The Copernicus Marine Service is one of the six pillar services of the Copernicus program. It follows a user-driven process by taking into consideration user feedback to consistently improve its portfolio of products and services. Mercator Ocean International (here MOi) is entrusted by the European Union to implement the Copernicus Marine Service over the 2021-2027 period. Consequently, MOi is maintaining a permanent dialogue with users to collect their requirements and support them in the use of the service. Public Core users, such as policy stakeholders and regional sea conventions, are the main target, but Copernicus Marine Service is open to all communities (Core and non-Core users). Thus, MOi manages and analyses feedback from all users on the current service and their requirements for the service evolution. The user feedback process is dynamic and constantly evolving to target specific audiences and expertise. Currently, user needs are being collected through diverse channels and sources, such as through the User Support team, but also through training and surveys. To plan the service evolution, feedback from groups with specific expertise is needed to help fill the gap in what is being offered and to improve the data quality. As an example of these target audiences, the Champion User Advisory Group (CUAG), formed by active users of Copernicus Marine Service, and the National Marine Stakeholders Group, formed by member states, were consolidated. These groups allow regular interactions and communication among expert users and policymakers, which have been proven to be resourceful sources of feedback that help towards better services and data products. Among the main needs expressed by users, increasing spatial and temporal resolution of global models and reanalysis products, having longer ocean forecasts, and improving quality data are the top priorities.  With the added value of feasibility studies, these inputs are considered and evaluated internally and discussed with the producer's centers to ensure that the planned roadmap is aligned with the user requirements. Additionally, knowledge gaps and cutting-edge scientific developments are identified to plan the service evolution activities in the short, intermediate, and long term to better serve marine policy implementation and scientific research. In conclusion, the goal of this user-driven approach is to give Copernicus Marine Service the capacity to effectively answer users’ needs on ocean monitoring and forecasting at European and global levels. 

How to cite: Giunta, V., Derval, C., Crosnier, L., and Lux, M.: Designing and delivering user-driven products and services through Copernicus Marine Service , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16173, https://doi.org/10.5194/egusphere-egu24-16173, 2024.

Satellite missions carrying Thermal Infrared (TIR) and Passive Microwave Sensors (PMW) allow for high-resolution Sea Surface Temperature (SST) and Sea-Ice Surface Temperature (IST) retrievals under clear skies (TIR) and all weather retrievals (PMW) albeit with coarser resolution. This allows the continuous provision of SST and IST to operational Numerical Weather Prediction systems, climate models and to the wider scientific community. DMI is a Production Unit (PU) for the Sea Ice (SI) and SST Thematic Assembly Centers (TAC) of the Copernicus Marine Monitoring Service (CMS) providing a suite of level 4 SST products for the Arctic Ocean, the Baltic and North Sea daily, hourly and as multi-year products.

The L4 Near-Real-Time (NRT) SST product SST-BAL-SST-L4-NRT-OBSERVATIONS-010-007-b is a daily, multi-sensor, gap-free, optimally interpolated product derived from night-time SST retrievals at high resolution (0.02^o), available from 2016 onward. The L4 Multi-Year SST product SST-BAL-SST-L4-REP-OBSERVATIONS-010-016 is a daily, multi-sensor, level 4 optimally interpolated product using infra-red satellite observations from the ESA CCI and Copernicus C3S projects and high resolution sea ice information from SMHI and the SI TAC available from 1982 to 2022. The L4 Near-Real-Time Diurnal SST product SST-BAL-PHY-SUBSKIN-L4-NRT-010-034 is an hourly, gap-free satellite sub-skin SST analysis using L2P and L3 single-sensor SST data as input.

For the Arctic Ocean, the L4 NRT SST/IST product ARC-SEAICE-L4-NRT-011-008 is a daily, multi-sensor, gap-free and optimally interpolated analysis of sea surface and sea-ice surface temperatures at a resolution of 0.05^o extending north of 58 ^oN and available from 2018 onwards. The corresponding MY product, ARC-SEAICE-L4-NRT-011-016, is the first combined SST and IST analysis of the Arctic available from 1982 and up to 2023.

