The case study on Climate models intercomparison data analysis relates to the climate change domain and community (European Network for Earth System modelling - ENES). It is directly connected to the Coupled Model Intercomparison Project (CMIP), one of the most internationally relevant and large climate experiment as well as to the Earth System Grid Federation (ESGF) infrastructure in terms of existing eco-system and services. In the last three years, ESGF has been serving the Coupled Model Intercomparison Project Phase 5 (CMIP5) experiment, providing access to 2.5PB of data for the IPCC AR5.
The test case focuses on a subset of this global data archive and proposes a common approach to perform three different scientific data analysis classes: (i) trend analysis, (ii) anomalies analysis, and (iii) climate change signal analysis. The first one is specifically addressed by the demo.
The test case demonstrates the INDIGO capabilities in terms of software framework deployed on heterogeneous infrastructures (e.g., HPC clusters and cloud environments), as well as workflow support to run distributed, parallel data analyses. While general-purpose WfMSs (in this case Kepler WfMS) are exploited in this use case to orchestrate multi-site tasks, the Ophidia framework is adopted at the single-site level to run scientific data analytics workflows consisting of tens/hundreds of data processing, analysis, and visualization operators.
The demonstration highlights: (i) the interoperability with the already existing community-based software ecosystem and infrastructure (IS-ENES/ESFG); (ii) the adoption of workflow management system solutions (both coarse and fine grained) for large-scale climate data analysis (e.g. Ophidia, Kepler); (iii) the exploitation of Cloud technologies/solutions from the INDIGO PaaS offering easy-to-deploy, flexible, isolated and dynamic big data analysis solutions; and (iv) the provisioning of interfaces, toolkits and libraries to develop high-level interfaces/applications integrated in a Science Gateway. With regard to the last point, the demo shows how the results of the experiments will be easily made available to the end user for inspection, download, and visualization. To this end, the user interface will provide specific/advanced support for data analytics and visualization.
The EC-funded project EOSC-hub started on January 1st 2018, with a mission to create the Hub: a central contact point for European researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research.
The INDIGO Summit 2017 is the flagship event of the INDIGO-DataCloud project. The event is organized in conjunction with the EGI Conference 2017, organised by the EGI-Engage project. The two events will be hosted by the Catania section of INFN – the Italian National Institute for Nuclear Physics.
The INDIGO-DataCloud project is delighted to announce ElectricIndigo, the second and final major release of the project.This will be presented and demonstrated through several use cases at the INDIGO Summit 2017, 9-12/5/2017.