Code & Tutorials

References

Dadheech, N. and Turner, A. J.: Simulating out-of-sample atmospheric transport to enable flux inversions, Atmospheric Chemistry and Physics, 26, 427–441, https://doi.org/10.5194/acp-26-427-2026

Dadheech, N.*, He T.*, and Turner A.J. (2025), High-resolution greenhouse gas flux inversions using a machine learning surrogate model for atmospheric transport, Atmospheric Chemistry and Physics, 25 (10), 5159-5174, https://doi.org/10.5194/acp-25-5159-2025

He T.*, Dadheech, N.*, and Turner A.J. (2025), FootNet v1. 0: development of a machine learning emulator of atmospheric transport. Geoscientific Model Development, 18 (5), 1661-1671, https://doi.org/10.1021/gmd-18-1661-2025