Session OS4.11

[Programme]

OS4.11 | The Copernicus Marine Service

The Copernicus Marine Service

Convener: Stephanie Guinehut | Co-conveners: Anna Teruzzi, Julien Brajard, Andrea Storto, Benjamin JacobECSECS

Orals

| Mon, 24 Apr, 10:45–12:25 (CEST)

Room L2

Posters on site

| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)

Hall X5

Posters virtual

| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)

vHall CR/OS

The Copernicus Marine Service (previously known as the Copernicus Marine Environment Monitoring Service, CMEMS) provides regular and systematic reference information on the physical (including sea-ice and wind waves) and biogeochemical states of the global ocean and European regional seas. This capacity encompasses the description of the current ocean state (analysis and near-real time observations), the prediction of the ocean state a few days ahead (forecast), and the provision of consistent retrospective data records for recent decades (reanalyses and reprocessed observations). Copernicus Marine Service provides a sustainable response to private and public user needs, for academic, operational and private-sector activities and to support policies. The Copernicus Marine Service has started a new 7-yr phase covering 2021-2028.
The session focuses on the main Copernicus Marine Service activities on ocean modelling and coupling with other components of the climate system; data assimilation; processing of observations, impact and design of in-situ and satellite observing systems; verification, validation and uncertainty estimates of Copernicus Marine products; monitoring and long-term assessment of the ocean physical and biogeochemical states. Presentations dealing with the use and impact of Copernicus Marine products for downstream applications, including support to policies and directives, are also welcome.
Further, the session will encompass research activities that are required to maintain a state-of-the-art and user responsive Copernicus Marine Service and to prepare its long-term evolutions: extended range and ensemble ocean predictions, pan-European coastal zone monitoring, coupling with coastal systems and rivers, marine biology including higher trophic level modelling, Arctic ocean monitoring and forecasting and uptake of future Sentinel and other satellite missions, air/sea CO2 fluxes and carbon uptake, long-term regional ocean projections both for physics and biogeochemistry, digital oceans, big data and data science (AI, machine learning, etc).
Presentations are not limited to research teams directly involved in the Copernicus Marine Service and participation from external teams is strongly encouraged (e.g., from Horizon Europe projects relevant to Copernicus Marine and from downstream applications).

Orals: Mon, 24 Apr | Room L2

Chairpersons: Stephanie Guinehut, Anna Teruzzi, Julien Brajard

Copernicus Marine at the core

10:45–10:55

EGU23-6354

solicited

On-site presentation

Multi-Observation Thematic Assembly: existing products and future evolutions

Nathalie Verbrugge, Hélène Etienne, Bruno Buongiorno Nardelli, Tran Chau, Frédéric Chevallier, Daniele Ciani, Hervé Claustre, Gérald Dibarboure, Marion Gehlen, Eric Greiner, Nicolas Kolodziejczyk, Sandrine Mulet, Renosh Pannimpullath, Claudia Parracho, Michela Sammartino, Raphaëlle Sauzède, and Stéphane Tarot

Producing comprehensive information about the ocean has become a top priority to monitor and predict the ocean and climate change. Complementary to ocean state estimate provided by modelling/assimilation systems, a multi observations-based approach is developed thought the Copernicus Marine Service MultiOBservation Thematic Assembly (MOB TAC). Recent advances in data fusion techniques and use of machine-learning approach open the possibility of producing estimators of ocean physic and biogeochemistry (BGC) operationally, using input data from diverse sensors, satellites and in-situ programs.

MOB TAC provides the following multi observations products at global scale:

Blue ocean

3D temperature, salinity, geopotential height and geostrophic current fields, both in near-real-time (NRT) and as long time series (REP=Reprocessing) in delayed-mode;
2D sea surface salinity and sea surface density fields, both in NRT and as REP;
2D total surface and near-surface currents, both in NRT and as REP;
3D Vertical velocity fields as REP;
L2Q and L4 sea surface salinity from SMOS in REP and NRT (only L2Q)

Green ocean

2D surface carbon data sets of FCO2, pCO2, DIC, Alkalinity, saturation states of surface waters with respect to calcite and aragonite as REP;
Nutrient and Carbon vertical distribution (including Nitrates, Phosphates, Silicates, pH, pCO2, Alkalinity, DIC) profiles as REP and NRT;
3D Particulate Organic Carbon (POC), particulate backscattering coefficient (bbp) and Chlorophyll a (Chl-a) fields as REP.

Parallel to its portfolio, MOB TAC has and will further develop specific expertise about the integration of multiple satellites and in-situ based observations coming from the other CMEMS TACs and projects. Furthermore, MOB TAC provides specific Ocean Monitoring Indicators (OMIs), based on the above products, to monitor and the global ocean carbon sink. 

How to cite: Verbrugge, N., Etienne, H., Buongiorno Nardelli, B., Chau, T., Chevallier, F., Ciani, D., Claustre, H., Dibarboure, G., Gehlen, M., Greiner, E., Kolodziejczyk, N., Mulet, S., Pannimpullath, R., Parracho, C., Sammartino, M., Sauzède, R., and Tarot, S.: Multi-Observation Thematic Assembly: existing products and future evolutions, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-6354, https://doi.org/10.5194/egusphere-egu23-6354, 2023.

10:55–11:05

EGU23-8278

On-site presentation

A New High-Resolution Ocean Reanalysis for the Baltic Sea: Insights into Ocean Dynamics

Vasily Korabel, Ida Ringgaard, Jens Murawski, Vibeke Huess, Jun She, Lena Spruch, and Anja Lindenthal

Ocean reanalyses provide a valuable source of data for understanding the dynamics of the ocean, climate studies and practical applications. We introduce a new CMEMS high-resolution ocean reanalysis for the Baltic Sea for the period from 1993 to 2021. The reanalysis is an upgrade of the existing CMEMS products BALTICSEA_REANALYSIS_PHY_003_011 and BALTICSEA_REANALYSIS_BIO_003_012 and introduces numerous changes including higher horizontal resolution, approximately 1.9 km, a new versions of ocean, ice and biogeochemical models, and a new data assimilation scheme.

We have analyzed the reanalysis data to assess the performance of the new reanalyses focusing on the ocean dynamics. We found that the high resolution of the reanalysis allowed us to detect finer-scale features in the data, such as mesoscale eddies, that were not apparent in lower resolution dataset as well as improve the ocean currents.

We also used the reanalysis to study the occurrence and evolution of salt water inflows from the North Sea. Our results suggest that the high resolution of the reanalysis enables more accurate predictions of these events.

Overall, our study demonstrates the utility of the new high-resolution ocean reanalysis for understanding the dynamics of the Baltic Sea and improving our ability produce a physically consistent combination of model and observations.

