Working as Scientist in Atmospheric Sciences Division, Space Applications Centre, ISRO. Mainly involved in Atmospheric Modeling (WRF Model), Data Assimilation and Real-Time Weather Forecast.
1. Randhir Singh, Prashant Kumar & P. K. Pal: Assimilation of Oceansat-2 Scatterometer Derived Surface Winds in the Weather Research and Forecasting Model. (Accepted in IEEE Transactions on Geoscience & Remote Sensing)
2. S. K. Deb, Prashant Kumar, P. K. Pal & P. C. Joshi: Assimilation of INSAT data in simulation of recent tropical cyclone AILA, 2010, International Journal of Remote Sensing, 2011, 1-11 (Taylor & Francis).
3. Prashant Kumar, Randhir Singh, P. C. Joshi and P. K. Pal: Impact of Additional Surface Observation Network on Short Range Weather Forecast during Summer Monsoon 2008 over Indian Subcontinent, JESS (Springer), 120, 2011, 1-12.
4. Shivani Shah, B. M. Rao, Prashant Kumar and P. K. Pal: Verification of cloud cover forecast with INSAT observation over western India, JESS (Springer), 119, 2010, 775-781.
5. Prashant Kumar & Manoj Kumar: Simulation of a Non-linear Steklov Eigen Value Problem Using Finite Element Approximation, Computational Mathematics and Modeling (Springer), 21, 2010, 109-116.
6. Prashant Kumar & Manoj Kumar: Finite Element Approximation for Singularly Perturbed Non-linear Elliptic Boundary Value Problems, Computational Mathematics and Modeling (Springer), 23, 2012.
7. Manoj Kumar & Prashant Kumar: Computational Method for Finding Various Solutions for a Quasilinear Elliptic Equation of Kirchhoff Type, Advances in Engineering Software (Elsevier), 40, 2009, 1104–1111.
8. Manoj Kumar & Prashant Kumar: A finite element approach for finding positive solutions of semilinear elliptic Dirichlet problems, Numerical Methods for Partial Differential Equations (Wiley), 25, 2009, 1119-1128.
9. Manoj Kumar, P. Singh & Prashant Kumar: A survey on various computational techniques for nonlinear elliptic boundary value problems, Advances in Engineering Software