9 research outputs found

    European Multidisciplinary and Water-Column Observatory - European Research Infrastructure Consortium (EMSO ERIC): Challenges and opportunities for Strategic European Marine Sciences

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    EMSO (European Multidisciplinary Seafloor and water-column Observatory, www.emso-eu.org) is a large-scale European Research Infrastructure I. It is a distributed infrastructure of strategically placed, deep-sea seafloor and water column observatory nodes with the essential scientific objective of real-time, long-term observation of environmental processes related to the interaction between the geosphere, biosphere, and hydrosphere. The geographic locations of the EMSO observatory nodes represent key sites in European waters, from the Arctic, through the Atlantic and Mediterranean, to the Black Sea (Figure 1), as defined through previous studies performed in FP6 and FP7 EC projects such as ESONET-CA, ESONET-NoE, EMSO-PP (Person et al., 2015).Peer ReviewedPostprint (published version

    The module for ocean observatory data analysis of EMSO

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    The European Multidisciplinary Seafloor and water-column Observatory (EMSO) is a large-scale, distributed, Marine Research Infrastructure (RI). EMSO consists of ocean observation systems for long-term, high-resolution, (near) real-time monitoring of environmental processes including natural hazards, climate change, and marine ecosystems. EMSO observatory nodes are at key sites around Europe, from the Arctic to the Atlantic, through the Mediterranean, to the Black Sea. To analyse the EMSO data, we develop the Module for Ocean Observatory Data Analysis (MOODA). MOODA is a software with a Graphical User Interface (GUI) developed for scientists. The software helps to facilitate data access (mainly off-line) for further analysis by the scientific community. Some of the features the MOODA offers are: (1) Direct data access with complex query capabilities; (2) Data filtering methods based on metadata information; (3) Complex visualization tools; (4) Summary reports of the validated data generated from a specific query, including event annotations; (5) Specific data analysis tools for different scientific disciplines; (6) The system will be designed to be open, adaptable and scalable allowing future contributions from researchers and developers from all the disciplines associated to the EMSO observatories. The code is written in Python, and it is available on GitHub. MOODA aims to make informative plots as a central part of exploring and understanding data.Postprint (published version

    Data acquisition system development for EGIM on EMSODEV EU Project

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    The EMSODEV1 (European Multidisciplinary Seafloor and water-- column Observatory DEVelopment) is a UE project whose general objective is to set up the full implementation and operation of the EMSO distributed Research Infrastructure (RI), through the development, testing and deployment of an EMSO Generic Instrument Module (EGIM). The EGIM module will measure various ocean parameters in a long-term consistent, accurate and comparable manner. These measurements are critical to respond accurately to the social and scientific challenges such as climate change, changes in marine ecosystems, and marine hazards. Here we present the current status of the EGIM data acquisition system development.Peer ReviewedPostprint (published version

    The module for ocean observatory data analysis of EMSO

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    The European Multidisciplinary Seafloor and water-column Observatory (EMSO) is a large-scale, distributed, Marine Research Infrastructure (RI). EMSO consists of ocean observation systems for long-term, high-resolution, (near) real-time monitoring of environmental processes including natural hazards, climate change, and marine ecosystems. EMSO observatory nodes are at key sites around Europe, from the Arctic to the Atlantic, through the Mediterranean, to the Black Sea. To analyse the EMSO data, we develop the Module for Ocean Observatory Data Analysis (MOODA). MOODA is a software with a Graphical User Interface (GUI) developed for scientists. The software helps to facilitate data access (mainly off-line) for further analysis by the scientific community. Some of the features the MOODA offers are: (1) Direct data access with complex query capabilities; (2) Data filtering methods based on metadata information; (3) Complex visualization tools; (4) Summary reports of the validated data generated from a specific query, including event annotations; (5) Specific data analysis tools for different scientific disciplines; (6) The system will be designed to be open, adaptable and scalable allowing future contributions from researchers and developers from all the disciplines associated to the EMSO observatories. The code is written in Python, and it is available on GitHub. MOODA aims to make informative plots as a central part of exploring and understanding data