How to cite: Korabel, V., Ringgaard, I., Murawski, J., Huess, V., She, J., Spruch, L., and Lindenthal, A.: A New High-Resolution Ocean Reanalysis for the Baltic Sea: Insights into Ocean Dynamics, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-8278, https://doi.org/10.5194/egusphere-egu23-8278, 2023.

A blue & white ocean

11:05–11:15

EGU23-17510

solicited

Virtual presentation

Towards continuous, evidence-based evolution of Copernicus Marine Service through open science practices : insights from the IMMERSE project.

Julien Le Sommer and the IMMERSE project consortium

The Copernicus Marine Service relies in a very fundamental way on digital tools whose deployment and routine implementation allow the transformation of information from observation networks into products available to users. In practice, these digital tools are software whose development is partly carried out in the framework of interaction with the academic community. These software packages bring together and summarize our collective understanding of ocean and sea-ice dynamics, observation networks and inversion techniques.

The evolution of the Copernicus Marine Service therefore necessarily involves the evolution of these software tools. A significant part of our community devotes energy and time to improving these software and the processes enabling its deployment in operational systems. The development of these software tools is therefore a central question in the transition from research to operation within the Copernicus Marine Service.

The NEMO modelling framework is an example of such scientific software on which the Copernicus Marine Service is based. This codebase is used as a tool to understand ocean and sea ice dynamics, to prepare observational networks, and to integrate information from observing systems into reanalysis and forecasts. In this it concentrates the work of a very large community on a very long time scale. Its evolution is in any case key for the evolution of the Copernicus Marine Service and its downstream applications.

Over the last four years, the consortium of the IMMERSE project has accompanied the development of the NEMO code and the organization of the transition of this development within the Copernicus Marine production centers. The project activities have led to a significant improvement in the computational efficiency of the code, to a better representation of the key physical processes. It also allowed the exploration of development practices based more fundamentally on open science approaches.

In this presentation we will propose a synthesis and a feedback on the contribution of these approaches to open science and on the stakes of the transition from research to operation in the framework of Copernicus Marine Service. We will recall the main results of the IMMERSE project and in particular the actions taken to accelerate this transition. We will also use the example of the collaborative data challenges deployed in the framework of altimetry data processing. We will try to paint an objective picture of the contribution of new collaborative work practices in the field.

How to cite: Le Sommer, J. and the IMMERSE project consortium: Towards continuous, evidence-based evolution of Copernicus Marine Service through open science practices : insights from the IMMERSE project., EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-17510, https://doi.org/10.5194/egusphere-egu23-17510, 2023.

11:15–11:25

EGU23-13365

On-site presentation

Validation of the Copernicus Marine Med-WAV modelled spectrum with available buoy measurements in the Mediterranean Sea

Charikleia L.G. Oikonomou, Dimitra Denaxa, and Gerasimos Korres

The Med-WAV system of the Mediterranean component (MED MFC) of the Copernicus Marine Environment Service regularly provides high-resolution analysis, forecast, and reanalysis of wave products. The Mediterranean Sea Waves Analysis and Forecast product (MEDSEA_ANALYSISFORECAST_WAV_006_017, Korres et al., 2022) has been operational since 2017. The hourly wave spectrum is computed at each model grid point and is discretised using 32 logarithmically allocated frequency bins and 24 equally distributed directional bins. Hourly wave parameters are obtained through the wave spectrum, with spectral parameters significant wave height and mean wave period (spectral moments (0,2) wave period) being continuously validated against satellite altimeter data and buoy measurements. Thus, careful monitoring has contributed to a more accurate representation of the Mediterranean wave system via system upgrades (Ravdas et al., 2018). Αccess to the wave spectrum itself may provide additional information on the sea state, revealing, for example, if it is composed of mixed sea systems. For the Med-WAV system, wave spectra have been available since June 2021 (not part of the Copernicus Marine Service catalogue) and are already used for wave downscaling applications within the Med Sea. Studies concerning comparisons of the modelled spectral shape and in-situ data for the Mediterranean basin are limited to this date. Such an analysis can lead to further parameter validation and contribute to system improvements. In-situ 1-D spectra are available through Copernicus Marine in-situ TAC (2022) (product INSITU_GLO_WAV_DISCRETE_MY_013_045) from buoys deployed in the west part of the basin. The modelled 1-D spectra (following the integration of the 2-D modelled spectrum over all directions) are compared against quality-controlled data from selected deep water buoys. Besides the spectral shape, further comparisons are performed, focusing on parameters that are of interest to the engineering community, e.g. the spectral moments (-1,0) wave period, the spectral moments (0,1) wave period, and the orbital wave velocity (Stopa et al., 2016). The model skill is assessed through commonly used quality metrics such as bias, root mean square difference, and scatter index.

References:

Korres, G., Oikonomou, C., Denaxa, D., & Sotiropoulou, M. (2022). Mediterranean Sea Waves Analysis and Forecast (CMEMS MED-Waves, MEDWAΜ4 system) (Version 1) Data set. Copernicus Monitoring Environment Marine Service (CMEMS). https://doi.org/10.25423/CMCC/MEDSEA_ANALYSISFORECAST_WAV_006_017_MEDWAM4

Ravdas M., Zacharioudaki A. and Korres G. (2018): Implementation and validation of a new operational wave forecasting system of the Mediterranean Monitoring and Forecasting Centre in the framework of the Copernicus Marine Environment Monitoring Service, Nat. Hazards Earth Syst. Sci., 18, 2675–2695, https://doi.org/10.5194/nhess-18-2675-2018

Copernicus Marine in situ TAC (2022). Copernicus Marine In Situ - Global Ocean Wave Observations Reanalysis. SEANOE. https://doi.org/10.17882/70345

Stopa J., Ardhuin F., Babanin A. and Zieger S. (2016): Comparison and validation of physical wave parameterizations in spectral wave models, Ocean Modelling, 103, 2-17, http://dx.doi.org/10.1016/j.ocemod.2015.09.003

How to cite: Oikonomou, C. L. G., Denaxa, D., and Korres, G.: Validation of the Copernicus Marine Med-WAV modelled spectrum with available buoy measurements in the Mediterranean Sea, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-13365, https://doi.org/10.5194/egusphere-egu23-13365, 2023.

11:25–11:35

EGU23-7859

On-site presentation

Sea level maps of the Arctic (and southern) ocean from satellite altimetry from 2011 to 2021

Pierre Veillard, Pierre Prandi, Matthis Auger, Yannice Faugere, and Gérald Dibarboure

In the polar regions satellite sea level observations are limited by the sea ice. Thanks to a dedicated processing, sea level can however be estimated within fractures in the ice (leads) enabling to produce continuous sea level maps including the ice-covered region.

