A data intensive paradigm where numerics & computing strategies relevant for different scales in a dynamical system are combined to arrive at an effective computational solution than the one obtained from the strategy dealing with the most relevant single scale.
The group was established in 2011 for an emerging, effective & future-oriented modelling paradigm by fully exploiting power of HPC at CSIR-4PI, first in the field of atmospheric sciences. Under this activity we seek to develop an ultra-high resolution climate modeling framework to address multiscale processes of the atmosphere and analyze the data from observations and simulations in a data intensive paradigm of research. This is mainly to advance the simulation of weather and climate and climate change projections, General Circulation Models (GCMs) where atmospheric processes such as multiscale organization of organized convection and aerosol-cloud-radiation feedback, need to be effectively represented.
In March, 2016, the scope of the group was enhanced to include multi-scale problems ranging from space-based geodesy, computational geodynamics, surface processes and climate aspects from surface to ionosphere. The specific foci comprising multi-scale earthquake dynamics, land-form evolution processes, multi-scale modelling of deformation processes and seismo-ionospheric coupling.