Within the current C3S portfolio, DMI will provide the SST ECV, i.e. a global (up to 90^o latitude), sub-skin product (20 cm) with a 0.05^o spatial resolution. The aim of the present study is to provide an overview of the available products and their performance along with insights on future developments and products.

How to cite: Karagali, I., Barfod Suhr, M., Nielsen-Englyst, P., Kolbe, W., and Høyer, J.: Arctic Ocean, North and Baltic Sea GHRSST-compliant SST and IST products for the Copernicus Marine Service, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19810, https://doi.org/10.5194/egusphere-egu24-19810, 2024.

The maritime industry continues to expand in the waters around Greenland. Apart from fisheries, which by far is the most important income for Greenland, another important element is transportation of goods and tourist, which in many locations are dependent on the conditions at sea. During the last two winters (2022 and 2023) severe sea ice conditions have been seen in Disko Bay. Especially in 2022, there were discussions on whether or not to fly in supplies instead of using the usual transportation on the ocean. A trustworthy high-resolution forecast of ocean and sea ice conditions could have remedied this decision.

Currently automated retrievals of observations from remote sensing and forecast model are doing a reasonable job when describing the current conditions and forecasting the short-term offshore conditions, however users are often interested in near shore coastal areas, where resolution matters. The near coastal environment is often not well resolved in Arctic/global models forecast models.

This study aim at developing a high-resolution (sub kilometer scale) operational coastal marine forecasting system built on the shoulders of already existing Copernicus services for the area of Disko Bay on the west coast of Greenland. In combination with already, existing products such as automated and manual ice charts it will improve the warning system for the area. A side effect is that the ice service will produce more frequent ice charts for Disko Bay, which will benefit the existing Copernicus Marine Service.

The seamless physical downscaling from the Copernicus Marine Services system to the near coastal area in Disko Bay will utilize boundary conditions from the Arctic Marine forecasting system. The system will be forced by a high-resolution none hydrostatic atmospheric forecast from the Danish Meteorological Institute at 2½km resolution. The study is funded by the Copernicus user demonstration program named “COP-INNO-USER”.

This presentation will focus on the developments within the service, benefits and challenges. It will also discuss how to integrate the results into operations at the Danish Meteorological Institute.

How to cite: Rasmussen, T., Hvid Ribergaard, M., and Sievers, I.: Disko Bay ocean and sea ice forecast, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18271, https://doi.org/10.5194/egusphere-egu24-18271, 2024.

A regional reanalysis is like a good local restaurant: it builds on local knowledge and focus is on local specialities. For the Baltic Sea, one of the most important local ‘specialities’, or features, is the gateway: the narrow and shallow Danish Straits where the salty North Sea water mass meets with the fresh Baltic Sea water. If this very important process of inflow of saline and oxygen-rich water from the North Sea into the Baltic Sea is not modelled correctly, the results will be of insufficient quality, and not represent the ocean accurately. Currently, global ocean models cannot run with sufficiently high resolution, nor do they focus on local features required to simulate the Baltic Sea adequately. This requires a regional ocean model. Here we present the CMEMS high-resolution ocean reanalysis for the Baltic Sea covering the 30 year period 1993 to 2023. The reanalysis consists of the physical state as well as the bio-geo-chemical state and the waves. Preliminary results from 2 on-going tasks will also be presented: 1) extending the reanalysis back in time to 1980 and 2) expanding the data assimilation from the present parameters (SST and in-situ temperature and salinity profiles) to include sea ice concentration, nutrients and oxygen.

How to cite: Ringgaard, I. M.: Baltic Sea reanalysis from Copernicus Marine Service – soaked in local knowledge, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15360, https://doi.org/10.5194/egusphere-egu24-15360, 2024.

In the frame of the second phase of the Copernicus Marine Service, starting in 2022, the WAVE Thematic Assembly Centre (TAC), a partnership between CLS and CNES, is responsible for the provision of a near-real-time wave service that started in July 2017. Near-real-time wave products derived from altimetry and SAR measurements are processed and distributed onto the Copernicus Marine Service catalogue.

This presentation will describe the existing products – along-track Level 3 and gridded Level 4 – and their applications such as near-real-time assimilation in wave forecasting systems, validation of wave hindcasts, etc.

