute of Atmospheric Sciences and Climate (Rome)
European seas - DIVAnd 4D monthly analysis of Water_body_dissolved_oxygen_concentration 1960/2023 v2025
Dissolved oxygen parameters in the water column
Water body dissolved oxygen concentration
Usage is subject to mandatory citation: "This resource was generated by EMODnet Chemistry under the support of DG MARE Call for Tender EASME/2019/OP/0003-lot4."
The data used as input for this product have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
GHRSST Level 4 GAMSSA_28km Global Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS2)
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers with in situ data from ships, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.
Contaminants-DDT: stations above LOD/LOQ v2019
This product displays the stations where DDT has been measured and the values present in EMODnet Chemistry infrastructure are always above the limit of detection or quantification (LOD/LOQ), i.e quality value equal to 1. It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station (above, below or above/below). EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products. To produce the maps the following process has been followed: 1. Data collection through SeaDataNet standards (CDI+ODV) 2. Harvesting, harmonization, validation and P01 code decomposition of data 3. SQL query on data sets from point 2 4. Production of map with each point representing at least one record that match the criteria The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols. Preliminary processing were necessary to harmonize all the data : • For water: contaminants in the dissolved phase; • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans • Exclusion of data values equal to 0
Pesticide concentrations in water bodies
The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search
Proposal for generating dedicated maps on contaminants
University of Liège, GeoHydrodynamics and Environment Research
ARPA Emilia-Romagna, Struttura Oceanografica Daphne
ARPA Friuli-Venezia Giulia, Alto Adriatico Observatory
ARPA Toscana, Area Tutela Ambiente Marino
Aarhus University, Department of Bioscience, Marine Ecology Roskilde
Administration Of Fish Searching And Research Fleet for the Northern Basin
Administration Of Fish Searching And Research Fleet for the Western Basin
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
All-Russia Research Institute of Hydrometeorological Information, World Data Centre, National Oceanographic Data Centre (NODC)
Angers University, Laboratory of current and fossil bio-indicators
Arctic and Antarctic Research Institute, Roshydromet (Saint-Petersburg)
Atlantic Scientific Research Institute for Marine Fishery and Oceanography
Balearic Islands Coastal Observing and Forecasting System
Baltic Research Institute of Fishery of Latvia
Blekingekusten Coalition of Water Conservation
Bulgarian National Oceanographic Data Centre , Institute of Oceanology
CEA, Climate and Environmental Sciences Laboratory
CEA, Institut de Radioprotection et de Surete Nucleaire
CNR, Institute for the Marine and Coastal Environment (Messina)
CNR, Institute of Marine Sciences S.S. of Lerici (SP)
CNR, Istituto di Scienze Marine (Sezione di Venezia)
CNR, Istituto per l'Ambiente Marino Costiero (Sezione di Oristano)
CNR, Istituto per lo Studio della Dinamica delle Grandi Masse
CNR, National Research Council, Institute of Atmospheric Sciences and Climate (Rome)
CNR, National Research Council, Institute of Marine Science (Ancona)
CNR, National Research Council, Institute of Marine Science (Bologna)
CNR, National Research Council, Institute of Marine Science (Lesina)
CNR, National Research Council, Institute of Marine Science (Trieste)
CNR, National Research Council, Institute of Marine Science (Venezia)
CNRS, COM, Physical and Biogeochemical Oceanography Laboratory (Luminy)
CNRS, COM, Physical and Biogeochemical Oceanography Laboratory (Toulon)
CNRS, Center of Oceanology of Marseille La-Seyne-Sur-Mer
