Mon, Jan 18, 2021
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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.

CSIR-4PI welcomes corporates to invest CSR funds in R&D of institute – Please contact Group Leader

by K.Shimna and M. Sithartha Muthu Vijayan


Ionospheric disturbance (ID) detected using GPS based Total Electron Content (TEC) measurements are widely used to study the morphology and dynamics of the ionosphere, and its impact on radio communication and satellite based navigation. The IDs normally derived as rate of change of TEC (ROT) between consecutive ionospheric pierce points at uniform time interval implicitly results in non-uniform spatial sampling along the GPS satellite tracks. The non-uniform spatial sampling introduces aliasing in ROT. These aliasing corrupt amplitude and Signal-to-Noise Ratio (SNR) of the detected IDs. In this study, we propose a Spatio-Periodic Leveling Algorithm (SPLA) to remove such aliasing. Efficiency of the proposed algorithm was tested by simulating the IDs along a satellite track and validated with GPS observations carried out during 2015 St. Patrick's day geomagnetic storm. Spatiotemporal, and SNR analyses of simulated and observed IDs reveal that the SPLA is (i) efficient in removing the aliases, (ii) increases the SNR on an average of 99.5% compared to ROT, (iii) removes the need of applying elevation cut-off, and (iv) expands the area of coverage up to 65%.


Vision and Mission

Our Vision: To provide modelling, simulation and data-intensive capability powered by high-performance computing and informatics research.

Our Mission: To develop knowledge products in the earth system and information sciences for societal benefit by exploiting modelling, simulation and data science capabilities. The mission statement thus encompasses the continuation of existing modelling and simulation work in earth sciences and places emphasis on exploiting data science capabilities across domains.

Our Mandate: To develop reliable knowledge products for decision support in Earth, Engineering and Information Sciences. To be the national leader in High-Performance Computing as service that will power modelling and informatics across CSIR.


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