Tarkeshwar Singh

Tarkeshwar Singh obtained his Ph.D. from the Indian Institute of Technology (IIT) Delhi, India, in 2018. He worked on developing a data assimilation system with the LMDZ atmospheric model to generate reanalysis for the Indian monsoon region. This assimilation package later became an integral component of the NCAR Data Assimilation Research Testbed (DART) software, making it accessible for community use.

Singh’s expertise spans oceanography, atmospheric science, and data assimilation. His research is centered on advancing climate models and improving predictive capabilities. Accurate climate prediction is of profound societal importance, and Singh addresses this challenge by integrating observational data with numerical simulations through state-of-the-art data assimilation techniques. He applies advanced assimilation methods across multiple Earth system components, including the ocean, atmosphere, and marine biogeochemistry.

At the Nansen Center, Singh is part of the team developing the Norwegian Climate Prediction Model (NorCPM), which provides an improved understanding of past, present, and future climate variability. His contributions include the development of a novel, flexible data assimilation framework designed to enhance ocean biogeochemical simulations by constraining model parameters with observations.

Currently, Singh is working on developing an Ocean-Connected Supermodel that couples four Earth System Models—EC-Earth, NorESM, CESM, and MPI-ESM—to enhance seasonal-to-decadal climate prediction. This supermodel interactively links the models through their ocean components, enabling systematic errors to compensate and yielding a more skillful unified model. As part of this work, Singh has developed the first ensemble-based data assimilation system with the EC-Earth3 model. His ongoing research focuses on extending and refining the supermodel framework for robust seasonal-to-decadal prediction.