1,721,066 research outputs found
Nadia Pinardi: "Els models predictius poden ajudar a reduir l'impacte del canvi climàtic a la costa"
No full textNadia Pinardi, Oceanògrafa i professora de la universitat de Bolony
Nadia Pinardi: "Els models predictius poden ajudar a reduir l'impacte del canvi climàtic a la costa"
No full textNadia Pinardi, Oceanògrafa i professora de la universitat de Bolony
ADRIAclim
No full text1/ to enhance CC adaptation capacity in coastal areas developing homogeneous and comparable data
2/ to improve knowledge, capacity and cooperation on climate change observing and modeling systems
3/ to develop advanced information system, tools and indicators for optimal CC adaptation plannin
AtlantOS
No full textThe vision of AtlantOS was to improve and innovate Atlantic observing by using the Framework of Ocean Observing to obtain an international, more sustainable, more efficient, more integrated, and fit-for-purpose system. Hence, the AtlantOS initiative has a long-lasting and sustainable contribution to the societal, economic and scientific benefit arising from this integrated approach. This was achieved by improving the value for money, extent, completeness, quality and ease of access to Atlantic Ocean data required by industries, product supplying agencies, scientist and citizens
MARISA Maritime Integrated Surveillance Awareness
No full textCombating irregular migration, human smuggling, terrorism at sea, piracy, as well as arms and drug trafficking has become a high priority on Europe’s security agenda. Securing the sea requires a day-to-day collaboration activities among European actors of maritime surveillance, Member States’ administrations and European agencies principally, and a significant number of initiatives are being taken at EU level to address this challenge. The large amount of ‘raw data’ available today are not usable by systems supporting maritime security since they are not accessible at the same time and, often, they are not interoperable. Therefore, the overarching goal of MARISA project is to provide the security communities operating at sea with a data fusion toolkit, which makes available a suite of methods, techniques and modules to correlate and fuse various heterogeneous and homogeneous data and information from different sources, including Internet and social networks, with the aim to improve information exchange, situational awareness, decision-making and reaction capabilities. The proposed solution will provide mechanisms to get insights from any big data source, perform analysis of a variety of data based on geographical and spatial representation, use techniques to search for typical and new patterns that identify possible connections between events, explore predictive analysis models to represent the effect of relationships of observed object at sea. Enterprise and ad-hoc reporting and services, within the CISE context, will be provided to support users and operational systems in their daily activities, as well as presentation tools for navigating and visualizing results of data fusion processing. The involvement of 5 practitioners as full partners will allow on the one hand to align innovation to user needs, on the other hand to validate the toolkit through a number of trials addressing cross country/cross domain applications
EUROSEA
No full textAlthough the Ocean is a fundamental part of the global system providing a wealth of resources, there are fundamental gaps in ocean observing and forecasting systems, limiting our capacity in Europe to sustainably manage the ocean and its resources. Ocean observing is “big science” and cannot be solved by individual nations; it is necessary to ensure high-level integration for coordinated observations of the ocean that can be sustained in the long term. EuroSea brings together key European actors of ocean observation and forecasting with key end users of ocean observations, responding to the Future of the Seas and Oceans Flagship Initiative. Our vision is a truly interdisciplinary ocean observing system that delivers the essential ocean information needed for the wellbeing, blue growth and sustainable management of the ocean. EuroSea will strengthen the European and Global Ocean Observing System (EOOS and GOOS) and support its partners. EuroSea will increase the technology readiness levels (TRL) of critical components of ocean observations systems and tools, and in particular the TRL of the integrated ocean observing system. EuroSea will improve: European and international coordination; design of the observing system adapted to European needs; in situ observing networks; data delivery; integration of remote and in-situ data; and forecasting capability. EuroSea will work towards integrating individual observing elements to an integrated observing system, and will connect end-users with the operators of the observing system and information providers. EuroSea will demonstrate the utility of the European Ocean Observing System through three demonstration activities focused on operational services, ocean health and climate, where a dialogue between actors in the ocean observing system will guide the development of the services, including market replication and innovation supporting the development of the blue economy
SeaDataCloud
No full textSeaDataCloud project (2016-2021), grant agreement 730960, EU H2020 programme, aims at considerably advancing SeaDataNet Services and increasing their usage, adopting cloud and High Performance Computing technology for better performance
Journal of Geophysical Research: Oceans
No full textJGR: Oceans publishes original research articles on the physics, chemistry, biology and geology to the oceans and their interaction with other components of the Earth system
SeaDataCloud Temperature and Salinity Climatology for the Global Ocean (version 1)
No full textThe SDC_GLO_CLIM_TS_V1 product contains two different monthly climatology for temperature and salinity, SDC_GLO_CLIM_TS_V1_1 and SDC_GLO_CLIM_TS_V1_2 from the World Ocean Data (WOD) database. Only basic quality control flags from the WOD are used. The first climatology, V1_1, considers temperature and salinity profiles from Conductivity Depth Temperature (CTD), Ocean station data (OSD) and Moored buoy data (MRB) along with Profiling Floats (PFL) from 1900 to 2017. The second climatology, V1_2, utilizes only PFL data from 2003 to 2017. V1_1 considers depth layers from surface to 6000 m while V1_2 from 0 to 2000 m. The gridded fields are computed using DIVAnd (Data Interpolating Variational Analysis) version 2.3.1. Basic statistics for differences between the WOD gridded fields, socalled WOA, and the SDC_GLO analyses are computed and the two estimates are found to be consistent
A relocatable ocean modelling platform for downscaling to shelf-coastal areas to support disaster risk reduction
Full text linkHigh-impact ocean weather events and climate extremes can have devastating effects
on coastal zones and small islands. Marine Disaster Risk Reduction (DRR) is a
systematic approach to such events, through which the risk of disaster can be identified,
assessed and reduced. This can be done by improving ocean and atmosphere
prediction models, data assimilation for better initial conditions and developing an
efficient and sustainable impact forecasting methodology for Early Warnings Systems.
A common user request during disaster remediation actions is for high-resolution
information, which can be derived from easily deployable numerical models nested into
operational larger-scale ocean models. The Structured and Unstructured Relocatable
Ocean Model for Forecasting (SURF) enables users to rapidly deploy a nested high-resolution
numerical model into larger-scale ocean forecasts. Rapidly downscaling the
currents, sea level, temperature, and salinity fields is critical in supporting emergency
responses to extreme events and natural hazards in the world’s oceans. The most
important requirement in a relocatable model is to ensure that the interpolation of
low-resolution ocean model fields (analyses and reanalyses) and atmospheric forcing
is tested for different model domains. The provision of continuous ocean circulation
forecasts through the Copernicus Marine Environment Monitoring Service (CMEMS)
enables this testing. High-resolution SURF ocean circulation forecasts can be provided
to specific application models such as oil spill fate and transport models, search and
rescue trajectory models, and ship routing models requiring knowledge of meteooceanographic
conditions. SURF was used to downscale CMEMS circulation analyses
in four world ocean regions, and the high-resolution currents it can simulate for specific
applications are examined. The SURF downscaled circulation fields show that the
marine current resolutions affect the quality of the application models to be used for
assessing disaster risks, particularly near coastal areas where the coastline geometry
must be resolved through a numerical grid, and high-frequency coastal currents must
be accurately simulated
- …
