scholarly journals Testing marine data assimilation in the northeastern Baltic using satellite SST products from the Copernicus Marine Environment Monitoring Service

2018 ◽  
Vol 67 (3) ◽  
pp. 217 ◽  
Author(s):  
M Zujev ◽  
J Elken
Keyword(s):  
Data Assimilation ◽  
Marine Environment ◽  
Environment Monitoring ◽  
Satellite Sst ◽  
Marine Data ◽  
Marine Environment Monitoring ◽  
Monitoring Service

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.

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 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;

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 ◽  
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 pre-operational tests and subsequently for one 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 is correctly entering into the Mediterranean Sea through the Gibraltar Strait. The Mediterranean model has a grid spacing of 1/24°. It is driven with 6-hourly analysis and 5-days forecast 10 m ECMWF winds. It accounts for shoaling and refraction due to bathymetry and surface currents which are provided in off-line 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 sub-regions. 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.

scholarly journals The Copernicus Marine Environment Monitoring Service Ocean State Report

2016 ◽  
Vol 9 (sup2) ◽  
pp. s235-s320 ◽  
Author(s):  
Karina von Schuckmann ◽  
Pierre-Yves Le Traon ◽  
Enrique Alvarez-Fanjul ◽  
Lars Axell ◽  
Magdalena Balmaseda ◽  
...  
Keyword(s):  
Marine Environment ◽  
Environment Monitoring ◽  
Marine Environment Monitoring ◽  
Monitoring Service
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