CNRS, Laboratory Of Sciences Of Marine Environment
CNRS, Laboratory of studies on Spatial Geophysics and Oceanography
CNRS, Microbiology, Geochemistry and Marine Ecology Laboratory
COM, Physical and Biogeochemical Oceanography Laboratory (Endoume)
Carl von Ossietzky University of Oldenburg, Institute for Chemistry and Biology of the Marine Environment
Center for marine research, Rudjer Boskovic Institute
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory
Chief Inspectorate for Environmental Protection
Committee of North Eastern Halsingland Coordinated Recipient Monitoring
County Administration Board of Norrbottens lan
County Administration Board of Stockholm lan
County Administration Board of Uppsala lan
County Administration Board of Vasternorrlands lan
County Administrative Board of Vasterbotten
DTU Aqua, National Institute of Aquatic Resources, Technical University of Denmark
Department of Agriculture, Environment and Rural Affairs
Department of Marine Systems at Tallinn University of Technology
Donskaya offing station North-Caucasus HMS
ENEA Centro Ricerche Ambiente Marino (La Spezia)
EPOC, Geology and Oceanography Department
European Research and Teaching Centre for Environmental Geosciences
Far Eastern Regional Hydrometeorological Research Institute
Federal Maritime and Hydrographic Agency
Federal Maritime and Hydrographic Agency, Dept. Oceanography
Fisheries Research Services, Aberdeen Marine Laboratory
Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre
Hellenic Centre for Marine Research, Institute of Oceanography
Helmholtz Centre for Ocean Research Kiel
Hydrographic and oceanographic service of the French navy
IEO-CSIC, Spanish Oceanographic Institute
IFREMER, Biogeochemical and Ecotoxicological Resarch Unit (Brest)
IFREMER, Fisheries English Channel North sea (Boulogne-sur-mer)
Ifremer Station de la Rochelle-l'Houmeau
Ifremer, Biogeochimical end Ecotoxicological Research Unit
Ifremer, Deep Sea Environment Department
Ifremer, Ecology and Models for the Fishing Industry
Ifremer, Fisheries Science and Technology (Plouzane)
Ifremer, Fisheries Sciences and Technology (Lorient)
Ifremer, Information Valuation Service for Integrated Management and Monitoring
Institut National des Sciences et Technologies de la Mer
Institute of Biology of the Southern Seas, NAS of Ukraine
Institute of Marine Sciences, Middle East Technical University
Institute of Meteorology and Water Management National Research Institute, Poland
Institute of Oceanographic Sciences Deacon Laboratory
Institute of Oceanographic Sciences Wormley Laboratory
Institute of Oceanology, Bulgarian Academy of Sciences
Institute of Oceanology, Polish Academy of Sciences
Israel Oceanographic and Limnological Research
Istanbul University, Institute of Marine Science and Management
Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Department of Biological Oceanography
James Rennell Centre for Ocean Circulation
Karadeniz Technical University, Faculty of Marine Sciences
Krondshtadt Hydrometeorological Observatory, North-West HMS
Kuban offing station, North-Caucasus HMS
La Rochelle University, Littoral Environment and Societies
Laboratory for Ocean Physics and Satellite remote
Laboratory of Oceanography and Climate, Experiments and numerical Approaches
Laboratory of Oceanography of Villefranche
Laboratory of Phyical Oceanography, CNRS-IFREMER-IRD-UBO
Laboratory of Physical Oceanography, Universite de Bretagne Occidentale (UBO)
Leibniz Institute for Baltic Sea Research Warnemünde
Lithuanian Hydrometeorological Service under the Ministry of Environment
Marine and Freshwater Research Institute
Mariupol Marine Hydrometeorological Station, Ukrainian HMS
Mediterranean Institute Of Oceanography (Luminy)
Mediterranean Institute of Oceanography (Marseille)
Moscow State University, Geography Department
Motala strom Coalition of Water Conservation
Murmansk Hydrometeorological Administration of Roshydromet
