alexa A Reliable Data Collection And Control System Provided As A Service Within The Global Mercury Observation Network | 18560
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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3rd International Conference on Earth Science & Climate Change

Francesco D?Amore, Bencardino M, Cinnirella S, Sprovieri F and Pirrone N
Workshops: J Earth Sci Clim Change
DOI: 10.4172/2157-7617.S1.014
Abstract
The overall goal of the on-going Global Mercury Observation System (GMOS) project is to develop a coordinated observation network on global scale for mercury, by integrating historical measurements across the globe with newly established GMOS land-based sites in the Northern and Southern Hemisphere, at high altitude and sea level locations. The measurement programme includes tropospheric measurements and oceanographic campaigns to provide a comprehensive assessment of mercury concentrations in ambient air and deposition. To facilitate data sharing with major stakeholders, policymakers and the public, an ad-hoc Cyber(e)-Infrastructure (CI) was developed. The CI was designed to make data acquisition in near-real time, by apply advanced Information and Comunication Technology (ICT) systems. To provide a common framework of analysis as well as a real-time control of instruments, a dedicated GMOS-Data Quality Management system (G-DQM) was developed as a web-based service. G-DQM is able to automatically screen and quality-control the incoming atmospheric mercury raw data allowing near-real time adaptive monitoring procedures. Dealing with site-specific conditions and their related instrumental settings, the G-DQM system may provide suitable feedback to all GMOS site operators. The faithful application of the G-DQM system allows to identify the main frequent issues to be overcome for a reliable atmospheric mercury data collection. The use of this system is of greatest usefulness in preventing the production of poor- quality data and assuring comparability of different datasets recorded within the GMOS network
Biography
Francesco D'Amore is PhD on Computer Science. He has a post-doc position at CNR - Institute of Atmospheric Pollution Research (CNR-IIA), working on e-Science, data harmonization and earth observation. His important works are related to the design and development of innovative Spatial Data Infrastructure, which are oriented to data quality assurance and monitoring.
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