Machine learning approaches to constrain and understand the role of clouds in climate change (ML4CLOUDS)

Joshi, Manoj (Principal Investigator)
Osborn, Timothy (Co-Investigator)

Status	Finished
Effective start/end date	1/06/22 → 31/12/25

Funding

Natural Environment Research Council: £650,403.00

5 Article

Utilising Benford's Law in the Validation of Precipitation Datasets
Gollop, A., Wilson Kemsley, S., Osborn, T., Joshi, M., Stevens, D. & Harris, I., 26 Jan 2026, In: International Journal of Climatology. 46, 3, e70221.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Climate models underestimate global decreases in high-cloud amount with warming
Wilson Kemsley, S., Nowack, P. & Ceppi, P., 16 Apr 2025, In: Geophysical Research Letters. 52, 7, e2024GL113316.
Research output: Contribution to journal › Article › peer-review

Open Access
File

5 Citations (Scopus)

26 Downloads (Pure)
Process-based machine learning observationally constrains future regional warming projections
Wilkinson, S., Nowack, P. & Joshi, M., Jun 2025, In: Journal of Geophysical Research: Machine Learning and Computation. 2, 2, e2025JH000698.
Research output: Contribution to journal › Article › peer-review

Open Access
File

2 Citations (Scopus)

18 Downloads (Pure)