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

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

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

Funding

Natural Environment Research Council: £650,403.00

4 Article

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

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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
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A systematic evaluation of high-cloud controlling factors
Wilson Kemsley, S., Ceppi, P., Andersen, H., Cermak, J., Stier, P. & Nowack, P., 24 Jul 2024, In: Atmospheric Chemistry and Physics. 24, 14, p. 8295–8316 22 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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1 Citation (Scopus)

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