
Metocean models dashboard integrates the marine and weather models, developed by UNIGE-DICCA and CIMA Foundation and provided by Copernicus Marine Service, into a unified interface, enabling joint visualisation and correlation of atmospheric and oceanographic data, facilitating comprehensive environmental assessments. Users can explore simulations of currents, temperatures, salinity, and other oceanographic parameters across specific regions. The dashboard sallow users to visualise model outputs in an interactive and user-friendly manner, providing insights into marine dynamics, weather conditions, and combined meteo-marine scenarios. The dashboard is intended to support both research dissemination and stakeholder consultation, enabling users - including local authorities, environmental managers, and maritime operators - to explore forecasts and simulations relevant to their operational and decision-making activities. The dashboard was developed using Angular 17 and TypeScript and is structured as a Single Page Application (SPA) composed of modular components. The dashboard is displayed using Leaflet.
Earth Science Services > Data Analysis And Visualisation > Geographic Information System (794e3c3b-791f-44de-9ff3-358d8ed74733), Earth Science Services > Data Analysis And Visualisation > Data Visualisation (f4c2557c-e958-4ea4-b7fb-249469f2c0db)
Earth Science Services > Data Analysis And Visualisation > Geographic Information System (794e3c3b-791f-44de-9ff3-358d8ed74733), Earth Science Services > Data Analysis And Visualisation > Data Visualisation (f4c2557c-e958-4ea4-b7fb-249469f2c0db)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