In 2023, nadir data from SWOT mission and S6 were added to the constellation, enlarging the number of missions and techniques proposed in this TAC.

R&D work with internal users show that improving nadir data resolution near cost to 5Hz data enlarge the observability of coastal zones and high variability areas.

The product quality from CFOSAT mission dedicated to wave observation get better and better, with non wave signal filtering and a wider observability of wavelength between 30m and 1000m.

Working on the complementarity of observation between the different missions, Sentinel1, altimetry, CFOSAT and now SWOT appears as the new challenge.

The gridded Level-4 SWH and Spectral product directly benefit from the merging of information for NRT products.

How to cite: Ollivier, A., Zunino, P., Husson, R., Nigou, A., Philip, A., and Dibarboure, G.: Improved product quality in WAVE-TAC Copernicus Marine Service, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-21102, https://doi.org/10.5194/egusphere-egu24-21102, 2024.

An ensemble wave prediction system (EPS) at a 1/16^o grid horizontal resolution is being developed for the Mediterranean Sea, based on the WAM Cycle 6 wave model implementation. Open boundary conditions are provided by a North Atlantic wave model at 1/6^o resolution. Uncertainty is forced in the Med-waves EPS (in both the Mediterranean and the North Atlantic wave models), through a reduced size ensemble of 10m winds provided from the ECMWF atmospheric EPS (50 members + 1 control run) at approximately 18 km spatial resolution with a forecast horizon of 10 days ahead. The nominal ECMWF EPS ensemble size (50 ensemble + 1 control members) is reduced to 23+1 members using clustering techniques (k-means method). The Mediterranean 10-day ensemble wave forecasts are verified for a 6-month period (Jan-Jun 2022) against available satellite and wave buoys observations, as well as reference cases, like the forecast of the NRT Med-waves of the Copernicus Marine Service. A variety of both deterministic and probabilistic metrics are used in the verification process, in order to access as many forecast quality attributes as possible and to best determine the performance of the EPS. In general, the wave EPS shows a good forecast skill, which after the first 3-4 forecast days becomes even better than the skill of the deterministic Med-waves Copernicus Marine forecast system, indicating the importance of the ensemble approach as the forecast ranges increase.

How to cite: Kampouris, K. and Korres, G.: A wave ensemble prediction system for the Mediterranean Sea, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5332, https://doi.org/10.5194/egusphere-egu24-5332, 2024.

The Med-WAV system of the Mediterranean component (MED MFC) of the Copernicus Marine Environment Service has consistently been providing high-resolution wave product analyses, forecasts, and reanalyses. Accurately predicting wave parameters, particularly during storms, is crucial for ensuring maritime safety, the resilience of offshore structures, and managing coastal hazards. Consequently, since November 2023, the Mediterranean Sea Waves Analysis and Forecast product (MEDSEA_ANALYSISFORECAST_WAV_006_017, Korres et al., 2023) has been delivering estimates of the maximum crest-to-trough height, utilising the methodology proposed by Benetazzo et al. (2021). The system's ability to represent short-term maximum wave statistics is assessed through a comprehensive evaluation against buoys positioned in the western part of the basin, accessible via Copernicus Marine in-situ TAC (2023) (product INSITU_GLO_WAV_DISCRETE_MY_013_045). The results confirm that the operational system adeptly estimates maximum wave height over the Mediterranean Sea in accordance with the quality metrics identified in previous literature.

References

Korres, G., Oikonomou, C., Denaxa, D., & Sotiropoulou, M. (2023). Mediterranean Sea Waves Analysis and Forecast (Copernicus Marine Service MED-Waves, MEDWAΜ4 system) (Version 1) [Data set]. Copernicus Marine Service (CMS). https://doi.org/10.25423/CMCC/MEDSEA_ANALYSISFORECAST_WAV_006_017_MEDWAM4

Benetazzo A., Barbariol F., Pezzutto P., Staneva J., Behrens A., Davison S., Bergamasco F., Sclavo M. and Cavaleri L. (2021). Towards a unified framework for extreme sea waves from spectral models: rationale and applications. Ocean Eng. 219, 108263. https://doi.org/10.1016/j.oceaneng.2020.108263

Copernicus Marine in situ TAC (2023). Copernicus Marine In Situ - Global Ocean Wave Observations Reanalysis. SEANOE. https://doi.org/10.17882/70345

How to cite: Oikonomou, C. L. G. and Korres, G.: Near-real-time maximum wave height estimates over the Mediterranean Sea, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18710, https://doi.org/10.5194/egusphere-egu24-18710, 2024.

