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CSIR Fourth Paradigm Institute

(Formerly CSIR Centre for Mathematical Modelling and Computer Simulation)

A constituent laboratory of Council of Scientific & Industrial Research (CSIR).

Ministry of Science and Technology, Government of India.

Modelling for science, for a better future - some recent outcomes

Solid Earth Modelling

Global Positioning System (GPS) based Geodesy had become capable of yielding sub-cm precision in location by the early 1990s and the possibility of it being used to determine crustal strain rates in India was recognised at C-MMACS in 1993 following the Khillari earthquake. Research at C-MMACS has since yielded fairly well constrained figures for the velocity of the Indian plate and the partitioning of strain from Kanya-Kumari to Ladakh in the trans-Himalyas. Over the years C-MMACS has also taken up the arduous task of setting up GPS stations in remote locations in the country to generate the required data base, and to extend application of GPS technology to other areas.

Solid Earth Modelling group is focused on precise GPS based quantification and modelling of inter, co- and post-seismic surface deformation in Indian subcontinent. In addition to this, the group works on modeling and simulation of ground motion for deterministic seismic hazard, site specific ground motion from scenario earthquakes and crustal and mantle structure by lithosphere modeling. The current topics of research are:

  •     Crustal Deformation
  •     Estimation of Precipitable water vapour using GPS
  •     Earthquake hazard assessment
  •     Site effects and and microzonation
  •     Lithosphere modelling

Climate and Environmental Modelling

Capacity to model and forecast climate and environmental processes at different spatio-temporal scales has the potential to revolutionize our approach and ability to address many issues that concern us closely. It was to address these issues in an integrated manner and to generate a capability for multiscale forecasting that CEMP was initiated.

The Climate and Environmental Modelling Programme CEMP) addresses multi-disciplinary modelling issues in combining climate simulation, process modelling (energy, disease, crop etc) in a hierarchical (global to regional models) and multi-scale (downscaling, neural networks etc) modelling platform. The current topics of research are:

  •     Climate Simulation
  •     Monsoon Simulation
  •     Cyclone Simulation
  •     Extreme Events
  •     Process models
  •     Algorithms
  •     Agricultural Systems Modelling

Carbon Cycle and Ocean Modelling

A detailed knowledge of the carbon cycle is an important component in the study of our changing climate. At C-MMACS we have endeavoured to investigate and integrate several components of the carbon cycle – oceanic, terrestrial and atmospheric along with a synthesis of modelling and measurements to elucidate the key processes in the climate system.

The capability to model the complete carbon cycle and its climatic feedback will enable us to make informed choices about climate change mitigation. At C-MMACS we have carried out a comprehensive study of this by integrating high precision data with sophisticated models of the oceanic circulation, carbon cycle, transport and inversion for robust flux estimation.

For the first time in India, carbon flux has been estimated by inverting the data from CO2 measurement stations at Hanle and Pondicherry which has reduced the posteriori uncertainties of these estimates significantly. The group focuses on in-house developed ocean biogeochemistry model which integrates physics, chemistry and biology of the marine system. The current topics of research are:

  •     Carbon cycle modelling and measurements for climate change mitigation
  •     Ocean biogeochemical modelling 

Vision: 

To synergize the strong expertise in various disciplines across CSIR and build a unified platform that embodies a rich set of big data enabling technologies and services with optimized performance to facilitate research collaboration and scientific discovery. 

Mission:

Develop knowledge products in Earth, Engineering and information sciences for societal good by exploiting modeling, simulation and data science capabilities.

Mandate: 

To develop reliable knowledge products for decision support in Earth, Engineering and Information sciences as well as to host centralised supercomputing facility for CSIR. 

Student Programme for Advancement in Research Knowledge (SPARK)

SPARK is intended to provide a unique opportunity to bright and motivated students of reputed Universities to carry out their major project/thesis work and advance their research knowledge in mathematical modelling and simulation of complex systems. The programme is intended to increase the interaction between scientists and faculty members of academic institutes along with their students towards a long term research collaboration. Click here to apply for SPARK.

A FAQ on SPARK is available here.