Maps of sea level of the Arctic (Prandi et al., 2021) and Southern (Auger et al., 2022) ocean were produced over 2011-2021 by combining measurements of 3 satellites from 50°N/S to 88°N/S through optimal interpolation. The three satellite missions (Sentinel-3A, SARAL/AltiKa and Cryosat-2) are processed using the same standards and are in great agreement. The along-track data were ingested in the new CNES/CLS22 mean sea surface solution and in a prototype of global sea level maps. The products are provided on the Aviso Regional Products portal and serve as demonstration products for the future generation of operational CMEMS-SLTAC products.

The sea level maps are validated against hourly Gloss/Clivar tide gauge at Prudoe Bay and monthly PSMSL tide gauges. It is also compared to bottom pressure recorders at the north pole and in the Beaufort sea (BGEP project) showing great correlation at monthly timescale. At inter-annual timescale, the product sea level and steric height from in-situ profiles (BGEP project) show the same evolution in the Beaufort sea. Sea level trends are also estimated from this product and compared to model trends.

Arctic sea level is influenced by the atmospheric circulation. At large scale, the product sea level is correlated to the arctic oscillation index. At smaller scale in the Kara and Laptev sea regions, the product sea level is well correlated with zonal wind producing cross-shelf sea level accumulation.

How to cite: Veillard, P., Prandi, P., Auger, M., Faugere, Y., and Dibarboure, G.: Sea level maps of the Arctic (and southern) ocean from satellite altimetry from 2011 to 2021, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-7859, https://doi.org/10.5194/egusphere-egu23-7859, 2023.

11:35–11:45

EGU23-15844

ECS

On-site presentation

Modelling the evolution of Arctic multiyear sea ice over 2000-2018

Heather Regan, Pierre Rampal, Einar Olason, Guillaume Boutin, and Anton Korosov

Multiyear sea ice (MYI) cover in the Arctic has been monitored for decades using increasingly sophisticated remote sensing techniques, and these have documented a significant decline in MYI over time. However, such techniques are unable to differentiate between the processes affecting the evolution of the MYI. Further, estimating the thickness, and thus the volume of MYI remains challenging. Here we use the neXtSIM sea ice model, coupled to the ocean component of NEMO, to investigate the changes to MYI over the period 2000-2018. We exploit the Lagrangian framework of the sea ice model to introduce a new method of tracking MYI area and volume, which is based on identifying MYI during freeze onset each autumn. The model is found to successfully reproduce the spatial distribution and evolution of observed MYI extent. We discuss the balance of the processes (melt, ridging, export, and replenishment) linked to the general decline in MYI cover. The model suggests that rather than one process dominating the losses, there is an episodic imbalance between the different sources and sinks of MYI. We identify those key to the significant observed declines of 2007 and 2012; while melt and replenishment are important in 2012, sea ice dynamics play a significant role in 2007. Notably, the model suggests that convergence of the ice, through ridging, can result in large reductions of MYI area without a corresponding loss of MYI volume. This highlights the benefit of using models alongside satellite observations to aid interpretation of the observed MYI evolution in the Arctic. Based on the MYI tracking method here, we demonstrate how MYI is now implemented in the neXtSIM-F forecasts distributed by the CMEMS platform.

How to cite: Regan, H., Rampal, P., Olason, E., Boutin, G., and Korosov, A.: Modelling the evolution of Arctic multiyear sea ice over 2000-2018, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-15844, https://doi.org/10.5194/egusphere-egu23-15844, 2023.

A coastal & green ocean

11:45–11:55

EGU23-11148

Virtual presentation

Copernicus Marine Service: Coastal Extension

Angélique Melet, Pierre-Yves Le Traon, Marina Tonani, Antonio Reppucci, Muriel Lux, and Tina Silovic

Over the period 2021-2028, the Copernicus Marine Service will provide a continuity of service with incremental evolutions of products and services. Yet, major evolutions are proposed to better answer user needs, to keep the service at the state-of-the-art and to meet the new ocean monitoring and forecasting challenges required by European policies and users. In this context, a priority evolution for the Copernicus Marine Service to be implemented by 2028 is a major extension of the service towards the coastal ocean.

In this presentation, an overview of the proposed evolutions of the Copernicus Marine Service towards the coastal ocean will be provided.

Incremental evolutions are planned within the Copernicus Marine Service core service to better address coastal zones, including an improved representation of processes and forcings relevant for coastal zones, enhanced assimilation of observations over continental shelves, improved algorithms to provide satellite derived information on the ocean state and winds in the coastal zone, etc.

In addition, new short, mid- and long-term activities are scheduled to develop new services.

In the short-term, a Copernicus Coastal Thematic Hub will be implemented to gather in a single platform and access point the ensemble of information generated by several Copernicus Services on coastal zones. In addition, the Copernicus Marine Service will develop an improved coastal zone monitoring with new pan-European satellite-based products.

In the mid-term, a co-design and co-production of marine information will be developed between Copernicus Marine and EU Member States. In that regard, a selection of coastal systems operated by Member States will be coupled to Copernicus Marine monitoring and forecasting operational systems.

In the long-term, climate projections of the marine environment (physics, biogeochemistry, marine ecosystems) will be developed for the 21^st century at basin scale. This long-term evolution is building on precursor R&D European projects and aims at developing regional to local ocean climate services to support policy implementation, including for coastal zones.

How to cite: Melet, A., Le Traon, P.-Y., Tonani, M., Reppucci, A., Lux, M., and Silovic, T.: Copernicus Marine Service: Coastal Extension, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11148, https://doi.org/10.5194/egusphere-egu23-11148, 2023.

11:55–12:05

EGU23-9375

On-site presentation

Generation of multi-resolution, daily and gap-free ocean colour satellite products for coastal applications: the MultiRes project

Aida Alvera-Azcárate, Alexander Barth, Antoine Dille, and Dimitry Van der Zande

Coastal ocean areas are very dynamic regions subject to strong anthropogenic pressure (e.g. industry, tourism, renewable energies, population). Satellite data constitute a unique tool to study and monitor these complex areas at high spatial and temporal resolutions. While “traditional” ocean colour satellites like Sentinel-3 provide daily temporal resolution, their sensors do not measure at the spatial resolution needed to correctly resolve complex coastal dynamics. On the other hand, while high spatial resolution sensors, like the MSI onboard Sentinel-2 (10m - 60m resolution), are able to resolve these small scales, their revisit time is far from optimal (2-5 days for the Sentinel-2 A & B tandem). 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 (Sentinel-3 and Sentinel-2), we present a methodology to derive gap-filled multi resolution ocean colour products from the synergistic use of Sentinel-2 and Sentinel-3 data. Applying DINEOF (Data Interpolating Empirical Orthogonal Functions), we exploit and combine both the high-resolution spatial variability information contained in Sentinel-2 products as well as the high temporal information of Sentinel-3. Both Sentinel-2 and Sentinel-3 products are generated using the Copernicus Marine High-Resolution processor, which uses automated switching algorithms adapted to the local water conditions (at the pixel level) to retrieve optimal remote sensing spectra and water quality variables. With this approach, we address the high variability of different water types with small scale changes. The combined Sentinel-2 and Sentinel-3 products consist of Chlorophyll-a concentration and turbidity retrieved through a multi-algorithm approach with optimized quality flagging.