Ocean and sea-ice reanalyses are reconstructions of historical ocean and sea-ice states by ingesting observations into simulated model states through data assimilation methods. Reanalysis provides invaluable information for climate monitoring and is an essential component in long-term prediction such as seasonal to decadal forecasts. The Ocean ReAnalysis System-6 (ORAS6) is the 6^th generation of ocean and sea-ice reanalysis system developed at ECMWF. ORAS6 is forced by hourly ERA5 atmospheric fields and uses an ensemble variational ocean data assimilation (EDA) to produce an 11-member ensemble of ocean reanalyses. Both the new EDA system and the use of the latest reprocessed input datasets help making better use of ocean observations to provide ocean states with improved fit to observations both at the surface and the subsurface, a better representation of the daily cycle of the surface temperature and more accurate ocean transports. ORAS6 sea-ice states are produced using a new multi-category sea ice model assimilating sea-ice concentration observations and show improved fit to satellite observations. This increased complexity came with its lot of technical challenges but now opens the door for the future assimilation of new sea-ice variables such as sea-ice thickness and new diagnostics such as snow depth over sea-ice that will benefit from future satellite missions.

Ocean and sea-ice states from ORAS6 will be used to initialise the ocean component of the ECMWF operational coupled ensemble forecasts and provide the lower boundary conditions for the upcoming ERA6 atmospheric reanalysis produced by the Copernicus Climate Change Service (C3S). This presentation will feature results from the first stream of production of ORAS6 covering the most recent decade as well as a preview of ORAS6 streams covering the rest of the satellite-observed decades as well as the pre-satellite period with a focus on performance evaluation against the current ECMWF operational system-5 (ORAS5).

How to cite: de Boisseson, E., Zuo, H., Chrust, M., Browne, P., Balmaseda, M., and de Rosnay, P.: ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10659, https://doi.org/10.5194/egusphere-egu24-10659, 2024.

The ocean observing research infrastructures (RIs) in Europe (i.e. ICOS, EMSO, Euro-Argo) have successfully implemented a world-leading system of standardised Ocean observations over the past 15 years, building on more than a century of experiences by the involved marine institutes. This community has joined forces in the GEORGE project to take their observation to the next level of technology: GEORGE aims to develop an already existing observations network with novel state-of-the-art biogeochemical, multi-platform observing system operated across ERICs that can carry out integrated biogeochemical observations for characterisation of the Ocean carbon system. We have brought together 28 partners from leading European ocean-observing technology developers, academia, and the observing community. In addition to improving the measurement technologies of the existing RI’s, GEORGE will also streamline data treatment, e.g., quality control and the data flow to repositories, as well as adopt the novel methods developed for knowledge sharing to endorse rigorous learning without boundaries to ensure the sustainability of future ocean observations.

How to cite: Rintala, J.-M., Loucaides, S., Mowlem, M., Coppola, L., Edouard, L., Schuster, U., Becker, M., Dañobeitia, J., Lanteri, N., Sanders, R., Männistö, T., Sinikallio, L., Ahlgren, K., de Roeck, Y.-H., and Kutsch, K. and the GEORGE-Project: GEORGE-project provides next-generation multiplatform ocean observing technologies for RIs, a joint data flow from the sea bed to the surface ocean, and applies novel tools for knowledge sharing., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15466, https://doi.org/10.5194/egusphere-egu24-15466, 2024.

Since 1997, remote sensing of the ocean colour has routinely documented ecosystems health and productivity on a global scale. Therefore, these observations, especially chlorophyll-a concentration, are particularly important not only for the management of living marine resources but also for climate studies as the ocean might act as a sink or a source of carbon for the atmosphere. In such a context, reliable evaluations of trends, whether seasonal, annual, or especially interannual variations, are critical.

