'''DEFINITION''' The sea level ocean monitoring indicator is derived from the DUACS delayed-time (DT-2021 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation. These products are distributed by the Copernicus Climate Change Service and are also available in the CMEMS catalogue (SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057). The mean sea level evolution estimated in the North-West Shelf region is derived from the average of the gridded sea level maps weighted by the cosine of the latitude. The annual and semi-annual periodic signals are adjusted and the time series is low-pass filtered. The curve is corrected for the effect of the Glacial Isostatic Adjustment using the ICE5G-VM2 GIA model (Peltier, 2004). '''CONTEXT''' Mean sea level evolution has a direct impact on coastal areas and is a crucial index of climate change since it reflects both the amount of heat added in the ocean and the mass loss due to land ice melt (e.g. IPCC, 2013; Dieng et al., 2017). Long-term and inter-annual variations of the sea level are observed at global and regional scales. They are strongly related to the internal variability observed at basin scale and these variations can strongly affect population living in coastal areas. '''CMEMS KEY FINDINGS''' Using the latest reprocessed altimeter sea level products, it is possible to estimate the sea level rise in the North-West Shelf region since 01/1993 (see the proposed figure of the indicator for the updated trend value). The associated uncertainty is provided in a 90% confidence interval and only errors related to the altimeter observation system have been considered in the sea level trend uncertainty (Prandi et al., 2021). The uncertainty due to the sea level internal variability of the observed ocean is not included and should be considered additionally. The North-West Shelf region is a large, deep and open ocean area, which explains the relatively reduced inter annual variability observed in the sea level record compared to semi-enclosed basin with shallow bathymetry (Baltic and Black seas). '''DOI (product):''' https://doi.org/10.48670/moi-00271

SeaDataNet Temperature and Salinity historical data collection for the North Arctic Ocean, including revised quality flags after quality control with ODV. 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/

Water body dissolved oxygen concentration - Seasonal Climatology for Danube Delta (NW Black Sea) for the period 1970-2018 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. (winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November). Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.5, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.730km and vertical correlation length of 45m were applied. Depth range: 0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0. Units: umol/l. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.

The IMOS Bio-Acoustic Ship Of Opportunity (BASOOP) sub-facility is part of a major international effort that aims to develop a global ocean Mid-trophic Automatic Acoustic Sampler (MAAS) being proposed as part of the CLimate Impacts on Oceanic TOp Predators (CLIOTOP) program. This SOOP dataset covers the Indian Ocean and waters south and east of Australia and across to New Zealand. BASOOP commenced on the 1st of July 2010 to collect underway acoustic data while vessels are transiting ocean basins. At present, nine vessels are participating in the BASOOP program. Six are commercial fishing vessels that have agreed to record data during transits to and from fishing grounds. The remaining three are scientific research vessels collecting underway acoustic data during transits and science operations. Bio acoustic signals allow understanding how mid-water prey species (known collectively as micronekton) such as small fish, squid, krill and jellyfish are distributed. Micronekton form the core of the ocean food web, transferring energy from primary producers at the ocean surface to top predators such as tunas, billfish, sharks, seals and seabirds. The mass and distribution of micronekton reflects broad-scale patterns in the structure and function of the ocean, as well as the dynamics of marine ecosystems. The mapping complements established observing systems such as physical sampling of ocean currents, surveys of ocean chemistry and biology (plankton and zooplankton), and electronic tagging and tracking of large marine fish and mammals. The combined information greatly enhances the capacity of marine scientists to monitor shifts in food availability over time, assisting in the monitoring and modelling of oceanography, ecosystems, fisheries and climate change, and in understanding the behaviour of top predators. Data Collection: All BASOOP vessels collect 38 kHz acoustic data from either Simrad EK60, ES60 (split beam) or ES70 echosounders. In all cases the 38 kHz echosounders are connected to Simrad ES38B transducers. This is a narrow-beam (7 o) ceramic transducer with good long term stability and manufacturer supplied calibration parameters. Research vessel Southern Surveyor also collects concurrent acoustic data at 12 and 120 kHz. The research vessel Aurora Australis collects concurrent acoustic data at 12, 120 and 200 kHz. The primary data-type recorded from the vessel-mounted echosounder systems is georeferenced calibrated water column volume backscatter, Sv [dB re 1 m-1], (Maclennan et al. 2002) . The raw acoustic data is post processed to (i) identify on-transit data and prioritise processing, (ii) apply calibration offsets, (iii) apply semi-automated filters to identify and reject bad data and (iv) create output stored in netCDF format, mean echointegrated Sv for cells of 1000 m distance and 10 m height. A full metadata record is also stored in each netCDF file. Reference: *Maclennan, D.N., Fernandes, P.G., and Dalen, J. 2002. A consistent approach to definitions and symbols in fisheries acoustics. ICES Journal of Marine Science: Journal du Conseil 59(2): 365.

