
The dataset for training and testing, the FNO code, the trained FNO model, and the namelist files are used in the paper: Gray-Zone Simulation of the Dry Convective Boundary Layer Using Fourier Neural Operator. The FNO code is also available at https://github.com/FreyLuo/FNO-CBL. The LES data can be found at https://doi.org/10.5281/zenodo.18326720.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
