Copernicus Marine Service: achievements, future challenges and long-term evolution

2020 ◽  
Author(s):  
Pierre-Yves Le Traon
Keyword(s):  
Marine Environment ◽  
Global Ocean ◽  
Reference Information ◽  
Operational Capabilities ◽  
Service Evolution ◽  
Wide Range ◽  
Future Challenges ◽  
Marine Environment Monitoring ◽  
Monitoring Service

<p>The Copernicus Marine Environment Monitoring Service (CMEMS) provides regular and systematic reference information on the physical state, variability and dynamics of the ocean, ice and marine ecosystems for the global ocean and the European regional seas.  The Copernicus Marine Service has run a successful initial phase over the past five years.  Operational capabilities have been demonstrated, user uptake and user base have been steadily increasing and service evolution activities have allowed regular improvements of the products and services provided to users.  CMEMS now serves a wide range of users (more than 21,000 subscribers are registered to the service) and applications (maritime safety, marine resources, coastal and marine environment, weather, seasonal forecast and climate).  An overview of CMEMS achievements will be given and the presentation will highlight the essential role of R&D activities.  CMEMS priorities and scientific challenges for Copernicus 2 (2021-2027) will then be discussed.   </p>

Ocean reporting of the Copernicus Marine Environment Monitoring Service

2020 ◽  
Author(s):  
Karina von Schuckmann ◽  
Pierre-Yves Le Traon
Keyword(s):  
Marine Environment ◽  
State Of The Art ◽  
Value Added ◽  
Global Ocean ◽  
Environment Monitoring ◽  
Web Portal ◽  
Environmental Reporting ◽  
Wide Audience ◽  
Marine Environment Monitoring ◽  
Monitoring Service

<p>The Copernicus Marine Environment Monitoring Service (CMEMS) ocean state-of-the-art ocean reporting for the global ocean and European seas is part of the production center service elements in order to establish a unique reference of value-added expert information at a regular frequency. This is achieved through two principal activities:</p><ol><li>Annual release of the peer-reviewed CMEMS Ocean State Report containing a state-of-the-art value-added synthesis of the ocean state, variability and change from the past to present</li> <li>Ocean Monitoring Indicators and related operational framework on the CMEMS web portal. In particular, CMEMS has developed several indicators based on global or regional ocean reanalyses. For a series of indicators, consistency estimates are available, based on a multiproduct approach inherited from CLIVAR/GODAEIV-TT ORA IP.</li> </ol><p>This activity is aiming to reach a wide audience from the scientific community, over climate and environmental service and agencies, environmental reporting bodies, decision maker to the general public. Currently, the ocean state report activity is in its 5<sup>th</sup> cycle, and a huge number of indicators have been made freely available via the CMEMS web portal, including numerical data, scientific and quality context and product documentation. We will give here an overview on the CMEMS ocean reporting activity, highlight main outcomes, and introduce future plans and developments.</p>

scholarly journals 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

2018 ◽  
Vol 18 (10) ◽  
pp. 2675-2695 ◽  
Author(s):  
Michalis Ravdas ◽  
Anna Zacharioudaki ◽  
Gerasimos Korres
Keyword(s):  
Mediterranean Sea ◽  
Marine Environment ◽  
Model Performance ◽  
Environment Monitoring ◽  
Marine Research ◽  
Forecasting System ◽  
The Mediterranean ◽  
Marine Environment Monitoring ◽  
Monitoring Service ◽  
Wave Forecasting

Abstract. Within the framework of the Copernicus Marine Environment Monitoring Service (CMEMS), an operational wave forecasting system for the Mediterranean Sea has been implemented by the Hellenic Centre for Marine Research (HCMR) and evaluated through a series of preoperational tests and subsequently for 1 full year of simulations (2014). The system is based on the WAM model and it has been developed as a nested sequence of two computational grids to ensure that occasional remote swell propagating from the North Atlantic correctly enters the Mediterranean Sea through the Strait of Gibraltar. The Mediterranean model has a grid spacing of 1∕24∘. It is driven with 6-hourly analysis and 5-day forecast 10 m ECMWF winds. It accounts for shoaling and refraction due to bathymetry and surface currents, which are provided in offline mode by CMEMS. Extensive statistics on the system performance have been calculated by comparing model results with in situ and satellite observations. Overall, the significant wave height is accurately simulated by the model while less accurate but reasonably good results are obtained for the mean wave period. In both cases, the model performs optimally at offshore wave buoy locations and well-exposed Mediterranean subregions. Within enclosed basins and near the coast, unresolved topography by the wind and wave models and fetch limitations cause the wave model performance to deteriorate. Model performance is better in winter when the wave conditions are well defined. On the whole, the new forecast system provides reliable forecasts. Future improvements include data assimilation and higher-resolution wind forcing.