An analysis of turbidity and chlorophyll daily data at 100m resolution in the northern Adriatic Sea and the Belgian coastal zone will be presented, alongside an analysis of the spatial scales resolved by the original and merged DINEOF datasets.

How to cite: Alvera-Azcárate, A., Barth, A., Dille, A., and Van der Zande, D.: Generation of multi-resolution, daily and gap-free ocean colour satellite products for coastal applications: the MultiRes project, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-9375, https://doi.org/10.5194/egusphere-egu23-9375, 2023.

12:05–12:15

EGU23-14964

On-site presentation

Assessment of the CMEMS phytoplankton functional types products for inter-mission consistency

Hongyan Xi, Marine Bretagnon, Julien Demaria, Antoine Mangin, and Astrid Bracher

In the framework of Copernicus Marine Service Evolution Program, our current 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. These products provide global chlorophyll a data with per-pixel uncertainty for six PFTs spanning from 2002 until today. Aiming to merge these PFT data sets of different sensors into one long-term consistent satellite PFT product, as first steps we focus on the (inter-)calibration of the sensor specific PFT products using in-situ validation, cross-comparison and uncertainty estimation in different biogeochemical regions. The final continuous PFT observations will act as potentially important ocean monitoring indicators (OMI) to help sustain the ocean health by providing inter-annual variation and trend analyses of the surface phytoplankton community structure.

How to cite: Xi, H., Bretagnon, M., Demaria, J., Mangin, A., and Bracher, A.: Assessment of the CMEMS phytoplankton functional types products for inter-mission consistency, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-14964, https://doi.org/10.5194/egusphere-egu23-14964, 2023.

12:15–12:25

EGU23-2113

On-site presentation

Uncertainty and observability of target ecosystem indicators within the operational system for the North-West European Shelf

Jozef Skakala, David Ford, and Stefano Ciavatta

Posters on site: Mon, 24 Apr, 14:00–15:45 | Hall X5

Chairpersons: Anna Teruzzi, Stephanie Guinehut

Copernicus Marine at the core

X5.298

EGU23-3350

EUMETSAT significant contribution to CMEMS

Estelle Obligis

EUMETSAT, the European Organisation for Meteorological Satellites, is expanding its scope beyond supporting meteorology, environment and climate monitoring, to oceanography. To this end, EUMETSAT operates satellites and data processing systems, to provide services which are of high value to ocean monitoring and prediction, especially to the Copernicus Marine Environment Monitoring Service (CMEMS). Key sea and sea ice parameters operated by EUMETSAT secretariat and Ocean and Sea Ice Satellite Application Facilities for different timeliness are either redistributed by CMEMS or used to improve their user services.

EUMETSAT's current geostationary and polar Programmes, as well as the European Copernicus Programme of which EUMETSAT is a delegated entity, provide operational observations of the sea and sea ice.

The Meteosat geostationnary Programme (MSG and soon MTG) provides sea surface temperature and radiative fluxes from the SEVIRI instrument, and in the future from the FCI and IRS instruments. It is complemented by the polar Programmes EPS, and soon EPS-SG, which provide additional parameters of sea ice, sea surface temperature, sea surface radiative fluxes and wind vectors from AVHRR, ASCAT, IASI and in the future from MetImage, SCA, MWI,IASI-NG.

The Jason-CS Programme and the Copernicus Agreement with the EU have entrusted EUMETSAT with operation of the Copernicus Sentinel-3 and Jason-CS/Sentinel-6 satellites, and thus added ocean colour information and further surface topography and surface temperature products.

The Copernicus Sentinel-3 mission is today flying in constellation, jointly operated by ESA and EUMETSAT. Each Sentinel-3 satellite carries OLCI, SLSTR and topography payload, providing a wide range of operational products related to ocean topography (and related parameters), sea and sea ice surface temperature and ocean colour.

Sentinel-6 is a collaborative Copernicus mission implemented and co-funded by the European Commission, the European Space Agency, EUMETSAT, and the US, through NASA and NOAA. The two successive Copernicus Sentinel-6 satellites (A and B), launched in November 2020 and to be launched 2025, will fly the same specific non-sun-synchronous low-Earth orbit as the series of European/US TOPEX/Poseidon and Jason satellites to continue the high-precision ocean altimetry mission delivered for more than 30 years.

In this presentation, we will present in details EUMETSAT contributions to observations used by CMEMS, the recent innovations in the EUMETSAT stream of marine satellite data, and planned evolutions responding to CMEMS needs for ocean monitoring and prediction.

How to cite: Obligis, E.: EUMETSAT significant contribution to CMEMS, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-3350, https://doi.org/10.5194/egusphere-egu23-3350, 2023.

X5.299

EGU23-13228

The Copernicus ocean forecasting system for the Mediterranean Sea: description and quality assessment of recent evolutions

Emanuela Clementi, Giovanni Coppini, Gianpiero Cossarini, Gerasimos Korres, Massimiliano Drudi, Ali Aydogdu, Giorgio Bolzon, Sergio Cretí, Dimitra Denaxa, Laura Feudale, Anna Chiara Goglio, Alessandro Grandi, Paolo Lazzari, Rita Lecci, Antonio Mariani, Simona Masina, Charikleia Oikonomou, Jenny Pistoia, Stefano Salon, and Anna Teruzzi

The Mediterranean Monitoring and Forecast Center of the Copernicus Marine Service (Med-MFC) provides operational, regular and systematic reference information for the blue (Physics -Med-PHY- and Wave -Med-WAV) and green (Biogeochemistry -Med-BGC) state of the Mediterranean Sea. Based on state of the art modelling developments, the Med-MFC delivers Near Real Time (NRT) analysis and short-term (10 days) forecast and consistent Multi-Year (MY) Reanalysis reconstructions and their Interim extensions from 1987 (Med-PHY), 1993 (med-WAV) and 1999 (Med-BGC) till month minus one.

This work aims at providing a detailed description and a quality assessment of recent modelling upgrades which have been implemented in the latest operational systems since November 2022.

