Publications
2024
Dadheech, N.*, He, T. L.*, & Turner, A. J. (2025). High-resolution greenhouse gas flux inversions using a machine learning surrogate model for atmospheric transport. Atmospheric Chemistry & Physics, 25, 5159–5174, https://doi.org/10.5194/acp-25-5159-2025, 2025.* equally contributed authors. PDF
Dadheech, N*, He, T. L.*, Thompson, T. M., & Turner, A. J. (2025). FootNet v1. 0: development of a machine learning emulator of atmospheric transport. Geoscientific Model Development, 18(5), 1661-1671., * equally contributed authors. PDF
Hamilton, S.D., Wu D., Johnson M.S., Turner A.J., Fischer M.L., Dadheech N., and Jeong S. (2024). Estimating carbon dioxide emissions in two California cities using Bayesian inversion and satellite measurements. PDF
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. PDF
