EUBrazil Cloud Connect is a project funded under the second Eu-Brazil coordinated call under the topic Cloud computing for Science. It aims is to create an intercontinental federated e-infrastructure for scientific usage. This e-infrastructure joins resources from different frameworks, like private clouds, supercomputing and opportunistic desktop resources to offer the community high level scientific gateways and programming models. EUBrazil Cloud Connect applications involve complex workflows and access to huge datasets and leverages a set of components for the use of supercomputing, private cloud and cloud opportunistic resources. Cloud Connect exposes these resources through programming frameworks and scientific gateways, easing the adaptation and deployment of the applications that use data and computing resources in both sides of the Atlantic.
The main objective of EUBrazil Cloud Connect is to drive cooperation between Europe and Brazil by strengthening the scientific and knowledge-based society as key to sustainable and equitable socioeconomic development. The core of this collaboration is defined through the scientific uses cases selected, which require the collaboration between Brazil and Europe in the provision of data, services and expertise.
EUBrazil Cloud Connect develops 3 Use Cases. One in particular deals with climate change and biodiversity scientific research. The co-operation from Brazilian and European centres has been key for the use case implementation, as expertise in biodiversity modelling (e.g. openModeller) and data (e.g. speciesLink) comes from the Brazilian side (CRIA), while the expertise on climate change data analysis, together with the access to the climate change data and additional remote sensing data sources, comes from both the European (CMCC) and Brazilian (UFCG) side.
The use case main objective is to advance the knowledge of climate change through the impact on biodiversity by the integration of data sources (satellite images, high-resolution LiDAR, hyperspectral images and biodiversity occurrence maps), and models (physic-chemical properties of vegetation areas, energy fluxes and species distribution). It implements a series of pipelines/workflows applications for the analysis of biodiversity impacts of climate change (CMCC, UvA, CRIA, UFCG). Workflows combine the analysis of data acquired with different technologies, such as LiDAR, hyper-spectral imagery, satellite images and ground level sensors, with meteorological and biodiversity data to study the impact of climate change in regions with high interest for biodiversity conservation, such as the Brazilian Amazon and the semi-arid & Caatinga regions in Brazil. It includes 3D information concerning the structure of the vegetation, such as the biomass distribution within the forest canopy and forest gap density patterns, which should improve biodiversity indicators such as the energy balance and evapotranspiration. A scientific gateway (BioClimate) integrating tools, data, workflows and services to understand the interaction between biodiversity and climate change has been also implemented as a scientific tool for end-users.
The demo will give a complete overview of the Use Case 3 by showing how the different experiments and data sources have been seamlessly integrated into the BioClimate Scientific Gateway. Both batch and interactive experiments will be demonstrated on different data sources (by inferring a set of climate and biodiversity indicators) jointly with additional features like the clearinghouse one.
Demo Authors
G. Aloisio (CMCC), N. Anders (Uva), I. Blanquer (UPV), F. V. Brasileiro (UFCG), V. P. Canhos (CRIA), J. Cunha (UFCG), D. Elia (CMCC), G. Farias (UFCG), S. Fiore (CMCC), C. O. Galvao (UFCG), W. Los (UvA), A. Nuzzo (CMCC), I. A. A. Rufino (UFCG), A. C. Seijmonsbergen (UvA), M. de Sousa-Baena (CRIA)