    The EMSO-ERIC Pan-European Consortium: data benefits and lessons learned as the legal entity forms

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    The European Multidisciplinary Seafloor and water-column Observatory (EMSO) European Research Infrastructure Consortium (ERIC) provides power, communications, sensors, and data infrastructure for continuous, high-resolution, (near-)real-time, interactive ocean observations across a multidisciplinary and interdisciplinary range of research areas including biology, geology, chemistry, physics, engineering, and computer science, from polar to subtropical environments, through the water column down to the abyss. Eleven deep-sea and four shallow nodes span from the Arctic through the Atlantic and Mediterranean, to the Black Sea. Coordination among the consortium nodes is being strengthened through the EMSOdev project (H2020), which will produce the EMSO Generic Instrument Module (EGIM). Early installations are now being upgraded, for example, at the Ligurian, Ionian, Azores, and Porcupine Abyssal Plain (PAP) nodes. Significant findings have been flowing in over the years; for example, high-frequency surface and subsurface water-column measurements of the PAP node show an increase in seawater pCO2 (from 339 µatm in 2003 to 353 µatm in 2011) with little variability in the mean air-sea CO2 flux. In the Central Eastern Atlantic, the Oceanic Platform of the Canary Islands open-ocean canary node (aka ESTOC station) has a long-standing time series on water column physical, biogeochemical, and acidification processes that have contributed to the assessment efforts of the Intergovernmental Panel on Climate Change (IPCC). EMSO not only brings together countries and disciplines but also allows the pooling of resources and coordination to assemble harmonized data into a comprehensive regional ocean picture, which will then be made available to researchers and stakeholders worldwide on an open and interoperable access basis.Peer ReviewedPostprint (published version

    Acquisition system for the “EMSO Generic Instrument Module” (EGIM) and analysis of the first data obtained during its deployement at OBSEA (Spain)

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    The EMSODEV project (EMSO implementation and operation: DEVelopment of instrument module) is an Horizon-2020 UE project whose overall objective is the operation of eleven sea¿oor observatories and four test sites. These infrastructures are distributed throughout European seas, from the Arctic across the Atlantic and the Mediterranean to the Black Sea, and are managed by the European consortium EMSO-ERIC (European Research Infrastructure Consortium) with the participation of 8 European countries and other associated partners. Recently, we have implemented a Generic Sensor Module (EGIM) within the EMSO-ERIC distributed marine researchinfrastructure.EGIMisabletooperateonanyEMSOobservatorynode,mooringline,seabedstation,cabled or non-cabled and surface buoy. The main role of EGIM is to measure homogeneously a set of core variables using the same hardware, sensor references, quali¿cation methods, calibration methods, data format and access, maintenance procedures in several European ocean locations. The EGIM module acquires a wide range of ocean parameters in a long-term consistent, accurate and comparable manner from disciplines such as biology, geology, chemistry, physics, engineering, and computer science, from polar to subtropical environments, through the water column down to the deep sea. Our work includes developing standard-compliantgenericsoftwareforSensorWebEnablement(SWE)onEGIMandtoperformthe¿rstonshore and offshore test bench, to support the sensors data acquisition on a new interoperable EGIM system. EGIM in its turn is linked to an acquisition drives processes, a centralized Sensor Observation Service (SOS) server and a laboratory monitor system (LabMonitor) that records events and alarms during acquisition. The measurements recorded along EMSO NODES are essential to accurately respond to the social and scienti¿c challenges such as climate change, changes in marine ecosystems, and marine hazards. This presentation shows the ¿rst EGIM deployment and the SWE infrastructure, developed to manage the data acquisition from the underwater sensors and their insertion to the SOS interface

    Acquisition system for the “EMSO Generic Instrument Module” (EGIM) and analysis of the first data obtained during its deployement at OBSEA (Spain)