In particular, the major modelling advancements for each system are the following:

Med-PHY NRT system: improvements in both the hydrodynamic model with a better tidal representation and data assimilation components including a new Mean Dynamic Topography, assimilation of 7km filtered altimeter data and ingestion of newly available altimeter data (Hy-2A/B and Sentinel-6A); delivery of a new variable: vertical velocity.
Med-BGC NRT system includes the novel bio-optical configuration of the Biogeochemical Flux Model (BFM) and its coupling with the atmospheric light spectral model OASIM. Further, the 3DVarBio assimilation system is upgraded to include oxygen profiles from BGC-Argo.
Med-WAV NRT system upgrades include: (1) implementation and tuning of WAM Cycle6, (2) implementation of Charnock parameter reduction for strong winds and (3) ingestion of newly available altimeter data into the data assimilation system (Sentinel-6A).
All the 3 Reanalysis time series have been extended until June 2021.

The model evolutions have been extensively qualified by comparing model results from a series of sensitivity numerical experiments with respect to best available satellite and insitu observations in order to provide a reliable validation assessment. All the evolutions have provided, to a different extent, an overall product quality increase by means of a decreased error and bias with respect to the previous version of the systems when comparing modelling data to observations and previous literature.

How to cite: Clementi, E., Coppini, G., Cossarini, G., Korres, G., Drudi, M., Aydogdu, A., Bolzon, G., Cretí, S., Denaxa, D., Feudale, L., Goglio, A. C., Grandi, A., Lazzari, P., Lecci, R., Mariani, A., Masina, S., Oikonomou, C., Pistoia, J., Salon, S., and Teruzzi, A.: The Copernicus ocean forecasting system for the Mediterranean Sea: description and quality assessment of recent evolutions, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-13228, https://doi.org/10.5194/egusphere-egu23-13228, 2023.

X5.300

EGU23-7279

Performances of the new Copernicus Marine Service global ocean monitoring and forecasting real-time high-resolution system

(withdrawn)

Jean-Michel Lellouche, Eric Greiner, Giovanni Ruggiero, Romain Bourdalle-Badie, Charles-Emmanuel Testut, Olivier Le Galloudec, Mounir Benkiran, and Gilles Garric

A blue & white ocean

X5.301

EGU23-15318

Validation and intercomparison of ocean surface circulation analyses and forecasts

Simon van Gennip, Flavie Dubost, Pierre Gouvenou, Gregory Smith, Dorina Surcel-Colan, Yves Franklin Ngueto, Charly Régnier, Sylvain Cailleau, Bruno Levier, Stéphane Law-Chune, and Marie Drevillon

Operational systems provide daily surface velocities that reproduce as closely as possible the state of the ocean, a field that lays at the base of many diverse applications such as routing or search and rescue. There’s a growing need to assess different systems’ ability to reproduce ocean dynamical processes covering a range of spatio-temporal scales so to inform on their suitability for use in a vast range of users’ applications.

Here we present an initiative for putting in place a multi-metric validation platform for the comparison of ocean currents making use of a number of service evolution developments and concepts (MEDSUB py_eddy_tracker, HIVE…). Such tool is aimed at being operable in any region of interest, applicable to any Copernicus Marine products on the Wekeo DIAS cloud access service.

We show an intercomparison of the mesoscale eddy field of different Copernicus Marine systems in the IBI area, together with a range of statistical metrics on surface currents (Eulerian and Lagrangian) comparing against drifting buoys’ velocity measurements. The use of this platform is illustrated with the case of the Grande America catastrophe within the Bay of Biscay in March 2019 to analyse the currents and in fine to help decision-making. Such approach is shown to provide relevant user-oriented uncertainty information for a range of applications.

How to cite: van Gennip, S., Dubost, F., Gouvenou, P., Smith, G., Surcel-Colan, D., Ngueto, Y. F., Régnier, C., Cailleau, S., Levier, B., Law-Chune, S., and Drevillon, M.: Validation and intercomparison of ocean surface circulation analyses and forecasts, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-15318, https://doi.org/10.5194/egusphere-egu23-15318, 2023.

X5.302

EGU23-4961

Preliminary evaluation of the ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6)

Eric de Boisseson, Hao Zuo, Philip Browne, Marcin Chrust, Magdalena Balmaseda, Patricia de Rosnay, and Beena Balan Sarojini

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. Compared with the current ECMWF operational system-5 (ORAS5), the ocean and sea-ice model has been upgraded and is now driven by hourly atmospheric forcing. A new Ensemble-based variational ocean Data Assimilation (EDA) system has been developed. This new EDA system is constructed with a hybrid covariance model that provides flow-dependent background error variances and correlation scales, both of which are critical for better assimilation of sea surface observations.

Direct assimilation of L4 SST observations with ORAS6 EDA system greatly reduces SST biases, especially in critical regions around the Gulf Stream separation. Assimilation of L3 sea-ice concentration data within a multi-category sea ice model has been implemented as well and shows promising results in terms of sea ice spatial distribution and concentration. ORAS6 also includes a new freshwater budget closure scheme which allows to constrain the atmosphere-ocean freshwater fluxes using an external product.

This presentation will feature results from a prototype ORAS6 reanalysis with a focus on performance evaluation against its predecessor ORAS5 and potential impacts on coupled ECMWF forecasts.

How to cite: de Boisseson, E., Zuo, H., Browne, P., Chrust, M., Balmaseda, M., de Rosnay, P., and Balan Sarojini, B.: Preliminary evaluation of the ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6), EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-4961, https://doi.org/10.5194/egusphere-egu23-4961, 2023.

X5.303

EGU23-12484

Arctic marginal ice zone changes in the GREP ensemble reanalysis product

Doroteaciro Iovino, Julia Selivanova, and Francesco Cocetta

The rapid decline of the Arctic sea ice cover is a primary indicator of Earth’s changing climate. The variability of ice-covered area plays a crucial role in the modulating the ocean-atmosphere exchange. Knowledge of ice properties and their variability is necessary for an adequate simulation of those fluxes. Yet the response of September sea ice area or extent (SIA/SIE) is underestimated compared to observations in many global climate models.

Global ocean reanalyses provide consistent and comprehensive records of sea ice variables and are of pivotal significance for climate studies also in polar regions. We present the temporal and spatial variability of Arctic sea ice area in the CMEMS ensemble of global ocean reanalyses (GREP), from 1993 onward. We assess the accuracy of GREP in reproducing the evolution in time and space of total sea ice and discriminating between the marginal ice zone (MIZ) from consolidated pack ice. The MIZ properties markedly differ from the thicker, quasi-continuous ice cover of the inner pack, strongly influencing various atmosphere–ocean fluxes, especially the heat flux. The MIZ has become a significant component of contemporary Arctic sea ice cover, with a summer area comparable to that occupied by pack ice. The trend towards the MIZ is set to accelerate.