'''Short description''': This product is entirely dedicated to ocean current data observed in near-real time. Current data from 3 different types of instruments are distributed: * The near-surface zonal and meridional velocities calculated along the trajectories of the drifting buoys which are part of the DBCP’s Global Drifter Program. These data are delivered together with wind stress components and surface temperature. The users have the choice between unfiltered data and 3-day filtered data. * The near-surface zonal and meridional total velocities, and near-surface radial velocities, measured by High Frequency radars that are part of the European High Frequency radar Network. These data are delivered together with standard deviation of near-surface zonal and meridional raw velocities, Geometrical Dilution of Precision (GDOP), quality flags and metadata. * The zonal and meridional velocities, at parking depth and in surface, calculated along the trajectories of the floats which are part of the Argo Program. '''DOI (product) :''' https://doi.org/10.48670/moi-00041

Three-hourly forecast maps of mean sea level pressure in Pascal in the Atlantic region, generated from ECMWF data twice a day, at 00UTC and 12UTC, with forecasts every 3 hours of the current day from 00h to the next 120 hours.

'''Short description:''' Products ADG (volume absorption coefficient of radiative flux in sea water due to dissolved organic matter and non algal particles), APH (volume absorption coefficient of radiative flux in sea water due to phytoplankton) and ATOT (volume absorption coefficient of radiative flux in sea water) are described in the PML Inherent Optical Property model (Smyth, T.J., Moore, G.F., Hirata, T. Aiken, J. (2006), a semi-analytic model for the derivation of ocean color inherent optical properties. The RRS product is defined as the spectral ratio of upwelling radiance and downwelling irradiance which can also be expressed as the ratio of normalized water leaving Radiance (nLw) and the extra-terrestrial solar irradiance (F0). The KD490 product identifies the turbidity of the water column, i.e., how visible light in the blue-green region of the spectrum penetrates within the water column. It is directly related to the presence of scattering particles in the water column. Inorganic Suspended Particulate Matter (SPM) is defined as all inorganic matter that stays on a glass fibre filter with an approximate pore size of 0.7 micrometres. Heavy metals and various organic micropollutants adsorb to SPM, the transport of which can affect the ecosystem. High concentrations of SPM cause turbidity which in turn affects the underwater light conditions, thus influencing primary production by phytoplankton and other algae in coastal waters. Products derived from OLCI are Rrs (400, 412, 443, 490, 510, 560, 620, 665, 674, 681, 709) and KD490. From the CCI multiple-sensor product are derived Rrs (410, 443, 490, 510, 560, 665nm), the Inherent Optical Properties, IOPs (ADG, APH, ATOT) and SPM. These products are remapped at nominal 300m (OLCI) and 1 Km spatial resolution using cylindrical equirectangular projection. '''Description of observation methods/instruments:''' Ocean colour technique exploits the emerging electromagnetic radiation from the sea surface in different wavelengths. The spectral variability of this signal defines the so called ocean colour which is affected by the presence of phytoplankton. By comparing reflectances at different wavelengths and calibrating the result against in-situ measurements, an estimate of in water absorption parameters can be derived. '''DOI (product) :''' https://doi.org/10.48670/moi-00076

Vulnerability assessment using DRASTIC (Aller et al., 1987) and COP methods

'''Short description:''' Experimental altimeter satellite along-track sea surface heights anomalies (SLA) computed with respect to a twenty-year [1993, 2012] mean with a 5Hz (~1.3km) sampling. All the missions are homogenized with respect to a reference mission (see QUID document or http://duacs.cls.fr [http://duacs.cls.fr] pages for processing details). The product gives additional variables (e.g. Mean Dynamic Topography, Dynamic Atmosphic Correction, Ocean Tides, Long Wavelength Errors, Internal tide, …) that can be used to change the physical content for specific needs This product was generated as experimental products in a CNES R&D context. It was processed by the DUACS multimission altimeter data processing system. '''DOI (product) :''' https://doi.org/10.48670/moi-00137

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (14 parameters with quality flag indicators), and covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters with 220031 CDI stations. Data were aggregated and quality controlled by 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)'. Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12 ). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/ Detailed documentation is available at: https://doi.org/10.6092/ec8207ef-ed81-4ee5-bf48-e26ff16bf02e The aggregated dataset can be downloaded as ODV spreadsheet, which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ) The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search