    No full text
    The EMSODEV project (EMSO implementation and operation: DEVelopment of instrument module) is an Horizon-2020 UE project whose overall objective is the operation of eleven sea¿oor observatories and four test sites. These infrastructures are distributed throughout European seas, from the Arctic across the Atlantic and the Mediterranean to the Black Sea, and are managed by the European consortium EMSO-ERIC (European Research Infrastructure Consortium) with the participation of 8 European countries and other associated partners. Recently, we have implemented a Generic Sensor Module (EGIM) within the EMSO-ERIC distributed marine researchinfrastructure.EGIMisabletooperateonanyEMSOobservatorynode,mooringline,seabedstation,cabled or non-cabled and surface buoy. The main role of EGIM is to measure homogeneously a set of core variables using the same hardware, sensor references, quali¿cation methods, calibration methods, data format and access, maintenance procedures in several European ocean locations. The EGIM module acquires a wide range of ocean parameters in a long-term consistent, accurate and comparable manner from disciplines such as biology, geology, chemistry, physics, engineering, and computer science, from polar to subtropical environments, through the water column down to the deep sea. Our work includes developing standard-compliantgenericsoftwareforSensorWebEnablement(SWE)onEGIMandtoperformthe¿rstonshore and offshore test bench, to support the sensors data acquisition on a new interoperable EGIM system. EGIM in its turn is linked to an acquisition drives processes, a centralized Sensor Observation Service (SOS) server and a laboratory monitor system (LabMonitor) that records events and alarms during acquisition. The measurements recorded along EMSO NODES are essential to accurately respond to the social and scienti¿c challenges such as climate change, changes in marine ecosystems, and marine hazards. This presentation shows the ¿rst EGIM deployment and the SWE infrastructure, developed to manage the data acquisition from the underwater sensors and their insertion to the SOS interface.Postprint (published version

    Acquisition system for the “EMSO Generic Instrument Module” (EGIM) and analysis of the first data obtained during its deployement at OBSEA (Spain)

    No full text
    The EMSODEV project (EMSO implementation and operation: DEVelopment of instrument module) is an Horizon-2020 UE project whose overall objective is the operation of eleven sea¿oor observatories and four test sites. These infrastructures are distributed throughout European seas, from the Arctic across the Atlantic and the Mediterranean to the Black Sea, and are managed by the European consortium EMSO-ERIC (European Research Infrastructure Consortium) with the participation of 8 European countries and other associated partners. Recently, we have implemented a Generic Sensor Module (EGIM) within the EMSO-ERIC distributed marine researchinfrastructure.EGIMisabletooperateonanyEMSOobservatorynode,mooringline,seabedstation,cabled or non-cabled and surface buoy. The main role of EGIM is to measure homogeneously a set of core variables using the same hardware, sensor references, quali¿cation methods, calibration methods, data format and access, maintenance procedures in several European ocean locations. The EGIM module acquires a wide range of ocean parameters in a long-term consistent, accurate and comparable manner from disciplines such as biology, geology, chemistry, physics, engineering, and computer science, from polar to subtropical environments, through the water column down to the deep sea. Our work includes developing standard-compliantgenericsoftwareforSensorWebEnablement(SWE)onEGIMandtoperformthe¿rstonshore and offshore test bench, to support the sensors data acquisition on a new interoperable EGIM system. EGIM in its turn is linked to an acquisition drives processes, a centralized Sensor Observation Service (SOS) server and a laboratory monitor system (LabMonitor) that records events and alarms during acquisition. The measurements recorded along EMSO NODES are essential to accurately respond to the social and scienti¿c challenges such as climate change, changes in marine ecosystems, and marine hazards. This presentation shows the ¿rst EGIM deployment and the SWE infrastructure, developed to manage the data acquisition from the underwater sensors and their insertion to the SOS interface

    Data acquisition system development for EGIM on EMSODEV EU Project

    No full text
    The EMSODEV1 (European Multidisciplinary Seafloor and water-- column Observatory DEVelopment) is a UE project whose general objective is to set up the full implementation and operation of the EMSO distributed Research Infrastructure (RI), through the development, testing and deployment of an EMSO Generic Instrument Module (EGIM). The EGIM module will measure various ocean parameters in a long-term consistent, accurate and comparable manner. These measurements are critical to respond accurately to the social and scientific challenges such as climate change, changes in marine ecosystems, and marine hazards. Here we present the current status of the EGIM data acquisition system development.Peer Reviewe
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