Compared to satellite products (OSISAF and CDR), GREP provides consistent estimates of recent changes in the Arctic sea ice area and properly reproduces observed interannual and seasonal variability, linear trend, as well as record highs and lows. For sea ice classes, the ensemble spread is comparable to the spread among observational estimates that is as large as the ensemble spread. GREP is shown to properly represent the variability of MIZ area during the growing and melting seasons, as well as their minima and maxima. More evident discrepancies between GREP and satellite products occur during summer, when the MIZ amount increases, causing a spread widening among individual reanalyses.

Our analysis suggests that GREP can be used to get a robust estimate of current Arctic sea ice state and recent trends in sea ice properties.

How to cite: Iovino, D., Selivanova, J., and Cocetta, F.: Arctic marginal ice zone changes in the GREP ensemble reanalysis product, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-12484, https://doi.org/10.5194/egusphere-egu23-12484, 2023.

X5.304

EGU23-16314

Sea ice information for the Greenlandic community

Mads H. Ribergaard, Till A.S. Rasmussen, Leandro Ponsoni, Matilde B. Kreiner, Jørgen Buus-Hinkler, Tore W. Hansen, and Pia Nielsen-Englyst

Sea ice information for the near coastal areas of the Greenlandic waters is of high importance for
the local communities and the maritime industry. The “truth” within sea ice information has
traditionally been associated with Manual Ice Charts; however, the demand for accurate forecasts
is increasing.
At first, this study will introduce a variety of satellite-based Copernicus marine service products
waters with a special focus on a novel automated ice chart that runs on a daily basis at the Danish
Meteorological Institute (DMI). The new product is based on a Convolutional Neural Network
(CNN), which combines passive microwave and SAR imagery in order to optimize retrieval. By
doing so, it produces the best possible sea ice concentration with a resolution comparable to the
manual ice charts.
Secondly, this study presents an improved operational forecast system for the Arctic sea ice
focusing on the Greenlandic waters. The physical basis of the system is close to the Arctic Marine
forecasting system within the Copernicus Marine System. This presentation will present the
forecast system and introduce the first attempts to assimilate a combination of level two data from
the automated ice charts gap-filled with level 2 passive microwave data.
We validate the sea ice edge forecast systems and the individual remotely sensed observational
products by computing the Integrated Ice Edge Error metric. This comparison is focused primarily
on the initial state and secondly on a comparison with the initial state.

How to cite: Ribergaard, M. H., Rasmussen, T. A. S., Ponsoni, L., Kreiner, M. B., Buus-Hinkler, J., Hansen, T. W., and Nielsen-Englyst, P.: Sea ice information for the Greenlandic community, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-16314, https://doi.org/10.5194/egusphere-egu23-16314, 2023.

A coastal & green ocean

X5.305

EGU23-11397

ECS

Modelling of biogeochemical parameters in the Baltic Sea with a NEMO-ERGOM model system and ensemble based data assimilation

Helen E. Morrison, Lena Spruch, Wibke Düsterhöft-Wriggers, Anja Lindenthal, and Lars Nerger

The current reanalysis and forecasting products provided by the Baltic Monitoring and Forecasting Centre (BAL-MFC) are based on an online one-way coupled NEMO-ERGOM system. Specifically, they use the 3D ocean-ice model NEMO v4.0 in combination with the sea ice and thermodynamic model SI3 and the biogeochemical model ERGOM in a version from 2015 developed at the Leibniz Institute for Baltic Sea Research (IOW). This contribution will highlight the status of the current system with respect to biogeochemical parameter modelling in the Baltic Sea. Furthermore, the advancements towards including biogeochemical ensemble based data assimilation into the products will be presented. For this, the Parallel Data Assimilation Framework PDAF v2.0 is used. The recent introduction of PDAF-OMI, the Observation Module Infrastructure, allows for a modular implementation of different observation types, thus ensuring that the data assimilation of both the physical parameters (satellite sea-surface temperature; temperature and salinity profiles) and the biogeochemical parameters (currently oxygen and nutrients profiles) can be done using the same code.

Validation results of the NEMO-ERGOM-PDAF system with profile assimilation of dissolved oxygen, nitrate and phosphate will be presented. The validation focusses on the influence of the biogeochemical data assimilation on the oxygen and nutrient conditions in the deep basins of the Baltic Sea, which are typically anoxic.

How to cite: Morrison, H. E., Spruch, L., Düsterhöft-Wriggers, W., Lindenthal, A., and Nerger, L.: Modelling of biogeochemical parameters in the Baltic Sea with a NEMO-ERGOM model system and ensemble based data assimilation, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11397, https://doi.org/10.5194/egusphere-egu23-11397, 2023.

X5.306

EGU23-3451

ECS

Assimilation of satellite temperature and chlorophyll observations for improved ecosystem predictions in the Baltic Sea

Yuchen Sun and Lars Nerger

The CMEMS Monitoring and Forecasting Center for the Baltic Sea (BAL-MFC) uses NEMO coupled to ERGOM to compute reanalysis and forecasts for the Baltic Sea. Operationally, in situ observations of nutrients and oxygen are assimilated using the parallel data assimilation framework (PDAF, https://pdaf.awi.de) using a fixed ensemble read from model snapshots. In the EU-project SEAMLESS, the operational model setup build the basis for enhancements by a fully dynamical data assimilation approach. For this, the coupled NEMO-ERGOM model system is augmented by the data-assimilation functionality of PDAF and NEMO-ERGOM is run in ensemble mode. Using an ensemble of 30 members, satellite surface temperature and chlorophyll observation are assimilated daily. We assess the impact of the assimilation on the forecast skill with a focus on the biogeochemical variables. In addition, additional ecosystem indicators, like trophic efficiency, pH, and phytoplankton community structure are analyzed. The developments on the data assimilation system are in wide parts generic an can also be applied with other model configurations or components. While the developments in SEAMLESS are independent from the BAL-MFC operational developments, it is planned to make them available to the operational service.

How to cite: Sun, Y. and Nerger, L.: Assimilation of satellite temperature and chlorophyll observations for improved ecosystem predictions in the Baltic Sea, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-3451, https://doi.org/10.5194/egusphere-egu23-3451, 2023.

X5.307

EGU23-13556

Global ocean product of profiles of nutrients and carbonate system variables within the framework of Copernicus Multi Observations Thematic Assembly Center (MOBTAC)

Pannimpullath Remanan Renosh, Raphaëlle Sauzède, and Hervé Claustre

To better understand the global ocean biogeochemical processes, it is crucial to strengthen the spatial coverage of high-quality biogeochemical variables. In this context, we provide high-quality nutrients (nitrate, phosphate and silicate) and carbonate system variables (total alkalinity, dissolved inorganic carbon, pH and partial pressure of carbon dioxide) profiles for BGC-Argo floats equipped with oxygen sensors and data qualified in delayed mode. These variables are derived using neural network models called CANYON-B and CONTENT for nutrients and carbonate system variables, respectively. For the Mediterranean Sea, we deliver these variables from a regional dedicated model called CANYON-MED. These variables are distributed from September 2002 to August 2022 as part of CMEMS MOBTAC service. The last update of the product will be available in CMEMS portal from March 2023.

