From 2021, European atmospheric sounds missions will deliver each day several terabytes of raw datacubes at high spatial/temporal/spectral resolutions. This represents an unprecedented amount of high-quality atmospheric data. A key challenge is to provide scientists and users with approaches and capacities to comprehensively deal with all available information.
PHIDIAS (Prototype of HPC/Data Infrastructure for On-demand Services) aims to become a reference point for the Earth science community enabling them to discover, manage and process spatial and environmental data, through the development of a set of High-Performance Computing (HPC) based services and tools exploiting large satellite datasets. The project will develop a consolidated and shared HPC and Data service by building on pre-existing and emerging infrastructure in order to create a federation of "user to infrastructure" services.
One of the three are testing cases PHIDIAS has set up is the "Intelligent screening of a large amount of satellite data for detection and identification of anomalous atmospheric composition events". This use case will demonstrate new approaches for detecting, filtering and qualifying scenes and events of interest among the incoming flux of satellite atmospheric data, in view of their dedicated exploitation.
On 13 October 2020 at 15:00 CEST, PHIDIAS will host a webinar focusing on this use case entitles "Steps forward in detection and identification of anomalous atmospheric events" showcasing how PHIDIAS is going to improve the usage of HPC and high performance data management services for the development of intelligent screening approaches for the exploitation of large amount of satellite atmospheric data in an operational context and presenting the most recent development of the PHIDIAS use cases. The webinar boasts the collaboration with the ESCAPE project (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures), which aims to establish a single collaborative cluster of next generation European Strategy Forum on Research Infrastructures (ESFRI) facilities in the area of astronomy- and accelerator-based particle physics in order to implement functional link between the concerned ESFRI projects and the European Open Science Cloud (EOSC).