Museum National d'Histoire Naturelle, Laboratoire d'Oceanographie Physique
National Environmental Agency of the Ministry of Environment Protection and Natural Resources
National Institute for Marine Research and Development "Grigore Antipa"
National Institute of Biology, Marine Biology Station
National Institute of Fisheries Research
National Institute of Marine Geology and Geoecology
National Institute of Oceanography and Applied Geophysics - OGS, Division of Oceanography
National Oceanography Centre (Liverpool)
National Oceanography Centre (Southampton)
Navy Main Administration of Navigation and Oceanography, Ministry of Defence
North-Caucasus Regional Administration of Hydrometeorology of Roshydromet
North-Western Regional Administration of Hydrometeorology of Roshydromet
Nothern Regional Administration of Hydrometeorology of Roshydromet
Oceanologic Observatory of Banyuls, University of Paris VI, OSU
Oceanological Observatory of Villefranche sur Mer
Odessa Branch of State Oceanographic Institute
P.P.Shirshov Institute of Oceanology, RAS
Polar Scientific Research Institute of Fishery and Oceanography
Primorsky Territorial Office on Hydrometeorology and Environmental Monitoring of Roshydromet
Royal Belgian Institute of Natural Sciences, Management Unit of North Sea and Scheldt Estuary Mathematical Models, Belgian Marine Data Centre
Royal Netherlands Institute for Sea Research
Russian State Hydrometeorological University, St-Petersburg
Scottish Office Agriculture and Fisheries Department, Aberdeen Marine Laboratory
South Coast Water Conservation Association
Specialized Center for Hydrometeorology and Monitoring of Environment of Black and Azov Seas
State Agency for Environment, Nature and Geology, Mecklenburg-Vorpommern
State Agency for Nature and Environment of Schleswig Holstein
State Oceanographic Institute, Sebastopol Branch
State Office for Agriculture, Environment and Rural Areas of Schleswig Holstein
Stazione Zoologica Anton Dohrn of Naples
Swedish Meteorological and Hydrological Institute
TUBITAK, Marmara Research Center, Environment Institute (Marine and Inland Waters Management SBU)
Taurida V.I. Vernadsky National University
The Central Institute for scientific and technological Research Applied to the Sea (Palermo)
The Leibniz Institute of Marine Sciences at the University of Kiel
The Swedish Agency for Marine and Water Management
Tuapse Hydrometeorological Bureau, North-Caucasus Centre
Ukrainian Hydrometeorological Institute, Marine Branch
Ukrainian scientific center of Ecology of Sea
Ume- and Vindelälven Coalition of Water Conservation
Universite de Bretagne Occidentale, Lab. D'Oceano. Chimique Loc, LUEM
Universite de Pau, Lab. Chimie Bio Inorganique et Environnement
Universite de Toulon, Lab. de Sondages Electromagnetiques
Universite de la Mediterrannee (U2), Centre d'Oceanologie de Marseille
University of Algarve, Marine Sciences Centre
University of Athens, Department of Chemistry, Division of Inorganic and Environmental Chemistry, Environmental and Marine Chemistry Group
University of Bordeaux I, Laboratory for Physical and Toxico Chemistry (ISM)
University of Bristol, Department of Earth Sciences
University of Cambridge Department of Earth Sciences
University of East Anglia, School of Environmental Sciences
University of Hamburg, Department of Chemistry
University of Liverpool Department of Earth, Ocean and Ecological Sciences
University of Liverpool, Department of Earth Sciences
University of Liège, Laboratory of Oceanology
University of Rostock, Institute of Biosciences
University of Southampton Department of Oceanography
University of Southampton School of Ocean and Earth Science
University of Wales, School of Ocean Sciences
University of York, Department of Chemistry
Université Libre de Bruxelles, Laboratory of Chemical Oceanography and Water Geochemistry
V.I. Il'ichevs Pacific Oceanological Institute, Far Eastern Branch, Russian Academy of Sciences
Vrije Universiteit Brussels, Faculty of Sciences, Department of Chemistry, Laboratory of Analytical and Environmental Chemistry
