17 citations as recorded by crossref.

1. A Physics‐Incorporated Deep Learning Framework for Parameterization of Atmospheric Radiative Transfer Y. Yao et al. https://doi.org/10.1029/2022MS003445
2. APPLICATION OF MACHINE LEARNING IN RADIATIVE HEAT TRANSFER W. Chen & T. Ren https://doi.org/10.1615/AnnualRevHeatTransfer.2025059506
3. Rapid radiative transfer neural network for weather forecasting acceleration N. Yavich et al. https://doi.org/10.1016/j.cnsns.2026.109840
4. Improved Weather Forecasting Using Neural Network Emulation for Radiation Parameterization H. Song & S. Roh https://doi.org/10.1029/2021MS002609
5. Applying Machine Learning in Numerical Weather and Climate Modeling Systems V. Krasnopolsky https://doi.org/10.3390/cli12060078
6. MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models P. Kumar et al. https://doi.org/10.1038/s41612-024-00652-y
7. An Evaluation of Radiation Parameterizations in a Meso-Scale Weather Prediction Model Using Satellite Flux Observations J. Choi et al. https://doi.org/10.3390/rs17193312
8. WRF–ML v1.0: a bridge between WRF v4.3 and machine learning parameterizations and its application to atmospheric radiative transfer X. Zhong et al. https://doi.org/10.5194/gmd-16-199-2023
9. Artificial Intelligence for Atmospheric and Oceanic Forecasting and Research: A Fudan University Perspective G. Dai et al. https://doi.org/10.1007/s00376-026-6149-7
10. Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5) C. Arnold et al. https://doi.org/10.5194/gmd-17-4017-2024
11. Forecasting the June Ridge Line of the Western Pacific Subtropical High with a Machine Learning Method C. Sun et al. https://doi.org/10.3390/atmos13050660
12. Impact of Horizontal Resolution on the Robustness of Radiation Emulators in a Numerical Weather Prediction Model H. Song & S. Roh https://doi.org/10.3390/rs15102637
13. NeuralMie (v1.0): an aerosol optics emulator A. Geiss & P. Ma https://doi.org/10.5194/gmd-18-1809-2025
14. Usefulness of Automatic Hyperparameter Optimization in Developing Radiation Emulator in a Numerical Weather Prediction Model P. Kim & H. Song https://doi.org/10.3390/atmos13050721
15. Recent Advances in AI-based Radiation Emulators for Numerical Weather and Climate Prediction Models S. Roh & H. Song https://doi.org/10.22761/GD.2026.0001
16. Neural emulator based on physical fields for accelerating the simulation of surface chlorophyll in an Earth System Model B. Wu et al. https://doi.org/10.1016/j.ocemod.2024.102491
17. Contribution of physical latent knowledge to the emulation of an atmospheric physics model: a study based on the LMDZ Atmospheric General Circulation Model S. Crossouard et al. https://doi.org/10.5194/gmd-19-5907-2026