scholarly journals Ocean Monitoring and Forecasting Core Services, the European MyOcean Example

2010 ◽  
Author(s):  
Pierre Bahurel ◽  
Frédéric Adragna ◽  
Mike J. Bell ◽  
Fabienne Jacq ◽  
Johnny A. Johannessen ◽  
...  
Keyword(s):  
Monitoring And Forecasting ◽  
Ocean Monitoring

scholarly journals Research priorities in support of ocean monitoring and forecasting at the Met Office

Ocean Science ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 217-231 ◽  
Author(s):  
J. R. Siddorn ◽  
S. A. Good ◽  
C. M. Harris ◽  
H. W. Lewis ◽  
J. Maksymczuk ◽  
...  
Keyword(s):  
Weather Prediction ◽  
Research Priorities ◽  
Severe Weather ◽  
The Body ◽  
Systematic Evaluation ◽  
Ocean Reanalysis ◽  
Monitoring And Forecasting ◽  
Diverse Community ◽  
Commercial Organizations ◽  
Ocean Monitoring

Abstract. Ocean monitoring and forecasting services are increasingly being used by a diverse community of public and commercial organizations. The Met Office, as the body responsible for severe weather prediction, has for many years been involved in providing forecasts of aspects of the marine environment. This paper describes how these have evolved to include a range of wave, surge, and ocean reanalysis, analysis, and forecasts services. To support these services, and to ensure they evolve to meet the demands of users and are based on the best available science, a number of scientific challenges need to be addressed. The paper goes on to summarize the key challenges, and highlights some priorities for the ocean monitoring and forecasting research group at the Met Office. There is a need to both develop the underpinning science of the modelling and data assimilation systems and to maximize the benefits from observations and other inputs to the systems. Systematic evaluation underpins this science, and also needs to be the focus of research.

scholarly journals Recent updates on the Copernicus Marine Service global ocean monitoring and forecasting real-time 1/12° high resolution system

2018 ◽  
Author(s):  
Jean-Michel Lellouche ◽  
Eric Greiner ◽  
Olivier Le Galloudec ◽  
Gilles Garric ◽  
Charly Regnier ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Forecast Error ◽  
Fine Tuning ◽  
Global Ocean ◽  
Altimeter Data ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Ocean Monitoring ◽  
The Impact

Abstract. Since October 19, 2016, and in the framework of Copernicus Marine Environment Monitoring Service (CMEMS), Mercator Ocean delivers in real-time daily services (weekly analyses and daily 10-day forecasts) with a new global 1/12° high resolution (eddy-resolving) monitoring and forecasting system. The model component is the NEMO platform driven at the surface by the IFS ECMWF atmospheric analyses and forecasts. Observations are assimilated by means of a reduced-order Kalman filter with a 3D multivariate modal decomposition of the forecast error. Along track altimeter data, satellite sea surface temperature, sea ice concentration and in situ temperature and salinity vertical profiles are jointly assimilated to estimate the initial conditions for numerical ocean forecasting. A 3D-VAR scheme provides a correction for the slowly-evolving large-scale biases in temperature and salinity. This paper describes the recent updates applied to the system and discusses the importance of fine tuning of an ocean monitoring and forecasting system. It details more particularly the impact of the initialization, the correction of precipitation, the assimilation of climatological temperature and salinity in the deep ocean, the construction of the forecast error covariance and the adaptive tuning of observations error on increasing the realism of the analysis and forecasts. The scientific assessment of the ocean estimations are illustrated with diagnostics over some particular years, assorted with time series over the time period 2007–2016. The overall impact of the integration of all updates on the products quality is also discussed, highlighting a gain in performance and reliability of the current global monitoring and forecasting system compared to its previous version.

scholarly journals Recent updates to the Copernicus Marine Service global ocean monitoring and forecasting real-time 1∕12° high-resolution system

Ocean Science ◽  
2018 ◽  
Vol 14 (5) ◽  
pp. 1093-1126 ◽  
Author(s):  
Jean-Michel Lellouche ◽  
Eric Greiner ◽  
Olivier Le Galloudec ◽  
Gilles Garric ◽  
Charly Regnier ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Fine Tuning ◽  
Global Ocean ◽  
Altimeter Data ◽  
Observation Error ◽  
Background Error ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Ocean Monitoring

Abstract. Since 19 October 2016, and in the framework of Copernicus Marine Environment Monitoring Service (CMEMS), Mercator Ocean has delivered real-time daily services (weekly analyses and daily 10-day forecasts) with a new global 1∕12∘ high-resolution (eddy-resolving) monitoring and forecasting system. The model component is the NEMO platform driven at the surface by the IFS ECMWF atmospheric analyses and forecasts. Observations are assimilated by means of a reduced-order Kalman filter with a three-dimensional multivariate modal decomposition of the background error. Along-track altimeter data, satellite sea surface temperature, sea ice concentration, and in situ temperature and salinity vertical profiles are jointly assimilated to estimate the initial conditions for numerical ocean forecasting. A 3D-VAR scheme provides a correction for the slowly evolving large-scale biases in temperature and salinity. This paper describes the recent updates applied to the system and discusses the importance of fine tuning an ocean monitoring and forecasting system. It details more particularly the impact of the initialization, the correction of precipitation, the assimilation of climatological temperature and salinity in the deep ocean, the construction of the background error covariance and the adaptive tuning of observation error on increasing the realism of the analysis and forecasts. The scientific assessment of the ocean estimations are illustrated with diagnostics over some particular years, assorted with time series over the time period 2007–2016. The overall impact of the integration of all updates on the product quality is also discussed, highlighting a gain in performance and reliability of the current global monitoring and forecasting system compared to its previous version.