There are several products of surface chlorophyll concentrations derived from ocean colour sensing available through the Copernicus Marine Service. Some of them are more adapted to specific regional seas and use adapted algorithms for chlorophyll retrieval. There also exist chlorophyll products at global scale that are built with different assumptions each of them aiming at building the best time series (from 1997 up to now) for climate analysis. Moreover, some products offer uncertainty estimates and/or quality indicators that are useful for trend computations. We will present an intercomparison of trend evaluations made with these different products at different time scales (annual and interannual). Differences will be commented on and explained.

How to cite: Mangin, A., Jutard, Q., Prat, A., Demaria, J., and Bretagnon, M.: Evaluation of annual and interannual trends of marine Chlorophyll concentration, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17473, https://doi.org/10.5194/egusphere-egu24-17473, 2024.

In the framework of Copernicus Marine Service Evolution Program, our project GLOPHYTS aims at establishing a complete and systematic approach for a consistent long-term monitoring of surface ocean phytoplankton function types (PFTs) on global scale. The current global PFT products available on CMEMS are generated based on remote sensing reflectance from multi-sensor merged and Sentinel-3 OLCI data and OSTIA sea surface temperature product, using a set of empirical-orthogonal-function based PFT algorithms that were previously developed and recently updated within GLOPHYTS. These products provide global chlorophyll a data with per-pixel uncertainty for five PFTs spanning from 2002 until today. A correction and merging scheme has been applied to these PFT data sets of different sensors to generate long-term consistent satellite PFT products, which are expected to act as potentially important ocean monitoring indicators (OMI). In providing inter-annual variation and trend analyses of the surface phytoplankton community structure, the OMI is likely to help in the assessment of the ocean health. In the context of this study, we present the PFT time series on global scale and for some key regions, e.g.  the Arctic Ocean. For the latter, we will also show the perspective of improving PFT estimations using machine learning techniques. The proposed improved Arctic PFT products can supplement the current ocean colour data sets for the Arctic Ocean in the Copernicus Marine Service.

How to cite: Xi, H., Bretagnon, M., Demaria, J., Mangin, A., and Bracher, A.: Time series of major phytoplankton functional types serving as an Ocean Monitoring Indicator (OMI) for Copernicus Marine Service  , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20382, https://doi.org/10.5194/egusphere-egu24-20382, 2024.

High-quality satellite-based ocean colour products can provide valuable support and insights in the management and monitoring of coastal ecosystems. Today’s availability of Earth Observation (EO) data is unprecedented including traditional medium resolution ocean colour systems (e.g. Sentinel-3/OLCI) and high-resolution land sensors (e.g. Sentinel-2/MSI). Each of these sensors offers specific advantages in terms of spatial, temporal or radiometric characteristics, enabling the provision of different types of ocean colour products. This is also reflected in the portfolio of the Copernicus Marine service providing a number of different OC products to support different types of end users. While “traditional” ocean colour sensors like Sentinel-3 OLCI provide daily temporal resolution, the sensors onboard these satellites do not measure at the necessary high spatial resolution to resolve complex coastal dynamics. High spatial resolution sensors, like MSI onboard Sentinel-2 (10m - 60m resolution), are able to resolve these small scales, but their temporal revisit time is far from optimal (about 5 days considering the Sentinel-2 A & B constellation). Additionally, both high spatial resolution datasets and traditional ones are hindered by the presence of clouds, resulting in a large amount of missing data.

Given the high complementarity of these two measurement strategies, we present a methodology to derive daily cloud-free multi-resolution ocean colour products from the synergistic use of Sentinel-2 and Sentinel-3 data by applying DINEOF (Data Interpolating Empirical Orthogonal Functions). A key processing step in the gap-filling procedure is the harmonization between the ocean colour products (e.g. chlorophyll-a concentration -CHL-, Turbidity -TUR-) between the Sentinel-2/MSI and Sentinel-3/OLCI sensor. Due to differences between the sensors regarding spectral band sets and viewing geometry, CHL algorithms used for Sentinel-3/OLCI cannot be directly transferred to Sentinel-2/MSI resulting in the chlorophyll-a products often having diverging values between both sensors. To increase the coherency between the Sentinel-2/MSI and Sentinel-3/OLCI CHL products, a machine learning technique (LightGBM) was used to transfer the more complex CHL algorithms (e.g. band ratio algorithms, switching algorithms, other machine learning algorithms) from Sentinel-3/OLCI to Sentinel-2/MSI. Subsequently, DINEOF is used to generate the daily multi-resolution products by using the daily OLCI products to support gap-filling in the high-resolution 5-daily coastal products and retaining the high spatial resolution of Sentinel-2/MSI data and the high temporal resolution of OLCI data in the final product.