At the global scale, nitrate, phosphate and silicate are retrieved with an accuracy (from the root mean squared difference) of 0.68, 0.051, 2.3 µmol kg^-1_, respectivelyand the carbonate system variables, i.e., total alkalinity, dissolved inorganic carbon, pH and partial pressure of carbon dioxide are retrieved with an accuracy of 6.2 µmol kg^-1, 6.9 µmol kg^-1, 0.013 (unitless), and 15 µatm, respectively. The global models (CANYON-B and CONTENT) have also been validated with independent data collected from recent various oceanic cruises not used for the development of the methods (from GLODAPv2.2021 database) and the Hawaii Ocean Time series (HOT). These independent validations demonstrate the validity of these models for global ocean applications. The nitrate and pH products were again validated against measured nitrate and pH from BGC-Argo floats equipped with oxygen sensors. Overall validation results were quite satisfactory at global and regional spatial scales.

Currently, the profiles are available for BGC-Argo floats with concurrent profiles of temperature, salinity and oxygen qualified in delayed mode. This product will be also available from near real-time observations from 2024.

How to cite: Renosh, P. R., Sauzède, R., and Claustre, H.: Global ocean product of profiles of nutrients and carbonate system variables within the framework of Copernicus Multi Observations Thematic Assembly Center (MOBTAC), EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-13556, https://doi.org/10.5194/egusphere-egu23-13556, 2023.

Posters virtual: Mon, 24 Apr, 14:00–15:45 | vHall CR/OS

Chairpersons: Andrea Storto, Benjamin Jacob

A blue & white ocean

vCO.5

EGU23-1478

ECS

On the potential of mapping sea level anomalies from Copernicus Marine Service with Random Forest Regression

Marcello Passaro and Marie-Christin Juhl

The sea level observations from satellite altimetry are characterised by a sparse spatial and temporal coverage. For this reason, along-track data are routinely interpolated into daily grids provided by the Copernicus Marine Service. These are strongly smoothed in time and space and are generated using an optimal interpolation routine requiring several pre-processing steps and covariance characterisation.

In this study, we assess the potential of Random Forest Regression to estimate daily sea level anomalies. One-year-long records of along-track sea level are used to build a training dataset whose predictors are the neighbouring observations. The validation is based on the comparison against daily averages from tide gauges. The generated dataset is on average 10% more correlated to the tide gauge records than the commonly used product from Copernicus. As an example, four time series estimated from satellite altimetry from this study (ML, blue) and CMEMS (orange) at the closest point to four tide gauges (green) are shown in the attached figure. Also shown as text is the Root Mean Square Error (RMSE) of the altimetry dataset considering the tide gauges as ground-truth. Moreover, improvements in the temporal characterisation of the sea level variability will be shown by means of a coherence analysis to be spread over all subannual periods. While the current Copernicus daily sea level anomalies are more optimised for the detection of spatial mesoscales, we show how the methodology of this study can improve the characterisation of sea level variability, particularly in the coastal zone.

Our study fits into the use of Copernicus Marine Service data in the context of pan-European coastal zone monitoring, since this innovative machine-learning based technique is validated along the coast of the North Sea. A publication of this study is in advanced state of review in Ocean Dynamics, a pre-print of the first draft is freely available from https://doi.org/10.48550/arXiv.2207.11962.

How to cite: Passaro, M. and Juhl, M.-C.: On the potential of mapping sea level anomalies from Copernicus Marine Service with Random Forest Regression, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-1478, https://doi.org/10.5194/egusphere-egu23-1478, 2023.

vCO.6

EGU23-7808

Statistical analysis of extreme waves from satellite altimetry from 2002 to 2020

Alice Laloue, Malek Ghantous, and Yannice Faugere

Statistical analysis of extreme wave heights over the globe requires long and sufficiently resolved time series of data that have so far only been available in model reanalyses. In recent years, time series of altimetry observations that allow us to perform this study have become available.

Global maps of extreme significant wave heights were produced over 2002-2020 using a level-4 gridded CMEMS product merging CMEMS significant wave height along-track measurements from 7 altimetric satellites. ERA5 reanalysis data, developed by the ECMWF and available from 1950 onwards, were used as a means of comparison.

The extreme significant wave heights were first analyzed using quantiles such as the 95th percentiles. A second approach based on the Peak-Over-Threshold and the Generalized Pareto Distribution allowed us to estimate 100-year significant wave heights. Global maps obtained on CMEMS altimetric were eventually compared with maps obtained on ERA5 reanalysis.

Extreme wave heights estimated with both approaches show a spatial structure similar to the maxima in the climatological mean but with greater magnitude. Largest trends are exhibited in the Southern Ocean, where the wave heights tend to increase significantly in all results, while the North Atlantic and North Pacific exhibit more complex patterns of trends.

How to cite: Laloue, A., Ghantous, M., and Faugere, Y.: Statistical analysis of extreme waves from satellite altimetry from 2002 to 2020, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-7808, https://doi.org/10.5194/egusphere-egu23-7808, 2023.

A coastal & green ocean

vCO.7

EGU23-7632

Enhancing coastal wave forecasts by improving forcings with deep learning – The Copernicus Marine Service Evolution KAILANI project

Manuel García-León, Lotfi Aouf, Javier García-Valdecasas, Cristina Toledano Lozano, Alice Dalphinet, José María García-Valdecasas, José María Terrés Nícoli, Roland Aznar, José Manuel López Collantes, and Marcos G. Sotillo

Ocean wave forecasting is highly demanded by end-users. There is a pressing need for reliable forecasts, to be applied in emergency services, harbour logistics, search-and-rescue operations, renewable energy or pollutant transport. In addition to this wide variety of uses, the coastal zone represents a modelling challenge due to the joint superposition of physical processes that make it a highly dynamic environment (including wind, waves, circulation and air-sea-land interactions).

In the observational side, remote sensing products such as those derived from Satellite Synthetic Aperture Radar (SAR, e.g. from the Sentinel missions) and High Frequency Radar (HFR, e.g. available at the Copernicus Marine Service - In Situ TAC) offers vast quantities of high-resolution spatio-temporal fields. However, their applicability within the operational ocean forecasts services is not straightforward.

