In this video from the Barcelona Supercomputer Center, Big Data is presented as a key challenge for researchers studying global climate change.
Changes in the composition of the atmosphere can affect the habitability of the planet by modifying the air quality and altering long-term climate. Research in this area is devoted to the development, implementation and refinement of global and regional state-of-the-art models for short-term air quality forecasting and long-term climate predictions.
Issues related to atmospheric dynamics, natural and anthropogenic emissions, improvement of air quality forecasts, the transport and dispersion of pollutants in complex terrain, urban air quality, aerosol optical properties, aerosol radiative effects and the feedback between meteorology and air pollution shapes the research agenda of the group. Together with the advances in the parallelization of air quality model codes, have allowed such high-resolution simulations.
The high performance capabilities of super-computation allows us to increase the spatial and temporal resolution of atmospheric modelling systems, in order to improve our knowledge on dynamic patterns of air pollutants in complex terrains and interactions and feedbacks of physico-chemical processes occurring in the atmosphere. At BSC, the Earth Sciences Department also maintains daily operational air quality (CALIOPE) and mineral dust forecasts for scientific purposes and to support national initiatives for air quality prevention.
In related news, BSC will host the HPC Advisory Council Spain Conference on Sept. 22, 2015 in Barcelona.