The machine learning and multi-resolution gap-filling approach will be demonstrated and validated in different regions (e.g. North Sea, North Adriatic Sea) to ensure suitability of the approach for integration into the operational high resolution COPERNICUS Marine Service. An analysis of TUR and CHL daily products at 100m resolution will be presented, alongside an analysis of the spatial and temporal scales retained by the approach. This work was performed in the Copernicus Marine Service Evolution Project MultiRes (21036-COP-INNO-SCI)

How to cite: van der Zande, D., Alvera-Azcárate, A., Massant, J., and Stelzer, K.: Multi-Resolution Ocean Color roducts to support the Copernicus Marine High-Resolution Coastal Service , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18174, https://doi.org/10.5194/egusphere-egu24-18174, 2024.

With over 2 billion people relying on the marine resources, the East Asian seas have nourished rapid economic growth over the past decades. But this comes at the expense of ocean health. Coastal-SOS - “Coastal Zones Under Intensifying Human Activities and Changing Climate: A Regional Programme Integrating Science, Management and Society to Support Ocean Sustainability”, a UN Ocean Decade endorsed project aims to provide solutions for the sustainable development of coastal ocean through effective integration of science, governance, and society. Numerical modelling is a key programmatic effort, serving synthesis analysis, mechanistic studies, and most importantly, predictions, which will contribute to construct the next generation of product: the data-model fully integrated Digital Twin Ocean. One of the expected outcomes of this project is a decision-making support system and toolbox aided by numerical modelling and the Digital Twin Ocean initiative that will result in integrated coastal management and development of marine spatial planning and ecosystem conservation practices. I will review the existing observational data and modelling work in Xiamen Bay and Changjiang Estuary which are two pilot sites and discuss plan of constructing a Digital Twin Ocean in these regions.

How to cite: Chai, F.: Digital Twin Ocean for China Coastal Seas, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14472, https://doi.org/10.5194/egusphere-egu24-14472, 2024.

The ocean surface wind plays a key role in the exchange of heat, gases and momentum at the atmosphere-ocean interface. It is therefore crucial to accurately represent the wind forcing in physical ocean model simulations. A comparison of scatterometer observations and global numerical weather prediction (NWP) model wind fields revealed substantial local systematic errors in wind vector components and spatial derivatives. The widespread use of NWP model winds in the computation of ocean surface processes implies that these biases propagate into modelled air-sea fluxes, surface waves and currents.

Temporally-averaged gridded differences between geolocated scatterometer wind data and NWP wind fields can be used to correct for persistent local NWP wind vector biases. By combining these scatterometer-based bias corrections with global, hourly NWP wind fields, high-resolution wind forcing products can be created for the ocean modelling community and other users.

In 2022, new hourly and monthly Level-4 (L4) surface wind products were introduced in the Copernicus Marine Service catalogue. These products include global bias-corrected 10-m stress-equivalent wind, surface wind stress fields and spatial derivatives. The bias corrections are calculated from Copernicus Marine Service Level-3 wind products for a combination of scatterometers and their collocated European Centre for Medium-range Weather Forecasts (ECMWF) model winds. The hourly real-time product covers the past two years and uses ECMWF operational model forecasts. The hourly and monthly multi-year products currently span the period from August 1999 to 3 months before present-day and are based on the ECMWF ERA5 reanalysis. In 2024, the multi-year products will be extended backward to 1991, covering a period of more than 30 years. The spatial bias correction fields are found to be highly consistent between different scatterometers and over time. Compared to the uncorrected ECMWF winds, the L4 winds correspond better to moored buoy observations and independent scatterometer observations. Like any Copernicus Marine Service product, the wind products are freely and openly available for all operational, commercial and research applications.