The Copernicus Marine Service Evolution KAILANI project (2022 - 2024) aims to enhance the Copernicus Marine regional wave forecasts by improving the forcings required by spectral wave models: i.e. wind forcings and surface current fields. This enhancement comes from blending remote sensing observations with wind and surface currents forecasts. Artificial Intelligence Neural Networks (ANNs) has been proposed as the basis for this blending, as they allow to extract complex spatio-temporal features from remote-sensing data.

The impact on bias and error reduction would be assessed by testing these blended fields under a preoperational environment. The Iberia-Biscay-Ireland (IBI) area has been selected for this Proof of Concept, due to the good coverage of HFR along its coastline. Selection of pilot study sites in areas at the Cantabrian Sea (macrotidal), the Canary Islands (mesotidal), the NW Mediterranean (microtidal), and in the hot spot that is the Gibraltar Strait will ensure that KAILANI applicability ranges different environments.

This methodology focuses on the post-processing of the forcings. Then, it could be a complement for Data Assimilation algorithms. If successful, the proposed KAILANI methodology could be exportable to different Copernicus Marine Monitoring and Forecasting Centers (MFCs); without significant changes in their numerical codes and operation chain. Finally, the expected enhancement of the delivered coastal wave spectra and their integrated parameters (i.e. wave height, period and direction) will be key to foster downstream nearshore applications.

How to cite: García-León, M., Aouf, L., García-Valdecasas, J., Toledano Lozano, C., Dalphinet, A., García-Valdecasas, J. M., Terrés Nícoli, J. M., Aznar, R., López Collantes, J. M., and G. Sotillo, M.: Enhancing coastal wave forecasts by improving forcings with deep learning – The Copernicus Marine Service Evolution KAILANI project, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-7632, https://doi.org/10.5194/egusphere-egu23-7632, 2023.

vCO.8

EGU23-12602

The Copernicus Marine High-Resolution Coastal Service: status and evolutions

Dimitry van der Zande, Kerstin Stelzer, Carole Lebreton, Antoine Dille, Quinten Vanhellemont, Martin Böttcher, Roman Shevchuk, Kevin Ruddick, and Carsten Brockmann

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. SeaWiFS, MODIS-AQUA, MERIS, 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 by Copernicus Marine to support different types of end users.

With the High-Resolution Coastal Service (HROC), Copernicus Marine provides high resolution ocean colour products based on Sentinel-2/MSI data for European coastal waters. It offers 12 different products which are categorized in three groups: 1) near real time (NRT) daily products, 2) aggregated monthly products and 3) gap-filled daily products. The products are generated for the coastal waters (20km stripe for the coastline) of all European Seas and are provided in a 100m spatial resolution. The primary variable from which it is virtually possible to derive all the geophysical and transparency products is the spectral Remote Sensing Reflectance (RRS). This, together with the Particulate Backscatter Coefficient (BBP), constitute the category of the optics products. The spectral BBP product is generated from the RRS products using a quasi-analytical algorithm. The transparency products include turbidity (TUR) and Suspended Particulate Matter (SPM) concentration. They are retrieved through the application of automated switching algorithms to the RRS spectra adapted to the local water conditions. With this approach we address the high variability of different water types with small scale changes. The geophysical product consists of the Chlorophyll-a concentration (CHL) retrieved via a multi-algorithm approach with optimized quality flagging. High-Resolution products are available from the 1^st of January 2020 to current day, and we will present our experiences after 2 years of operational processing together with an overview of the integrated service improvements (e.g. improvements of flagging, cloud shadow identification and flagging of bottom reflection) and planned improvements for 2023. This includes the development of a correction procedure for the strong detector banding that can be observed over water in S2/MSI imagery, especially in the eastern part of the swath for summer/high sun images. In this procedure the per-band and per-detector geometry will be considered to generate corrected L1C imagery which can then be processed by the HROC processor.

The functionality and the handling of the products will be demonstrated by examples of use cases. It will be highlighted how the products can serve eutrophication monitoring for the EU Water Framework Directive (WFD) in the Southern North Sea or for spatial planning applications in the Baltic Sea. The combination with in-situ data and other spatial information is key for a holistic picture of the environment.

How to cite: van der Zande, D., Stelzer, K., Lebreton, C., Dille, A., Vanhellemont, Q., Böttcher, M., Shevchuk, R., Ruddick, K., and Brockmann, C.: The Copernicus Marine High-Resolution Coastal Service: status and evolutions, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-12602, https://doi.org/10.5194/egusphere-egu23-12602, 2023.

vCO.9

EGU23-11926

Operational detection of sargassum from sun-synchonous and geostionnary satellites

Marion Sutton, Jacques Stum, François Steinmetz, and Dominique Jolivet

Since 2011, unprecedent massive landings of sargassum seaweed (Sargassum fluitans and Sargassum natans) have been observed along the shorelines of a huge area encompassing the Gulf of Mexico, the Caribbean Sea and West Africa, having tremendous negative impacts over local communities.

Seen as a natural resource in the development of blue economy downstream applications or as an environmental threat for risk assessment and coastal management, sargassum data requires to be monitored at large geographical and temporal scales but also at local and real time scales.

With the development of floating algae indexes, the use of satellite observations is a key to answer these needs, as it allows to depict the abundance of sargassum and monitor their movements and trends at basin scale with wide swath sensors (MODIS-Aqua, OLCI Sentinel-3), and at local scale with high spatial resolution sensors (Sentinel-2, Landsat-8) and high temporal resolution (geostationary satellites GOES-16).

Since 2018, with the initial support of ESA, CLS has been developing and operating an operational system to provide sargassum detection products from a range of 6 sun-synchronous satellites in real time, using wide swath (MODIS, OLCI at 300m resolution) and high resolution optical sensors (MSI, OLI at 20m resolution).

Since 2020, with the initial support of CNES, HYGEOS has been developing a novel processing of geostationary satellite data on ABI sensor on board GOES-16 that allows to extend the satellite coverage over one day thanks to its 10-minute temporal resolution.

In the frame of the SODA project of the Copernicus Marine Service Evolution Program https://marine.copernicus.eu/about/research-development-projects/2022-2024/soda , the sargassum operational detections algorithms are being reviewed in the aim of providing the scientific research community and private downstream sectors with the best products adapted to each user needs.

The presentation will highlight the first results of the SODA project, focusing on the improvement of the level 1 to level 2 sargassum processing on OLCI and MODIS and on the work done on the ABI sensor.

How to cite: Sutton, M., Stum, J., Steinmetz, F., and Jolivet, D.: Operational detection of sargassum from sun-synchonous and geostionnary satellites, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11926, https://doi.org/10.5194/egusphere-egu23-11926, 2023.

vCO.10

EGU23-8527

Sensitivity of a 3D-model biogeochemistry to ocean physics forcing frequency

(withdrawn)

Laura Feudale, Stefano Salon, Gianpiero Cossarini, GIorgio Bolzon, and Emanuela Clementi