About me

Along with my Doctoral studies I am also working as a Project Scientist II at National Center for Medium Range Weather Forecasting (NCMRWF) as a part of Coupled Modelling and S2S forecasting Group. I am in the last phase of my Ph.D. studies. During my PhD I was awarded Prime Minister's Research Fellow (PMRF) fellowship at IIT Delhi advised by Prof. Krishna Mirle AchutaRao. My research is pivoted around Near-term prediction of regional climate. Broadly, one of the many grand challenges proposed by World Climate Research Program (WCRP), Near-Term Climate Prediction focuses on the improvement of climate prediction at multi-year to decadal time-scales, which can be beneficial to the decision makers and the stakeholders for planing and execution of public policies.

I pursued my Master of Engineering (M.E.) from Indian Institute of Science (IISc.), Bangalore in Mechanical Engineering (ME) department. My masters project on "Adaptive Mesh Refinement for 3D Multi-component compressible flows" was supervised by Prof. Ratnesh Kumar Shukla. After my M.E. I joined TATA Motors, Engineering Research Center (ERC), Aero-Thermal (CFD) group.

Publications

Negi P., Singh S., Sharma K., Dixit J., Kumar S. (2018) Experimental Investigation of Thermal Energy Storage System for Hot Air Applications. In: Siddiqui N., Tauseef S., Bansal K. (eds) Advances in Health and Environment Safety. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7122-5_12
Prateek Negi, Yashvir Singh, Jivesh Dixit, Manoj Gwalwanshi, Ravi Kanojia (2021), Experimental analysis based parametric study of packed bed heat regenerator with air as passing medium, Materials Today: Proceedings, Volume 46, Part 20, 2021, Pages 10488-10491, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2020.12.1193
Presented my work at AGU Annual Meeting 2022 in an oral presentation on “Influence of Climatology definition on the Prediction skill of CMIP6 Decadal hindcast experiments”. (Certificate) https://ui.adsabs.harvard.edu/abs/2022AGUFMGC22C..05D/abstract
Presented my work at the EGU General Assembly 2023 in an Oral presentation on “Representation of relationship between PDO and global precipitation in CMIP6 models”. https://doi.org/10.5194/egusphere-egu23-15027
Presented my work at the EGU General Assembly 2024 in an Poster presentation on “Relationship of the predictability of North Pacific Mode and ENSO with predictability of PDO”. https://doi.org/10.5194/egusphere-egu24-868

Awards/Achievements

Secured All India Rank 1 in GATE-2011.
Won Third prize at national level in SAE BAJA event of design of Virtual All Terrain Vehicle.
Awarded Prime Minister's Research Fellowship (PMRF) in Dec-2020 cycle
Awarded Early Career Scientist Travel Support (ECSTS) by European Geophysical Union to present my work in EGU General Assembly 2024 in Vienna, Austria.

Key Skills

Programming Packages: Python, MATLAB, FORTRAN, Bash scripting
Climate Models: CESM1.2.2, CESM2, WRF-ARW
CMIP6 data: Historical experiments, Shared Socio‐Economic Pathways (SSP) scenarios (SSP126, SSP245, SSP370, SSP585), Decadal Climate Prediction Project (DCPP) experiments etc.
Data Analysis Packages (Python): CDAT, Xarray, Pandas, xCDAT, ncl, numpy, scipy, scikit-learn, tensorflow, multiprocessing etc.
Post Processing Tools: Matplotlib, Seaborn, VCS, Tecplot etc.