Mersea: Development of a European Ocean Monitoring and Forecasting System

2006 ◽  
pp. 449-453
Author(s):  
Yves Desaubies
2018 ◽  
Author(s):  
Jean-Michel Lellouche ◽  
Eric Greiner ◽  
Olivier Le Galloudec ◽  
Gilles Garric ◽  
Charly Regnier ◽  
...  

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.


Ocean Science ◽  
2018 ◽  
Vol 14 (5) ◽  
pp. 1093-1126 ◽  
Author(s):  
Jean-Michel Lellouche ◽  
Eric Greiner ◽  
Olivier Le Galloudec ◽  
Gilles Garric ◽  
Charly Regnier ◽  
...  

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.


2000 ◽  
Vol 1 (1) ◽  
pp. 71 ◽  
Author(s):  
T.H. SOUKISSIAN ◽  
G. CHRONIS

The scope of this work is twofold: i) to discuss and analyze some principles, issues and problems related to the development and advancement of Operational Oceanography in Greece and ii) to present a real-time monitoring and forecasting system for the Aegean Sea, which is currently under implementation. Operational Oceanography in Greece has become a necessity today, since it can provide aid to find solutions on problems related to societal, economic, environmental and scientific issues. Most of the Greek coastal regions are under pressure, susceptible to damages due to the increasing tendency of the population to move from the inland to the coast, marine environmental pollution, competitive development of the coastal market sector, etc. Moreover, the complex geomorphology of the coastal areas and the interdependence between natural processes and human activities causes significant alterations in this delicate environment. A rational treatment of these problems can be based on integrated coastal zone management (ICZM). An absolutely necessary means for establishing ICZM is the operation of marine moni- toring systems. Such a system ("POSEIDON system") is under implementation by the National Centre for Marine Research. POSEIDON is a comprehensive marine monitoring and forecasting system, that aims to improve environmental surveillance and facilitate sea transport, rescue and safety of life at sea, fishing and aquaculture, protection of the marine ecosystem, etc. POSEIDON is expected to enhance considerably the capabilities to manage, protect and develop the marine resources of the Greek Seas and to promote Greek Operational Oceanography.


Author(s):  
Pierre Bahurel ◽  
Frédéric Adragna ◽  
Mike J. Bell ◽  
Fabienne Jacq ◽  
Johnny A. Johannessen ◽  
...  

Author(s):  
Cristina Serban ◽  
Carmen Maftei

The most advanced and applicable approach today in the development of environmental monitoring programs is the integration of remote sensing and Grid computing services into a monitoring and forecasting system that helps the analyst to understand the problem without being a remote sensing or computer expert. In this chapter we present the main features of Grid computing and how we can use it in conjunction with remote sensing to develop several applications that will estimate ET (Evapotranspiration), LST (Land Surface Temperature) and some vegetation indices (VI's) directly from a satellite image, these parameters playing an essential role in all activities related to water resources management.


2008 ◽  
Vol 89 (8) ◽  
pp. 1147-1164 ◽  
Author(s):  
A. Hollingsworth ◽  
R. J. Engelen ◽  
C. Textor ◽  
A. Benedetti ◽  
O. Boucher ◽  
...  

2012 ◽  
Vol 201-202 ◽  
pp. 586-589
Author(s):  
Rui Lian Hou

Underlying on the technologies of internet, network database and GIS, this paper presents the total solution of the development of the real-time monitoring and forecasting system model of urban air quality, which fulfils the requirements to low energy consumption and quick response and provides reference for similar project research.The paper systematically describes the system target,background of the development,running environment choice of the software, process of the development etc.Then it analyses function modules of the system.At last it gives the structures and implementation methods of the system’s database and the system security solution.This system not only can generate the state analysis reports and the early warning, but also can visualize the data analysing of the air quality by GIS.


Sign in / Sign up

Export Citation Format

Share Document