14 citations as recorded by crossref.

1. Quantum-Inspired Neural Radiative Transfer (QINRT): A Multi-Scale Computational Framework for Next-Generation Climate Intelligence M. Akhtar
2. Opinion: Can uncertainty in climate sensitivity be narrowed further? S. Sherwood & C. Forest
3. Unraveling deep-learning detection of atmospheric Kármán vortex streets: dataset, baseline benchmarking, and optimization Y. Zhang et al.
4. The CUISINES Framework for Conducting Exoplanet Model Intercomparison Projects, Version 1.0 L. Sohl et al.
5. Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al.
6. Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology A. Kaps et al.
7. Surface Broadband Radiation Data from a Bipolar Perspective: Assessing Climate Change Through Machine Learning A. Cavaliere et al.
8. Re-appraisal of the global climatic role of natural forests for improved climate projections and policies A. Makarieva et al.
9. Recent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth’s Energy Imbalance: A Review T. Michibata et al.
10. CloudViT: exploring cloud type classification with vision transformers in global satellite data J. Lenhardt et al.
11. Cloud properties and their projected changes in CMIP models with low to high climate sensitivity L. Bock & A. Lauer
12. Enhancing Kármán Vortex Street Detection via Auxiliary Networks Incorporating Key Atmospheric Parameters Y. Zhang et al.
13. Aerosol-related effects on the occurrence of heterogeneous ice formation over Lauder, New Zealand ∕ Aotearoa J. Hofer et al.
14. The implications of maintaining Earth's hemispheric albedo symmetry for shortwave radiative feedbacks A. Jönsson & F. Bender