Curriculum Vitae
Education
PhD, Climate Variability and Prediction
2026
Centre for Atmospheric Sciences, Indian Institute of Technology (IIT) Delhi
Research focus: Prediction of Regional Climate at multi-year to decadal timescales. Recommended for Distinction in Doctoral Research.
Master of Engineering (M.E.), Mechanical Engineering
2013
Department of Mechanical Engineering, Indian Institute of Science (IISc) Bangalore
Bachelor of Technology (B.Tech.), Mechanical Engineering & Technology
2010
Krishna Institute of Engineering and Technology, Ghaziabad
Experience
Project Scientist-II
Jul 2024 – present
National Centre for Medium Range Weather Forecasting (NCMRWF), MoES, Noida, India
Monsoon Mission III project, Coupled Modeling group.
Asst. Professor
2015 – 2019
Department of Mechanical Engineering, Graphic ERA University, Dehradun, India
Technical Manager II
2013 – 2014
TATA Motors, Engineering Research Center (ERC), Pune, India
Core: Thermal Analysis of Under-hood components (in PVBU) using CFD. Responsibilities: Identification and remedial solution of thermally critical parts.
Publications
Peer-Reviewed Journal Articles
- J. Dixit, H. Kodamana, S. Sandeep, K. M. AchutaRao (2026). Deep Learning-Based Correction of Decadal Predictions of the PDO and TAG Indices. IEEE Geoscience and Remote Sensing Letters, 23, 1–5. doi:10.1109/LGRS.2026.3662257
- P. Negi, Y. Singh, J. Dixit, M. Gwalwanshi, R. Kanojia (2021). Experimental analysis based parametric study of packed bed heat regenerator with air as passing medium. Materials Today: Proceedings, 46, 10488–10491. doi:10.1016/j.matpr.2020.12.1193
- P. Negi, S. Singh, K. Sharma, J. Dixit, S. Kumar (2018). Experimental Investigation of Thermal Energy Storage System for Hot Air Applications. Advances in Health and Environment Safety, Springer, 101–114.
Under Review / Submitted
- J. Dixit, K. M. AchutaRao, S. Sandeep. Future Warming Shortens the Memory of the Pacific Decadal Oscillation and Erodes a Source of Near-Term Predictability. Earth's Future (under review). Preprint: 10.22541/essoar.15011423/v1
- J. Dixit, K. M. AchutaRao, S. Sandeep. Amplified land rainfall response to the Pacific Decadal Oscillation through stronger El Niño variability. Nature Communications (submitted).
- J. Dixit, V. M. Mehta, K. M. AchutaRao. Estimating PDO decadal prediction skill in CMIP6: the roles of climatology definition and initialization frequency. Climate Dynamics (under review).
- A. Dixit, N. Najibi, N. Mishra, J. Dixit, F. Lehner. Contrasting dynamical and thermodynamical pathways shaped the 2024 Indian heatwave. Environmental Research Letters (under review).
- N. Chandra, J. Dixit, et al. Quantifying Interpolation-Induced Representativeness Error in Satellite SST over the Indian Ocean. QJRMS (under review).
- D. S. Bisht, J. Dixit, et al. A Robust Deep Learning Framework for Long-Lead Prediction of Indian Summer Monsoon Rainfall. International Journal of Climatology (under review).
Manuscripts in Preparation
- J. Dixit, et al. Enhancing Subseasonal Predictability of Indian Monsoon Rainfall Using Deep Learning and Variance-Restoring Post-Processing. For IEEE Transactions on Geoscience and Remote Sensing.
- J. Dixit, et al. Hyperactive Coupling Limits ENSO Predictability: A Process-Based Diagnostic of the NCUM Seasonal Hindcast System. For Climate Dynamics.
- D. S. Bisht, S. Kaur, J. Dixit, et al. A Storm-Centric Three-Dimensional Diagnosis of AI-Based and Physics-Based Forecasts for Cyclonic Storm Ditwah (2025). For Natural Hazards.
Conference Proceedings
- J. Dixit, H. Kodamana, S. Sandeep, K. M. AchutaRao (2026). Statistical improvement of TAG Index Prediction Skill in DCPP-A Hindcast Experiments Using Deep Learning. EGU General Assembly Conference Abstracts.
- J. Dixit, K. M. AchutaRao (2025). Improvement of PDO Index Prediction Skill in DCPP-A Hindcast Experiments Using Machine Learning. AGU Fall Meeting.
- J. Dixit, K. M. AchutaRao (2024). Relationship of the predictability of North Pacific Mode and ENSO with predictability of PDO. EGU General Assembly Conference Abstracts, 868.
- J. Dixit, V. M. Mehta, K. M. AchutaRao (2023). Representation of relationship between PDO and global precipitation in CMIP6 models. EGU General Assembly Conference Abstracts.
- J. Dixit, V. M. Mehta, K. M. AchutaRao (2022). Influence of Climatology definition on the Prediction skill of CMIP6 Decadal hindcast experiments. AGU Fall Meeting Abstracts.
Certification Courses & Workshops
- Artificial Intelligence for Earth System Science (NCAR) (AI4ESS)
- Introduction to Data Science in Python (Coursera) & Linear Regression with Numpy and Python (Coursera)
- Introduction to managing the financial risks from climate change (TCFD Knowledge Hub)
- Understanding the recommendations of the Task Force on Climate-related Financial Disclosures (TCFD) (TCFD Knowledge Hub)
- Introduction to scenario analysis (TCFD Knowledge Hub)
- Introduction to ESG (CFI)
- Linux System Security and Administration (ISEA Govt. of India Project Phase II)