Publications & Presentations
Publications
Submitted/Under review/In preparation
Dadheech, N., He T., Turner A., (2023). Computationally efficient method of estimating greenhouse gases emissions at kilometer scale by emulating atmospheric transport using machine learning. In prep
He T., Dadheech, N., Turner A., (2023). Development of a deep learning emulator of source-receptor footprints for computationally efficient flux inversions. In prep
2021
Shukla, K., Dadheech, N., Kumar, P., & Khare, M. (2021). Regression-based flexible models for photochemical air pollutants in the national capital territory of megacity Delhi. Chemosphere, 272, 129611.
Presentations
Estimating greenhouse gases emissions by emulating atmospheric transport using machine learning. Invited presentation at the NASA Jet Propulsion Laboratory (JPL) Carbon Club seminar, remote. April 20, 2023
Development of a deep learning emulator of source-receptor footprints for computationally efficient flux inversions. Poster at the 2022 American Geophysical Union (AGU) Fall meeting, Chicago, IL