How to cite: Giesen, R. and Stoffelen, A.: Multi-decadal surface wind forcing products for the Copernicus Marine Service, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13185, https://doi.org/10.5194/egusphere-egu24-13185, 2024.

Qualification and validation of operational ocean products are fundamental processes and vital part of the Copernicus Marine Service for evaluating added value of any new or upgraded release and for monitoring forecasting systems skills in operations. These have an important impact on both users and model developers, in providing a comprehensive understanding of forecasting systems reliability. As cross-cutting activity at production units’ level, and as providers of analysis and forecast ocean products for the Iberia-Biscay-Ireland (IBI) and Northwest Shelf (NWS) regions in the frame of the Copernicus Marine Service, we are continuing to incrementally evolve evaluation methods of forecasting products by improving our capacity in analysing ocean model data using newly available in-situ and satellite observations.

In this presentation, an overview of today capacity in assessing operational ocean model products derived from the Northeast Atlantic and Shelf Seas regions model is presented, including evaluation of ongoing numerical experiments, with an outlook on future product quality evolution. Starting from the NARVAL tool, currently used by the IBI Monitoring and Forecasting Centre for assessing daily operational production of physical and biogeochemical variables, we show how new digital tools can support regional fit-for-purpose assessment and perform multi-model/multi-parameter/multi-frequency verification (with a particular focus on biogeochemical variables) by accessing, using, and interoperating operational products available in the target regions through the Copernicus Marine Data Store.

This work presents the operational daily evaluation and monitoring of the IBI and NWS Blue and Green Ocean products, with a focus on recent systems upgrades and on forecast performances. Evolutions of product quality tools will include integration of new product types - like interim and multi-year regional datasets - with implementation of new metrics, and development of a new digital validation service where users (e.g., end users and intermediate users, including operational teams) will have access to NWS operational systems skills.

How to cite: Ciliberti, S. A., Alonso, A., Amo-Baladron, A., Castrillo, L., Garcia, M., Escudier, R., Levier, B., Gutknecht, E., Reffray, G., Aouf, L., Dalphinet, A., Louise, L., Aznar, R., Sotillo, M., and Cailleau, S.: Progresses in assessing the quality of the Copernicus Marine near real time Northeast Atlantic and Shelf Seas models application., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10942, https://doi.org/10.5194/egusphere-egu24-10942, 2024.

The EDITO-Model Lab project is aiming to develop the next generation of ocean and coastal models, combining artificial intelligence and high-performance computing, to be integrated into the EDITO public infrastructure, providing access to Focus applications. The improved core model suite together with automated model builders and downscaling tools, as well as high-resolution data sources from both numerical simulations and machine learning approaches will be published in an interactive manner on the EDITO platform.

In this work we demonstrate the capabilities of the European Digital Twin Ocean in so called Focus Applications, designed for intermediate users that are interested in ocean and coastal management. The Focus Applications cover three areas in line with the EU Mission "Restore our Ocean and Waters". Biodiversity: Optimizing Marine Protected Areas by simulating biodiversity indicators and habitat suitability; Zero Carbon: Reducing carbon emissions of the marine transportation industry by including waves and currents in optimizing ship routing; and Zero Pollution: Reducing marine pollution by simulating the transport of oil spills and marine plastics, assessing hazards and backtracking to the source.

By developing these Focus Applications and deploying them in the EDITO public infrastructure, the EDITO Model Lab consortium hopes to showcase the value of the next generation of ocean models (DTO engine), moreover contribute to a fruitful discussion with intermediate users around observing, simulating, forecasting and projecting coastal and ocean processes. This work includes interactive demonstrations.

How to cite: Mészáros, L., Lucas Dols, F., Staneva, J., Benjamin, J., Pein, J., Chen, W., Coppini, G., Mannarini, G., Federico, I., Leonardo Salinas, M., Butenschön, M., Murawski, J., She, J., Pinardi, N., Alessandri, J., Seracini, M., and El Serafy, G.: Underlying models for the European Digital Twin Ocean, a demonstration of three Focus Applications, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20156, https://doi.org/10.5194/egusphere-egu24-20156, 2024.