Intercomparison of Phytoplankton functional types dynamics from satellite observations

2021 ◽  
Author(s):  
Marine Bretagnon ◽  
Séverine Alvain ◽  
Astrid Bracher ◽  
Philippe Garnesson ◽  
Svetlana losa ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Marine Environment ◽  
Model Simulation ◽  
Chlorophyll Concentration ◽  
Satellite Observations ◽  
Global Ocean ◽  
Ocean Colour ◽  
Marginal Seas ◽  
Functional Types ◽  
Wide Range

<p>Copernicus marine environment monitoring service (CMEMS) gives users access to a wide range of ocean descriptors. Both physics and biogeochemistry of the marine environment can be studied with complementary source of data, such as in situ data, modelling output and satellite observations at global scale and/or for European marginal seas. Among the ocean descriptors supplied as part of CMEMS, phytoplankton functional types (PFTs) describe the phytoplanktonic composition at global level or over European marginal seas. Studied phytoplankton assemblage is particularly important as it is the basis of the marine food-web. Composition of the first trophic level is a valuable indicator to infer the structure of the ecosystem and its health. Over the last decades, ocean colour remote sensing has been used to estimate the phytoplanktonic composition. The algorithms developed to estimate PFTs composition based on ocean colour observation can be classified in three categories: the spectral approaches, the abundance-based approaches (derived from the chlorophyll concentration) and the ecological approaches. The three approaches can lead to differences or, conversely, to similar patterns. Difference and similarity in PFTs estimation from remote sensing is a useful information for data assimilation or model simulation, as it provides indications on the uncertainties/variability associated to the PFT estimates. Indeed, PFT estimates from satellite observations are increasingly assimilated into ecological models to improve biogeochemical simulations, what highlights the importance to get an index or at least information describing the validity range of such PFTs estimates.</p><p>In this study, four algorithms (two abundance-based, and two spectral approaches) are compared. The aim of this study is to compare the related PFT products spatially and temporally, and to study the agreement of their derived PFT phenology. This study proposes also to compare PFT algorithms developed for the global ocean with those developed for specific regions in order to assess the potential strength and weakness of the different approaches. Once similarities and discrepancies between the different approaches are assessed, this information could be used by model to give an interval of confidence in model simulation.</p>

The High Frequency coastal radar network in the Mediterranean: joint efforts towards a fully operational implementation

2021 ◽  
Author(s):  
Pablo Lorente ◽  
Keyword(s):  
Marine Environment ◽  
High Frequency ◽  
Production Management ◽  
Hot Spot ◽  
Coastal Areas ◽  
Coastal Hazards ◽  
Current Status ◽  
Wide Range ◽  
The Mediterranean

<p>The Mediterranean Sea is considered a relevant geostrategic region and a prominent climate change hot spot. This semi-enclosed basin has been the subject of abundant studies due to its vulnerability to sea-level rise and other coastal hazards. With the steady advent of new technologies, a growing wealth of observational data are nowadays available to efficiently monitor the sea state and properly respond to socio-ecological challenges and stakeholder needs, thereby strengthening the community resilience at multiple scales.</p><p>Nowadays, High-Frequency radar (HFR) is a worldwide consolidated land-based remote sensing technology since it provides, concurrently and in near real time, fine-resolution maps of the surface circulation along with (increasingly) wave and wind information over broad coastal areas. HFR systems present a wide range of practical applications: maritime safety, oil spill emergencies, energy production, management of extreme coastal hazards. Consequently, they have become an essential component of coastal ocean observatories since they offer a unique dynamical framework that complement conventional in-situ observing platforms. Likewise, within the frame of the Copernicus Marine Environment Monitoring Service (CMEMS), HFR are valuable assets that play a key pivotal role in both the effective monitoring of coastal areas and the rigorous skill assessment of operational ocean forecasting systems.</p><p>The present work aims to show a panoramic overview not only of the current status of diverse Mediterranean HFR systems, but also of the coordinated joint efforts between many multi-disciplinary institutions to establish a permanent HFR monitoring network in the Mediterranean, aligned with European and global initiatives. In this context, it is worth highlighting that many of the Mediterranean HFR systems are already integrated into the European HFR Node, which acts as central focal point for data collection, homogenization, quality assurance and dissemination and promotes networking between EU infrastructures and the Global HFR network.</p><p>Furthermore, priority challenges tied to the implementation of a long-term, fully integrated, sustainable operational Mediterranean HFR network are described. This includes aspects related to the setting up of such a system within the broader framework of the European Ocean Observing System (EOOS), and a long-term financial support required to preserve the infrastructure core service already implemented. Apart from the technological challenges, the enhancing of the HFR data discovery and access, the boosting of the data usage as well as the research integration must be achieved by building synergies among academia, management agencies, state government offices, intermediate and end users. This would guarantee a coordinated development of tailored products that meet the societal needs and foster user uptake, serving the marine industry with dedicated smart innovative services, along with the promotion of strategic planning and informed decision-making in the marine environment.</p>

scholarly journals PEMETAAN DISTRIBUSI TOTAL SUSPENDED SOLID DAN PERUBAHAN GARIS PANTAI DI SIDOARJO-PASURUAN DENGAN MENGGUNAKAN DATA PENGINDERAAN JAUH