Progresses in the CMEMS BS-MFC for improving forecasting capabilities and monitoring the Black Sea region through high quality modelling systems

2020 ◽  
Author(s):  
Stefania Angela Ciliberti ◽  
Atanas Palazov ◽  
Marilaure Gregoire ◽  
Joanna Staneva ◽  
Elisaveta Peneva ◽  
...  
Keyword(s):  
Black Sea ◽  
Danube River ◽  
The Black Sea ◽  
Black Sea Region ◽  
Oxygen Penetration ◽  
Current State ◽  
Monitoring And Forecasting ◽  
Data Ingestion ◽  
Ocean Monitoring

<p>The BS-MFC (Black Sea Monitoring and Forecasting Centre) delivers near real time and multi-year products for the Black Sea region with the scope to describe its physical, biogeochemical and wave conditions in the frame of CMEMS. This is done through 3 Production Units – Physics, Biogeochemistry and Waves – that implement state-of-the-art and accurate modelling approaches for forecasting and monitoring purposes. In 2019, the BS-MFC offer has been updated to include i) updated versions of the BS-PHY and BS-WAV NRT products and new BS-BIO product, ii) update of the MY products timeseries up to Dec 2018 and iii) inclusion of Ocean Monitoring Indicators (OMI).</p><p>Considering NRT systems, the systems are performing assimilation of in-situ and satellite products provided by CMEMS TACs with PHY and BIO products centered to 12:00Z and WAV product instantaneous fields covering 10-days forecast. BS-BIO offers new product since Jul 2019, including CHL, PHYC, O2, NO3, PO4, Primary Production and carbonate system components (pH, DIC, Alkalinity, air-sea flux of CO2). To support ocean monitoring purposes, describing the current state of the Black Sea physical dynamics, environmental and extreme events, the BS-MFC implements a set of OMI: a) vertically integrated oxygen content, b) oxygen penetration density and depth, c) sea surface temperature and salinity anomalies, d) significant wave height extremes.</p><p>To improve forecasting capabilities and prepare the next generation of BS products, the BS-MFC is working on several scientific topics, the most challenged are the increased resolution in vertical of the physical system, the problem of the Bosporus Strait as boundary condition, improved data assimilation capabilities, coupling strategies among PHY, BIO and WAV and improvement of upstream data ingestion in NRT and MY systems, including the usage of hourly forcing in WAV production system and forecast data of the Danube River discharge and nutrients in the PHY and BIO systems. Furthermore, the BS-MFC is working on enforce operational capacities and define pre-operational evaluation to estimate accuracy of operational and new products.</p><p> </p>

OurOcean ¿ An Integrated Solution to Ocean Monitoring and Forecasting

OCEANS 2006 ◽  
2006 ◽  
Author(s):  
Peggy Li ◽  
Yi Chao ◽  
Quoc Vu ◽  
Zhijin Li ◽  
John Farrara ◽  
...  
Keyword(s):  
Monitoring And Forecasting ◽  
Ocean Monitoring

scholarly journals Research priorities in support of ocean monitoring and forecasting at the Met Office

2015 ◽  
Vol 12 (6) ◽  
pp. 2617-2653
Author(s):  
J. R. Siddorn ◽  
S. A. Good ◽  
C. M. Harris ◽  
H. W. Lewis ◽  
J. Maksymczuk ◽  
...  
Keyword(s):  
Research Group ◽  
Weather Prediction ◽  
Research Priorities ◽  
Severe Weather ◽  
The Body ◽  
Systematic Evaluation ◽  
Ocean Reanalysis ◽  
Monitoring And Forecasting ◽  
Diverse Community ◽  
Ocean Monitoring

Abstract. Ocean monitoring and forecasting services are increasingly being used by a diverse community of public and commercial organisations. The Met Office, as the body responsible for severe weather prediction, has for many years been involved in providing forecasts of aspects of the marine environment. This paper describes how these have evolved to include a range of wave, surge and ocean reanalysis, analysis and forecasts services. To support these services, and to ensure they evolve to meet the demands of users and are based on the best available science, a number of scientific challenges need to be addressed. The paper goes on to summarise the key challenges, and highlights some priorities for the ocean monitoring and forecasting research group at the Met Office. There is a need to both develop the underpinning science of the modelling and data assimilation systems and to maximise the benefits from observations and other inputs to the systems. Systematic evaluation underpins this science, and also needs to be the focus of research.

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