ISPRA-Institute for Environmental Protection and Research
University of Plymouth, Institute of Marine Studies
Northern Ireland Environment Agency, Water Management Unit
Scottish Environment Protection Agency, Stirling Office
State Office for Water Economy and Shore, Schleswig-Holstein, Kiel
CNR, Istituto di Scienze Marine (Sezione di Venezia - ex IBM)
CNR, Institute of Marine Science (ISMAR) (Lesina)
CNR, Institute of Marine Science (ISMAR) - Ancona
CNR, Institute of Marine Science (ISMAR) - Bologna
Hellenic Centre for Marine Research, Institute of Oceanography (HCMR/IO)
CNR, Institute for the Marine and Coastal Environment (IAMC) - Napoli
National Centre for Scientific Research 'Demokritos', Institute of Nuclear Technology - Radiation Protection, Environmental Radioactivity Laboratory (ERL/INTRP/NCSRD)
University of Athens, Department of Chemistry, Division of Inorganic and Environmental Chemistry, Environmental and Marine Chemistry Group (EMCG/UATH)
UNIVERSITE DE PARIS VI / GEOSCIENCES AZUR - SITE DE VILLEFRANCHE / OOV
Polish Geological Institute - National Research Institute, Branch of Marine Geology (PGI BMG)
IVL Swedish Environmental Research Institute - Stockholm
Finnish Institute of Marine Research (FIMR)
Bulgarian National Oceanographic Data Centre(BGODC), Institute of Oceanology
Iv.Javakhishvili Tbilisi State University, Centre of Relations with UNESCO Oceanological Research Centre and GeoDNA (UNESCO)
Center for marine research - Rudjer Boskovic Institute
Laboratory of Physical Oceanography/ UNIVERSITE DE BRETAGNE OCCIDENTALE (UBO)
Ukrainian Hydrometeorological Institute - Marine Branch
Odessa Branch of SOI (State Oceanographic Institute)
Israel Oceanographic and Limnological Research (IOLR)
Federal Research Centre for Fisheries (Cuxhaven)
Federal Research Centre for Fisheries (Hamburg)
Aquitaine Observatory of Sciences of the Universe - University of Bordeaux (OASU)
ARPA Friuli-Venezia Giulia - Alto Adriatico Observatory
BRGM / Office of Geological and Mining Resources
UNIVERSITE DE BRETAGNE OCCIDENTALE (UBO) /Ocean Geoscience Laboratory (LGO)
UNIVERSITE DE LA MEDITERRANNEE (U2) / CENTRE D'OCEANOLOGIE DE MARSEILLE
UNIVERSITE DE NANTES / LAB.DE GEOLOGIE MARINE ET APPLIQUEE
UNIVERSITE DE RENNES I / LABORATOIRE DE GEOSCIENCES - UMR CNRS 6118
Ukrainian scientific center of Ecology of Sea (UkrSCES)
State Agency for Nature and Environment of Schleswig Holstein (LANU)
National Institute of Biology - Marine Biology Station
Lower Saxony Water Management, Coastal Defense and Nature Conservation Agency
Institute for Agricultural and Fisheries Research, Animal Sciences Unit - Fisheries
Rijkswaterstaat Water, Traffic and Environment
Institute of Geology and Geography of Nature Research Centre
State Oceanographic Institute, Sebastopol Branch (SB SOI)
Ifremer / VIGIES (Information Valuation Service for Integrated Management and Monitoring)
Institute of Oceanology, Bulgarian Academy of Sciences (IO-BAS)
Georgian Institute of Water Management of Georgian Technical University
National Laboratory of Energy and Geology
Geological Institute, Russian Academy of Sciences
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Department of Biological Oceanography
State Office for Agriculture, Environment and Rural Areas of Schleswig Holstein (LLUR)
Specialized Center for Hydrometeorology and Monitoring of Environment of Black and Azov Seas (SC HME BAS)
GEOMAR Helmholtz Centre for Ocean Research Kiel
Hellenic Centre for Marine Research (HCMR)
Leibniz Institute for Baltic Sea Research, Warnemünde
A.O. Kovalevsky Institute of Marine Biological Research - RAS
Environment Agency South West Regional Office
Environment Agency South East Regional Office
Environment Agency Solent and South Downs Area Office
Department of Labour Inspection, Ministry of Labour and Social Insurance
National Research Council of Italy - Institute for Marine and Coastal Environment (IAMC) (Sezione Capo Granitola)