GEOMATIKA ◽  
2020 ◽  
Vol 26 (1) ◽  
pp. 25
Author(s):  
Niken Dwi Wijayanti
Keyword(s):  
United States ◽  
Marine Environment ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
United States Geological Survey ◽  
Landsat 8 ◽  
Environment Monitoring ◽  
Landsat 7 ◽  
Marine Environment Monitoring ◽  
Monitoring Service

<p>Perairan Porong merupakan daerah muara sungai yang mengalami proses sedimentasi akibat bermuaranya air Sungai Porong ke Selat Madura yang membawa sedimen. Hal tersebut diduga akan menyebabkan terjadinya perubahan garis pantai yang ada di sekitarnya. Disamping itu, perubahan morfologi daratan seperti abrasi atau sedimentasi dipengaruhi oleh faktor oseanografi fisik seperti arus. Penelitian ini bertujuan untuk memahami pengaruh arus terhadap distribusi <em>Total Suspended Solid</em> (TSS) serta dampaknya terhadap perubahan garis pantai di Perairan Sidoarjo-Pasuruan. Data yang digunakan yaitu citra Landsat 7 (2002) dan Landsat 8 (2013 dan 2017) yang diperoleh dari<em> United States Geological Survey </em>serta data arus dari <em>Copernicus Marine Environment Monitoring Service</em>. Penginderaan jauh digunakan untuk menganalisa perubahan garis pantai dan distribusi TSS. Hasil penelitian menunjukkan arus, dengan kecepatan 0.02-0.1 m/s, di Perairan Sidoarjo-Pasuruan berpengaruh terhadap distribusi TSS dengan arah menuju Barat dan Barat Laut. Konsentrasi TSS yang tinggi di perairan dekat pantai menyebabkan terjadinya perubahan garis pantai yang ditandai dengan tingginya sedimentasi di lokasi tersebut. Lebih lanjut hasil menunjukkan bahwa perubahan garis pantai di Sidoarjo-Pasuruan tahun 2002-2013 sebesar 9,305 km dan 2013-2017 sebesar 3,226 km. Peningkatan konsentrasi TSS di Perairan Sidoarjo-Pasuruan sebanding dengan penambahan garis pantai.</p><p><em><br /></em></p>

The Copernicus Marine Environment Monitoring Service as a platform to map marine ecosystem services: a Lithuanian case study

2020 ◽  
Author(s):  
Miguel Inácio ◽  
Marius Kalinauskas ◽  
Katarzyna Miksa ◽  
Eduardo Gomes ◽  
Paulo Pereira
Keyword(s):  
Ecosystem Services ◽  
Marine Environment ◽  
Marine Ecosystem ◽  
Ecological Modelling ◽  
Biogeochemical Model ◽  
Environment Monitoring ◽  
Concentration Data ◽  
Marine Ecosystem Services ◽  
Marine Environment Monitoring ◽  
Monitoring Service

&lt;p&gt;Oceans and seas have always played an important role in supporting human wellbeing through the deliverance marine ecosystem services (MES). Nevertheless, the anthropogenic driven environmental degradation coupled with changes in socio-economic dynamics affected the capacity to deliver MES in quantity and quality. While it is of the utmost importance and need to map and assess MES, data deficiencies, data standardization, lack of knowledge on the functioning of multiple MES and poor spatial and temporal coverage, hinder its operationalization. The objective of this work was to test the applicability of databases and platforms like the Copernicus Marine Environment Monitoring Service (CMEMS) to be used as a unified point to map and assess MES in Lithuanian marine area. To map different indicators of MES such as wave weight and direction as well as chlorophyll-a concentration, data was extracted from physical and biogeochemical model outputs within CMEMS, covering the whole extent of the Lithuanian Exclusive Economic Zone. From a user perspective, the use of CMEMS to map and assess MES, allows: (1) to overcome complex challenges such as ecological modelling, utilizing outputs directly; (2) to cover spatial and temporal extent in areas where information is scarce and (3) to have vertically resolved data, important for the understanding and mapping of MES. In this perspective, CMEMS plays and will potentially play a higher role towards the operationalization of MES, contributing to better and more informed decision in the sphere of marine environmental management.&lt;/p&gt;&lt;p&gt;This work has received funding from the European Social Fund project Lithuanian National Ecosystem Services Assessment and Mapping (LINESAM) No. 09.3.3-LMTK-712-01-0104 under grant agreement with the Research Council of Lithuania (LMTLT).&lt;/p&gt;

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