16 citations as recorded by crossref.

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3. Multi-objective genetic optimization of embodied and operational energy and carbon impacts of buildings in current and future scenarios M. Kamazani et al. 10.1016/j.enbuild.2025.115748
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5. Dual-frequency (Ka-band and G-band) radar estimates of liquid water content profiles in shallow clouds J. Socuellamos et al. 10.5194/amt-17-6965-2024
6. Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
7. The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques L. Canché-Cab et al. 10.1007/s10462-024-10962-5
8. Do the use of a convection scheme in the convective “gray zone” and the increase in spatial resolution enhance the WRF’s precipitation predictive capability? I. Stergiou et al. 10.1007/s00704-025-05415-0
9. Emulators of Climate Model Output C. Tebaldi et al. 10.1146/annurev-environ-012125-085838
10. A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al. 10.1002/asl.1268
11. Confronting Earth System Model trends with observations I. Simpson et al. 10.1126/sciadv.adt8035
12. Selection of climate simulations for climate change impact studies: case study of the Souss watershed, Morocco M. Meliho et al. 10.1007/s00704-025-05353-x
13. Progress and Limitations in Forest Carbon Stock Estimation Using Remote Sensing Technologies: A Comprehensive Review W. Xu et al. 10.3390/f16030449
14. Evaluating the Potential of ChatGPT to Support Climate Risk and Adaptation Assessment R. Wilby 10.1002/cli2.70013
15. Opinion: Optimizing climate models with process knowledge, resolution, and artificial intelligence T. Schneider et al. 10.5194/acp-24-7041-2024
16. Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization C. Christopoulos et al. 10.1029/2024MS004485