Hello, I'm Jivesh Dixit.
Climate Scientist specializing in Multi-Year to Decadal Variability & S2S Prediction
I am a climate scientist with core expertise in predicting global multi-year to decadal climate variability modes, specifically the Pacific Decadal Oscillation (PDO) and the Tropical Atlantic SST Gradient (TAG). Building on this foundation in long-term predictability, I currently serve as a Project Scientist-II at NCMRWF. In this role, I apply advanced machine learning to subseasonal-to-seasonal (S2S) timescales, deploying deep learning architectures to bias-correct and downscale extended-range precipitation forecasts.
View Full CV
Latest Updates
October 2026
Submitted PhD thesis, "Prediction of regional climate at multi-year to decadal timescales," at IIT Delhi and received external examiner recommendations for Distinction in Doctoral Research.
October 2026
Submitted manuscript detailing PDO decadal prediction skill in CMIP6 to Climate Dynamics, alongside a preprint to the ESS Open Archive.
September 2026
Presented research poster at the S2S2D 2026 Conference hosted at the Department of Meteorology, University of Reading, UK, via a funded offer by the WMO.
May 2026
Created and released the open-source Python package xIndices for climate analysis, now archived on Zenodo.